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Present Your Data Like a Pro

  • Joel Schwartzberg

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Demystify the numbers. Your audience will thank you.

While a good presentation has data, data alone doesn’t guarantee a good presentation. It’s all about how that data is presented. The quickest way to confuse your audience is by sharing too many details at once. The only data points you should share are those that significantly support your point — and ideally, one point per chart. To avoid the debacle of sheepishly translating hard-to-see numbers and labels, rehearse your presentation with colleagues sitting as far away as the actual audience would. While you’ve been working with the same chart for weeks or months, your audience will be exposed to it for mere seconds. Give them the best chance of comprehending your data by using simple, clear, and complete language to identify X and Y axes, pie pieces, bars, and other diagrammatic elements. Try to avoid abbreviations that aren’t obvious, and don’t assume labeled components on one slide will be remembered on subsequent slides. Every valuable chart or pie graph has an “Aha!” zone — a number or range of data that reveals something crucial to your point. Make sure you visually highlight the “Aha!” zone, reinforcing the moment by explaining it to your audience.

With so many ways to spin and distort information these days, a presentation needs to do more than simply share great ideas — it needs to support those ideas with credible data. That’s true whether you’re an executive pitching new business clients, a vendor selling her services, or a CEO making a case for change.

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  • JS Joel Schwartzberg oversees executive communications for a major national nonprofit, is a professional presentation coach, and is the author of Get to the Point! Sharpen Your Message and Make Your Words Matter and The Language of Leadership: How to Engage and Inspire Your Team . You can find him on LinkedIn and X. TheJoelTruth

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10 Methods of Data Presentation with 5 Great Tips to Practice, Best in 2024

10 Methods of Data Presentation with 5 Great Tips to Practice, Best in 2024

Leah Nguyen • 27 Oct 2023 • 10 min read

Finding ways to present information effectively? You can end deathly boring and ineffective data presentation right now with our 10 methods of data presentation . Check out the examples from each technique!

Have you ever presented a data report to your boss/coworkers/teachers thinking it was super dope like you’re some cyber hacker living in the Matrix, but all they saw was a pile of static numbers that seemed pointless and didn’t make sense to them?

Understanding digits is rigid . Making people from non-analytical backgrounds understand those digits is even more challenging.

How can you clear up those confusing numbers in the types of presentation that have the flawless clarity of a diamond? So, let’s check out best way to present data. 💎

Table of Contents

  • What are Methods of Data Presentations?
  • #1 – Tabular

#2 – Text

#3 – pie chart, #4 – bar chart, #5 – histogram, #6 – line graph, #7 – pictogram graph, #8 – radar chart, #9 – heat map, #10 – scatter plot.

  • 5 Mistakes to Avoid
  • Best Method of Data Presentation

Frequently Asked Questions

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  • Types of Presentation

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What are Methods of Data Presentation?

The term ’data presentation’ relates to the way you present data in a way that makes even the most clueless person in the room understand. 

Some say it’s witchcraft (you’re manipulating the numbers in some ways), but we’ll just say it’s the power of turning dry, hard numbers or digits into a visual showcase that is easy for people to digest.

Presenting data correctly can help your audience understand complicated processes, identify trends, and instantly pinpoint whatever is going on without exhausting their brains.

Good data presentation helps…

  • Make informed decisions and arrive at positive outcomes . If you see the sales of your product steadily increase throughout the years, it’s best to keep milking it or start turning it into a bunch of spin-offs (shoutout to Star Wars👀).
  • Reduce the time spent processing data . Humans can digest information graphically 60,000 times faster than in the form of text. Grant them the power of skimming through a decade of data in minutes with some extra spicy graphs and charts.
  • Communicate the results clearly . Data does not lie. They’re based on factual evidence and therefore if anyone keeps whining that you might be wrong, slap them with some hard data to keep their mouths shut.
  • Add to or expand the current research . You can see what areas need improvement, as well as what details often go unnoticed while surfing through those little lines, dots or icons that appear on the data board.

Methods of Data Presentation and Examples

Imagine you have a delicious pepperoni, extra-cheese pizza. You can decide to cut it into the classic 8 triangle slices, the party style 12 square slices, or get creative and abstract on those slices. 

There are various ways for cutting a pizza and you get the same variety with how you present your data. In this section, we will bring you the 10 ways to slice a pizza – we mean to present your data – that will make your company’s most important asset as clear as day. Let’s dive into 10 ways to present data efficiently.

#1 – Tabular 

Among various types of data presentation, tabular is the most fundamental method, with data presented in rows and columns. Excel or Google Sheets would qualify for the job. Nothing fancy.

a table displaying the changes in revenue between the year 2017 and 2018 in the East, West, North, and South region

This is an example of a tabular presentation of data on Google Sheets. Each row and column has an attribute (year, region, revenue, etc.), and you can do a custom format to see the change in revenue throughout the year.

When presenting data as text, all you do is write your findings down in paragraphs and bullet points, and that’s it. A piece of cake to you, a tough nut to crack for whoever has to go through all of the reading to get to the point.

  • 65% of email users worldwide access their email via a mobile device.
  • Emails that are optimised for mobile generate 15% higher click-through rates.
  • 56% of brands using emojis in their email subject lines had a higher open rate.

(Source: CustomerThermometer )

All the above quotes present statistical information in textual form. Since not many people like going through a wall of texts, you’ll have to figure out another route when deciding to use this method, such as breaking the data down into short, clear statements, or even as catchy puns if you’ve got the time to think of them.

A pie chart (or a ‘donut chart’ if you stick a hole in the middle of it) is a circle divided into slices that show the relative sizes of data within a whole. If you’re using it to show percentages, make sure all the slices add up to 100%.

Methods of data presentation

The pie chart is a familiar face at every party and is usually recognised by most people. However, one setback of using this method is our eyes sometimes can’t identify the differences in slices of a circle, and it’s nearly impossible to compare similar slices from two different pie charts, making them the villains in the eyes of data analysts.

a half-eaten pie chart

Bonus example: A literal ‘pie’ chart! 🥧

The bar chart is a chart that presents a bunch of items from the same category, usually in the form of rectangular bars that are placed at an equal distance from each other. Their heights or lengths depict the values they represent.

They can be as simple as this:

a simple bar chart example

Or more complex and detailed like this example of presentation of data. Contributing to an effective statistic presentation, this one is a grouped bar chart that not only allows you to compare categories but also the groups within them as well.

an example of a grouped bar chart

Similar in appearance to the bar chart but the rectangular bars in histograms don’t often have the gap like their counterparts.

Instead of measuring categories like weather preferences or favourite films as a bar chart does, a histogram only measures things that can be put into numbers.

an example of a histogram chart showing the distribution of students' score for the IQ test

Teachers can use presentation graphs like a histogram to see which score group most of the students fall into, like in this example above.

Recordings to ways of displaying data, we shouldn’t overlook the effectiveness of line graphs. Line graphs are represented by a group of data points joined together by a straight line. There can be one or more lines to compare how several related things change over time. 

an example of the line graph showing the population of bears from 2017 to 2022

On a line chart’s horizontal axis, you usually have text labels, dates or years, while the vertical axis usually represents the quantity (e.g.: budget, temperature or percentage).

A pictogram graph uses pictures or icons relating to the main topic to visualise a small dataset. The fun combination of colours and illustrations makes it a frequent use at schools.

How to Create Pictographs and Icon Arrays in Visme-6 pictograph maker

Pictograms are a breath of fresh air if you want to stay away from the monotonous line chart or bar chart for a while. However, they can present a very limited amount of data and sometimes they are only there for displays and do not represent real statistics.

If presenting five or more variables in the form of a bar chart is too stuffy then you should try using a radar chart, which is one of the most creative ways to present data.

Radar charts show data in terms of how they compare to each other starting from the same point. Some also call them ‘spider charts’ because each aspect combined looks like a spider web.

a radar chart showing the text scores between two students

Radar charts can be a great use for parents who’d like to compare their child’s grades with their peers to lower their self-esteem. You can see that each angular represents a subject with a score value ranging from 0 to 100. Each student’s score across 5 subjects is highlighted in a different colour.

a radar chart showing the power distribution of a Pokemon

If you think that this method of data presentation somehow feels familiar, then you’ve probably encountered one while playing Pokémon .

A heat map represents data density in colours. The bigger the number, the more colour intense that data will be represented.

a heatmap showing the electoral votes among the states between two candidates

Most U.S citizens would be familiar with this data presentation method in geography. For elections, many news outlets assign a specific colour code to a state, with blue representing one candidate and red representing the other. The shade of either blue or red in each state shows the strength of the overall vote in that state.

a heatmap showing which parts the visitors click on in a website

Another great thing you can use a heat map for is to map what visitors to your site click on. The more a particular section is clicked the ‘hotter’ the colour will turn, from blue to bright yellow to red.

If you present your data in dots instead of chunky bars, you’ll have a scatter plot. 

A scatter plot is a grid with several inputs showing the relationship between two variables. It’s good at collecting seemingly random data and revealing some telling trends.

a scatter plot example showing the relationship between beach visitors each day and the average daily temperature

For example, in this graph, each dot shows the average daily temperature versus the number of beach visitors across several days. You can see that the dots get higher as the temperature increases, so it’s likely that hotter weather leads to more visitors.

5 Data Presentation Mistakes to Avoid

#1 – assume your audience understands what the numbers represent.

You may know all the behind-the-scenes of your data since you’ve worked with them for weeks, but your audience doesn’t.

a sales data board from Looker

Showing without telling only invites more and more questions from your audience, as they have to constantly make sense of your data, wasting the time of both sides as a result.

While showing your data presentations, you should tell them what the data are about before hitting them with waves of numbers first. You can use interactive activities such as polls , word clouds and Q&A sections to assess their understanding of the data and address any confusion beforehand.

#2 – Use the wrong type of chart

Charts such as pie charts must have a total of 100% so if your numbers accumulate to 193% like this example below, you’re definitely doing it wrong.

a bad example of using a pie chart in the 2012 presidential run

Before making a chart, ask yourself: what do I want to accomplish with my data? Do you want to see the relationship between the data sets, show the up and down trends of your data, or see how segments of one thing make up a whole?

Remember, clarity always comes first. Some data visualisations may look cool, but if they don’t fit your data, steer clear of them. 

#3 – Make it 3D

3D is a fascinating graphical presentation example. The third dimension is cool, but full of risks.

slides presentation data

Can you see what’s behind those red bars? Because we can’t either. You may think that 3D charts add more depth to the design, but they can create false perceptions as our eyes see 3D objects closer and bigger than they appear, not to mention they cannot be seen from multiple angles.

#4 – Use different types of charts to compare contents in the same category

slides presentation data

This is like comparing a fish to a monkey. Your audience won’t be able to identify the differences and make an appropriate correlation between the two data sets. 

Next time, stick to one type of data presentation only. Avoid the temptation of trying various data visualisation methods in one go and make your data as accessible as possible.

#5 – Bombard the audience with too much information

The goal of data presentation is to make complex topics much easier to understand, and if you’re bringing too much information to the table, you’re missing the point.

a very complicated data presentation with too much information on the screen

The more information you give, the more time it will take for your audience to process it all. If you want to make your data understandable and give your audience a chance to remember it, keep the information within it to an absolute minimum.

What are the Best Methods of Data Presentation?

Finally, which is the best way to present data?

The answer is…

There is none 😄 Each type of presentation has its own strengths and weaknesses and the one you choose greatly depends on what you’re trying to do. 

For example:

  • Go for a scatter plot if you’re exploring the relationship between different data values, like seeing whether the sales of ice cream go up because of the temperature or because people are just getting more hungry and greedy each day?
  • Go for a line graph if you want to mark a trend over time. 
  • Go for a heat map if you like some fancy visualisation of the changes in a geographical location, or to see your visitors’ behaviour on your website.
  • Go for a pie chart (especially in 3D) if you want to be shunned by others because it was never a good idea👇

example of how a bad pie chart represents the data in a complicated way

Got a question? We've got answers.

What is chart presentation?

When can i use charts for presentation, why should use charts for presentation, what are the 4 graphical methods of presenting data.

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Leah Nguyen

Words that convert, stories that stick. I turn complex ideas into engaging narratives - helping audiences learn, remember, and take action.

More from AhaSlides

Business Analyst Skills 101: A Roadmap To Success In The Data-Driven Era

10 Superb Data Presentation Examples To Learn From

The best way to learn how to present data effectively is to see data presentation examples from the professionals in the field.

We collected superb examples of graphical presentation and visualization of data in statistics, research, sales, marketing, business management, and other areas.

On this page:

How to present data effectively? Clever tips.

  • 10 Real-life examples of data presentation with interpretation.

Download the above infographic in PDF

Your audience should be able to walk through the graphs and visualizations easily while enjoy and respond to the story.

[bctt tweet=”Your reports and graphical presentations should not just deliver statistics, numbers, and data. Instead, they must tell a story, illustrate a situation, provide proofs, win arguments, and even change minds.” username=””]

Before going to data presentation examples let’s see some essential tips to help you build powerful data presentations.

1. Keep it simple and clear

The presentation should be focused on your key message and you need to illustrate it very briefly.

Graphs and charts should communicate your core message, not distract from it. A complicated and overloaded chart can distract and confuse. Eliminate anything repetitive or decorative.

2. Pick up the right visuals for the job

A vast number of types of graphs and charts are available at your disposal – pie charts, line and bar graphs, scatter plot , Venn diagram , etc.

Choosing the right type of chart can be a tricky business. Practically, the choice depends on 2 major things: on the kind of analysis you want to present and on the data types you have.

Commonly, when we aim to facilitate a comparison, we use a bar chart or radar chart. When we want to show trends over time, we use a line chart or an area chart and etc.

3. Break the complex concepts into multiple graphics

It’s can be very hard for a public to understand a complicated graphical visualization. Don’t present it as a huge amount of visual data.

Instead, break the graphics into pieces and illustrate how each piece corresponds to the previous one.

4. Carefully choose the colors

Colors provoke different emotions and associations that affect the way your brand or story is perceived. Sometimes color choices can make or break your visuals.

It is no need to be a designer to make the right color selections. Some golden rules are to stick to 3 or 4 colors avoiding full-on rainbow look and to borrow ideas from relevant chart designs.

Another tip is to consider the brand attributes and your audience profile. You will see appropriate color use in the below data presentation examples.

5. Don’t leave a lot of room for words

The key point in graphical data presentation is to tell the story using visuals and images, not words. Give your audience visual facts, not text.

However, that doesn’t mean words have no importance.

A great advice here is to think that every letter is critical, and there’s no room for wasted and empty words. Also, don’t create generic titles and headlines, build them around the core message.

6. Use good templates and software tools

Building data presentation nowadays means using some kind of software programs and templates. There are many available options – from free graphing software solutions to advanced data visualization tools.

Choosing a good software gives you the power to create good and high-quality visualizations. Make sure you are using templates that provides characteristics like colors, fonts, and chart styles.

A small investment of time to research the software options prevents a large loss of productivity and efficiency at the end.

10 Superb data presentation examples 

Here we collected some of the best examples of data presentation made by one of the biggest names in the graphical data visualization software and information research.

These brands put a lot of money and efforts to investigate how professional graphs and charts should look.

1. Sales Stage History  Funnel Chart 

Data is beautiful and this sales stage funnel chart by Zoho Reports prove this. The above funnel chart represents the different stages in a sales process (Qualification, Need Analysis, Initial Offer, etc.) and shows the potential revenue for each stage for the last and this quarter.

The potential revenue for each sales stage is displayed by a different color and sized according to the amount. The chart is very colorful, eye-catching, and intriguing.

2. Facebook Ads Data Presentation Examples

These are other data presentation examples from Zoho Reports. The first one is a stacked bar chart that displays the impressions breakdown by months and types of Facebook campaigns.

Impressions are one of the vital KPI examples in digital marketing intelligence and business. The first graph is designed to help you compare and notice sharp differences at the Facebook campaigns that have the most influence on impression movements.

The second one is an area chart that shows the changes in the costs for the same Facebook campaigns over the months.

The 2 examples illustrate how multiple and complicated data can be presented clearly and simply in a visually appealing way.

3. Sales Opportunity Data Presentation

These two bar charts (stacked and horizontal bar charts) by Microsoft Power Bi are created to track sales opportunities and revenue by region and sales stage.

The stacked bar graph shows the revenue probability in percentage determined by the current sales stage (Lead, Quality, Solution…) over the months. The horizontal bar chart represents the size of the sales opportunity (Small, Medium, Large) according to regions (East, Central, West).

Both graphs are impressive ways for a sales manager to introduce the upcoming opportunity to C-level managers and stakeholders. The color combination is rich but easy to digest.

4. Power 100 Data Visualization 

Want to show hierarchical data? Treemaps can be perfect for the job. This is a stunning treemap example by Infogram.com that shows you who are the most influential industries. As you see the Government is on the top.

This treemap is a very compact and space-efficient visualization option for presenting hierarchies, that gives you a quick overview of the structure of the most powerful industries.

So beautiful way to compare the proportions between things via their area size.

When it comes to best research data presentation examples in statistics, Nielsen information company is an undoubted leader. The above professional looking line graph by Nielsen represent the slowing alcoholic grow of 4 alcohol categories (Beer, Wine, Spirits, CPG) for the period of 12 months.

The chart is an ideal example of a data visualization that incorporates all the necessary elements of an effective and engaging graph. It uses color to let you easily differentiate trends and allows you to get a global sense of the data. Additionally, it is incredibly simple to understand.

6. Digital Health Research Data Visualization Example

Digital health is a very hot topic nowadays and this stunning donut chart by IQVIA shows the proportion of different mobile health apps by therapy area (Mental Health, Diabetes, Kidney Disease, and etc.). 100% = 1749 unique apps.

This is a wonderful example of research data presentation that provides evidence of Digital Health’s accelerating innovation and app expansion.

Besides good-looking, this donut chart is very space-efficient because the blank space inside it is used to display information too.

7. Disease Research Data Visualization Examples

Presenting relationships among different variables is hard to understand and confusing -especially when there is a huge number of them. But using the appropriate visuals and colors, the IQVIA did a great job simplifying this data into a clear and digestible format.

The above stacked bar charts by IQVIA represents the distribution of oncology medicine spendings by years and product segments (Protected Brand Price, Protected Brand Volume, New Brands, etc.).

The chart allows you to clearly see the changes in spendings and where they occurred – a great example of telling a deeper story in a simple way.

8. Textual and Qualitative Data Presentation Example

When it comes to easy to understand and good looking textual and qualitative data visualization, pyramid graph has a top place. To know what is qualitative data see our post quantitative vs qualitative data .

9. Product Metrics Graph Example

If you are searching for excel data presentation examples, this stylish template from Smartsheet can give you good ideas for professional looking design.

The above stacked bar chart represents product revenue breakdown by months and product items. It reveals patterns and trends over the first half of the year that can be a good basis for data-driven decision-making .

10. Supply Chain Data Visualization Example 

This bar chart created by ClicData  is an excellent example of how trends over time can be effectively and professionally communicated through the use of well-presented visualization.

It shows the dynamics of pricing through the months based on units sold, units shipped, and current inventory. This type of graph pack a whole lot of information into a simple visual. In addition, the chart is connected to real data and is fully interactive.

The above data presentation examples aim to help you learn how to present data effectively and professionally.

About The Author

slides presentation data

Silvia Valcheva

Silvia Valcheva is a digital marketer with over a decade of experience creating content for the tech industry. She has a strong passion for writing about emerging software and technologies such as big data, AI (Artificial Intelligence), IoT (Internet of Things), process automation, etc.

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Blog Data Visualization

10 Data Presentation Examples For Strategic Communication

By Krystle Wong , Sep 28, 2023

Data Presentation Examples

Knowing how to present data is like having a superpower. 

Data presentation today is no longer just about numbers on a screen; it’s storytelling with a purpose. It’s about captivating your audience, making complex stuff look simple and inspiring action. 

To help turn your data into stories that stick, influence decisions and make an impact, check out Venngage’s free chart maker or follow me on a tour into the world of data storytelling along with data presentation templates that work across different fields, from business boardrooms to the classroom and beyond. Keep scrolling to learn more! 

Click to jump ahead:

10 Essential data presentation examples + methods you should know

What should be included in a data presentation, what are some common mistakes to avoid when presenting data, faqs on data presentation examples, transform your message with impactful data storytelling.

Data presentation is a vital skill in today’s information-driven world. Whether you’re in business, academia, or simply want to convey information effectively, knowing the different ways of presenting data is crucial. For impactful data storytelling, consider these essential data presentation methods:

1. Bar graph

Ideal for comparing data across categories or showing trends over time.

Bar graphs, also known as bar charts are workhorses of data presentation. They’re like the Swiss Army knives of visualization methods because they can be used to compare data in different categories or display data changes over time. 

In a bar chart, categories are displayed on the x-axis and the corresponding values are represented by the height of the bars on the y-axis. 

slides presentation data

It’s a straightforward and effective way to showcase raw data, making it a staple in business reports, academic presentations and beyond.

Make sure your bar charts are concise with easy-to-read labels. Whether your bars go up or sideways, keep it simple by not overloading with too many categories.

slides presentation data

2. Line graph

Great for displaying trends and variations in data points over time or continuous variables.

Line charts or line graphs are your go-to when you want to visualize trends and variations in data sets over time.

One of the best quantitative data presentation examples, they work exceptionally well for showing continuous data, such as sales projections over the last couple of years or supply and demand fluctuations. 

slides presentation data

The x-axis represents time or a continuous variable and the y-axis represents the data values. By connecting the data points with lines, you can easily spot trends and fluctuations.

A tip when presenting data with line charts is to minimize the lines and not make it too crowded. Highlight the big changes, put on some labels and give it a catchy title.

slides presentation data

3. Pie chart

Useful for illustrating parts of a whole, such as percentages or proportions.

Pie charts are perfect for showing how a whole is divided into parts. They’re commonly used to represent percentages or proportions and are great for presenting survey results that involve demographic data. 

Each “slice” of the pie represents a portion of the whole and the size of each slice corresponds to its share of the total. 

slides presentation data

While pie charts are handy for illustrating simple distributions, they can become confusing when dealing with too many categories or when the differences in proportions are subtle.

Don’t get too carried away with slices — label those slices with percentages or values so people know what’s what and consider using a legend for more categories.

slides presentation data

4. Scatter plot

Effective for showing the relationship between two variables and identifying correlations.

Scatter plots are all about exploring relationships between two variables. They’re great for uncovering correlations, trends or patterns in data. 

In a scatter plot, every data point appears as a dot on the chart, with one variable marked on the horizontal x-axis and the other on the vertical y-axis.

slides presentation data

By examining the scatter of points, you can discern the nature of the relationship between the variables, whether it’s positive, negative or no correlation at all.

If you’re using scatter plots to reveal relationships between two variables, be sure to add trendlines or regression analysis when appropriate to clarify patterns. Label data points selectively or provide tooltips for detailed information.

slides presentation data

5. Histogram

Best for visualizing the distribution and frequency of a single variable.

Histograms are your choice when you want to understand the distribution and frequency of a single variable. 

They divide the data into “bins” or intervals and the height of each bar represents the frequency or count of data points falling into that interval. 

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Histograms are excellent for helping to identify trends in data distributions, such as peaks, gaps or skewness.

Here’s something to take note of — ensure that your histogram bins are appropriately sized to capture meaningful data patterns. Using clear axis labels and titles can also help explain the distribution of the data effectively.

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6. Stacked bar chart

Useful for showing how different components contribute to a whole over multiple categories.

Stacked bar charts are a handy choice when you want to illustrate how different components contribute to a whole across multiple categories. 

Each bar represents a category and the bars are divided into segments to show the contribution of various components within each category. 

slides presentation data

This method is ideal for highlighting both the individual and collective significance of each component, making it a valuable tool for comparative analysis.

Stacked bar charts are like data sandwiches—label each layer so people know what’s what. Keep the order logical and don’t forget the paintbrush for snazzy colors. Here’s a data analysis presentation example on writers’ productivity using stacked bar charts:

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7. Area chart

Similar to line charts but with the area below the lines filled, making them suitable for showing cumulative data.

Area charts are close cousins of line charts but come with a twist. 

Imagine plotting the sales of a product over several months. In an area chart, the space between the line and the x-axis is filled, providing a visual representation of the cumulative total. 

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This makes it easy to see how values stack up over time, making area charts a valuable tool for tracking trends in data.

For area charts, use them to visualize cumulative data and trends, but avoid overcrowding the chart. Add labels, especially at significant points and make sure the area under the lines is filled with a visually appealing color gradient.

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8. Tabular presentation

Presenting data in rows and columns, often used for precise data values and comparisons.

Tabular data presentation is all about clarity and precision. Think of it as presenting numerical data in a structured grid, with rows and columns clearly displaying individual data points. 

A table is invaluable for showcasing detailed data, facilitating comparisons and presenting numerical information that needs to be exact. They’re commonly used in reports, spreadsheets and academic papers.

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When presenting tabular data, organize it neatly with clear headers and appropriate column widths. Highlight important data points or patterns using shading or font formatting for better readability.

9. Textual data

Utilizing written or descriptive content to explain or complement data, such as annotations or explanatory text.

Textual data presentation may not involve charts or graphs, but it’s one of the most used qualitative data presentation examples. 

It involves using written content to provide context, explanations or annotations alongside data visuals. Think of it as the narrative that guides your audience through the data. 

Well-crafted textual data can make complex information more accessible and help your audience understand the significance of the numbers and visuals.

Textual data is your chance to tell a story. Break down complex information into bullet points or short paragraphs and use headings to guide the reader’s attention.

10. Pictogram

Using simple icons or images to represent data is especially useful for conveying information in a visually intuitive manner.

Pictograms are all about harnessing the power of images to convey data in an easy-to-understand way. 

Instead of using numbers or complex graphs, you use simple icons or images to represent data points. 

For instance, you could use a thumbs up emoji to illustrate customer satisfaction levels, where each face represents a different level of satisfaction. 

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Pictograms are great for conveying data visually, so choose symbols that are easy to interpret and relevant to the data. Use consistent scaling and a legend to explain the symbols’ meanings, ensuring clarity in your presentation.

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Looking for more data presentation ideas? Use the Venngage graph maker or browse through our gallery of chart templates to pick a template and get started! 

A comprehensive data presentation should include several key elements to effectively convey information and insights to your audience. Here’s a list of what should be included in a data presentation:

1. Title and objective

  • Begin with a clear and informative title that sets the context for your presentation.
  • State the primary objective or purpose of the presentation to provide a clear focus.

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2. Key data points

  • Present the most essential data points or findings that align with your objective.
  • Use charts, graphical presentations or visuals to illustrate these key points for better comprehension.

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3. Context and significance

  • Provide a brief overview of the context in which the data was collected and why it’s significant.
  • Explain how the data relates to the larger picture or the problem you’re addressing.

4. Key takeaways

  • Summarize the main insights or conclusions that can be drawn from the data.
  • Highlight the key takeaways that the audience should remember.

5. Visuals and charts

  • Use clear and appropriate visual aids to complement the data.
  • Ensure that visuals are easy to understand and support your narrative.

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6. Implications or actions

  • Discuss the practical implications of the data or any recommended actions.
  • If applicable, outline next steps or decisions that should be taken based on the data.

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7. Q&A and discussion

  • Allocate time for questions and open discussion to engage the audience.
  • Address queries and provide additional insights or context as needed.

Presenting data is a crucial skill in various professional fields, from business to academia and beyond. To ensure your data presentations hit the mark, here are some common mistakes that you should steer clear of:

Overloading with data

Presenting too much data at once can overwhelm your audience. Focus on the key points and relevant information to keep the presentation concise and focused. Here are some free data visualization tools you can use to convey data in an engaging and impactful way. 

Assuming everyone’s on the same page

It’s easy to assume that your audience understands as much about the topic as you do. But this can lead to either dumbing things down too much or diving into a bunch of jargon that leaves folks scratching their heads. Take a beat to figure out where your audience is coming from and tailor your presentation accordingly.

Misleading visuals

Using misleading visuals, such as distorted scales or inappropriate chart types can distort the data’s meaning. Pick the right data infographics and understandable charts to ensure that your visual representations accurately reflect the data.

Not providing context

Data without context is like a puzzle piece with no picture on it. Without proper context, data may be meaningless or misinterpreted. Explain the background, methodology and significance of the data.

Not citing sources properly

Neglecting to cite sources and provide citations for your data can erode its credibility. Always attribute data to its source and utilize reliable sources for your presentation.

Not telling a story

Avoid simply presenting numbers. If your presentation lacks a clear, engaging story that takes your audience on a journey from the beginning (setting the scene) through the middle (data analysis) to the end (the big insights and recommendations), you’re likely to lose their interest.

Infographics are great for storytelling because they mix cool visuals with short and sweet text to explain complicated stuff in a fun and easy way. Create one with Venngage’s free infographic maker to create a memorable story that your audience will remember.

Ignoring data quality

Presenting data without first checking its quality and accuracy can lead to misinformation. Validate and clean your data before presenting it.

Simplify your visuals

Fancy charts might look cool, but if they confuse people, what’s the point? Go for the simplest visual that gets your message across. Having a dilemma between presenting data with infographics v.s data design? This article on the difference between data design and infographics might help you out. 

Missing the emotional connection

Data isn’t just about numbers; it’s about people and real-life situations. Don’t forget to sprinkle in some human touch, whether it’s through relatable stories, examples or showing how the data impacts real lives.

Skipping the actionable insights

At the end of the day, your audience wants to know what they should do with all the data. If you don’t wrap up with clear, actionable insights or recommendations, you’re leaving them hanging. Always finish up with practical takeaways and the next steps.

Can you provide some data presentation examples for business reports?

Business reports often benefit from data presentation through bar charts showing sales trends over time, pie charts displaying market share,or tables presenting financial performance metrics like revenue and profit margins.

What are some creative data presentation examples for academic presentations?

Creative data presentation ideas for academic presentations include using statistical infographics to illustrate research findings and statistical data, incorporating storytelling techniques to engage the audience or utilizing heat maps to visualize data patterns.

What are the key considerations when choosing the right data presentation format?

When choosing a chart format , consider factors like data complexity, audience expertise and the message you want to convey. Options include charts (e.g., bar, line, pie), tables, heat maps, data visualization infographics and interactive dashboards.

Knowing the type of data visualization that best serves your data is just half the battle. Here are some best practices for data visualization to make sure that the final output is optimized. 

How can I choose the right data presentation method for my data?

To select the right data presentation method, start by defining your presentation’s purpose and audience. Then, match your data type (e.g., quantitative, qualitative) with suitable visualization techniques (e.g., histograms, word clouds) and choose an appropriate presentation format (e.g., slide deck, report, live demo).

For more presentation ideas , check out this guide on how to make a good presentation or use a presentation software to simplify the process.  

How can I make my data presentations more engaging and informative?

To enhance data presentations, use compelling narratives, relatable examples and fun data infographics that simplify complex data. Encourage audience interaction, offer actionable insights and incorporate storytelling elements to engage and inform effectively.

The opening of your presentation holds immense power in setting the stage for your audience. To design a presentation and convey your data in an engaging and informative, try out Venngage’s free presentation maker to pick the right presentation design for your audience and topic. 

What is the difference between data visualization and data presentation?

Data presentation typically involves conveying data reports and insights to an audience, often using visuals like charts and graphs. Data visualization , on the other hand, focuses on creating those visual representations of data to facilitate understanding and analysis. 

Now that you’ve learned a thing or two about how to use these methods of data presentation to tell a compelling data story , it’s time to take these strategies and make them your own. 

But here’s the deal: these aren’t just one-size-fits-all solutions. Remember that each example we’ve uncovered here is not a rigid template but a source of inspiration. It’s all about making your audience go, “Wow, I get it now!”

Think of your data presentations as your canvas – it’s where you paint your story, convey meaningful insights and make real change happen. 

So, go forth, present your data with confidence and purpose and watch as your strategic influence grows, one compelling presentation at a time.

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Stages // require(['jquery'], function ($) { $(document).ready(function () { //removes paginator if items are less than selected items per page var paginator = $("#limiter :selected").text(); var itemsPerPage = parseInt(paginator); var itemsCount = $(".products.list.items.product-items.sli_container").children().length; if (itemsCount ? ’Stages’ here means the number of divisions or graphic elements in the slide. For example, if you want a 4 piece puzzle slide, you can search for the word ‘puzzles’ and then select 4 ‘Stages’ here. We have categorized all our content according to the number of ‘Stages’ to make it easier for you to refine the results.

Category reset // require(['jquery'], function ($) { $(document).ready(function () { //removes paginator if items are less than selected items per page var paginator = $("#limiter :selected").text(); var itemsperpage = parseint(paginator); var itemscount = $(".products.list.items.product-items.sli_container").children().length; if (itemscount.

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Data Protection Awareness Training

Data protection awareness training presentation, free google slides theme and powerpoint template.

The impact of this presentation template on an audience will be very high for two reasons. First of all, because of its design. It offers a brutalist style, which seems to rebel against all the rules of graphic design. On the slides, you will find risky compositions, following a collage technique for black and white images and a bit of green for other decorations. So, what's the other reason that will make you stand out? The theme of the template. You can give a workshop on the importance of protecting our data and private information, especially when surfing the Internet. Explain how to do it or present different security measures, all the concepts will be very clear!

Features of this template

  • 100% editable and easy to modify
  • 31 different slides to impress your audience
  • Contains easy-to-edit graphics such as graphs, maps, tables, timelines and mockups
  • Includes 500+ icons and Flaticon’s extension for customizing your slides
  • Designed to be used in Google Slides and Microsoft PowerPoint
  • 16:9 widescreen format suitable for all types of screens
  • Includes information about fonts, colors, and credits of the resources used

How can I use the template?

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2 Ways to Create Comparison Slides in PowerPoint

2 Ways to Create Comparison Slides in PowerPoint

Table of Contents

Do your PowerPoint slides look dull and flat when making comparisons? Crafting compelling and informative comparison slides is crucial to differentiate your ideas, products, or services from competitors.

With the right layouts and techniques, you can create beautiful and engaging comparison slides to wow any audience. An effective comparison slide can help highlight unique attributes and make analytical points clearer for your audience.

But that doesn’t mean you need to know design. All you need is the PowerPoint comparison slide feature. In this beginner’s guide, we’ll walk you through two simple ways to create clean and professional comparison slides in PowerPoint. Let’s get started!

What Is A Comparison Slide In Powerpoint?

Comparison slides enable visually contrasting two or more elements side-by-side within a single slide. Rather than walls of text, comparisons are structured into columns to showcase data, features, and factors together.

Comparison slides allow presenters to evaluate two or more objects, concepts, solutions, etc. side-by-side within a single PowerPoint slide. They help organize similarities and differences visually through text, data, images, and other multimedia formats.

These slides are highly effective for:

  • Comparing products by features to highlight competitive advantages .
  • Analyzing research results through digestible side-by-side data.
  • Weighing the pros and cons of solutions for clearer decision-making.
  • Drawing comparisons between disparate topics to reveal relationships.
  • Emphasizing differences and aligning similarities for convincing arguments.
  • Adding visual variety to text-heavy slides for sustained interest.

Overall, PowerPoint comparison slides structure complex information in an easy-to-grasp format. Audiences can absorb logical comparisons at a glance. This drives home your point and influences understanding and decisions.

What Is The Purpose Of The Comparison Slide Layout?

Here are some top reasons why incorporating comparison slides into your PowerPoint presentations can be effective:

  • Simplifying complex data like statistical analyses, technical specifications, etc. into easy-to-grasp components.
  • Influencing purchase decisions by using comparison to highlight competitive advantages over alternatives.
  • Visualizing connections between disparate concepts or products to enhance understanding.
  • Underscoring key differences between solutions through targeted side-by-side analysis.
  • Holding the audience’s attention by incorporating graphical and visually engaging comparison layouts.
  • Enhancing memorability as comparisons helps reinforce core points and differences.

How To Make A Comparison Slide In Powerpoint?

There are two easy ways to design effective comparison slides in PowerPoint.

Create Using Built-in Comparison Layout

The easiest way is to use PowerPoint’s pre-designed “Comparison” layout template. Here’s how to do it.

Step 1: Go to the “Home” tab and click on “New Slide”

Go to the “Home” tab and click on “New Slide”

Step 2: Go to the “Layout” and select the “Comparison” template or layout from the options. The content placeholder will be split into two default columns for your data.

layout from the options

Step 4: Add and customize your desired titles, subtitles, text, images, etc. You can use a text block to add your text. Use bullet points to make your text clean. Adjust column widths if needed. You can add colors, borders, etc. for emphasis.

Add and customize your desired titles, subtitles, text, images, etc

How Do You Insert A Comparison Table In PPT?

Do you have some statistics and other data that you would like to present? You can insert a comparison table in PowerPoint with the desired number of columns and rows. This method works well if you have lots of detailed data to compare side-by-side. 

Here’s how to add it:

Step 1: Go to the “Insert” menu and click on “Table”.

Go to the “Insert” menu and click on “Table”

Step 2: Under “Insert Table”, pick the number of columns and rows.

Under “Insert Table”, pick the number of columns and rows

Step 3: Populate the cells with your comparison data – be it text, numbers, checkmarks, or even emojis! Be creative.

Populate the cells with your comparison data

Step 4: Apply colors, borders, and shading to organize the content. You can further modify the table properties to merge cells, alter the design, include total rows or columns, apply cell borders and styles, etc.

Take Your Presentation Skills to the Next Level with SlidesAI

Creating compelling and professional PowerPoint comparison slides is crucial for driving home your main points during presentations. With these tips, you can develop beautiful and effective comparison slides that wow your audiences.

However, creating an entire visually stunning presentation doesn’t have to be difficult or time-consuming. With SlidesAI, you can instantly turn your ideas into professional, on-brand slides using AI.

SlidesAI is a revolutionary AI text-to-presentation tool that generates high-quality slides for you in just seconds. Simply add your content and let SlidesAI handle the design, formatting, and layout. You’ll get visually consistent slides tailored to your brand needs and presentation goals.

Stop spending hours building presentations. Sign up for SlidesAI today to save a huge time while creating presentation decks that leave lasting impressions. Try out the AI-powered presentation tool and take your skills to the next level!

Save Time and Effortlessly Create Presentations with SlidesAI

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Get started with Microsoft Copilot with Graph-grounded chat in Microsoft Teams

Copilot works alongside you to bring together data from your documents, presentations, email, calendar, notes, and contacts in Microsoft Teams. Find and use info that's buried in documents or lost in conversations, and get things done in whole new ways using the power of AI.

Copilot chat experience

Go to  Apps on the left side of Teams.

In the search bar, type "Copilot".

Locate  M356 Chat  and select Add . This will add Copilot as a chat in your Teams chat list.

Select Chat  on the left side of Teams and find the  M365 Chat  that was just added.

In the Copilot chat, type your prompt. For example, "Summarize my recent unread messages from [a person]."

Select Send .

Once Copilot generates a response, select the sources to understand how the response was cited. AI-generated content may be incorrect, so sources are provided for your review when possible.

Tip:  If you don’t know where to start or don’t have a task in mind, try out one of the suggested ideas under Summarize , Create , or Ask .

Here are some suggestions for prompts you might want to try. Copy them or modify them to suit your needs.

What happened in my last meeting?

Catch up on unread chats.

Draft a message that OKRs are due next week.

Tell my team how we updated the product strategy.

Summarize the chats, emails, and documents about the [a customer] escalation that happened last night.

What is the next milestone on [a project]. Are there any risks? Help me brainstorm a list of some potential mitigations.

Write a planning overview in the style of [a file] that contains the timeline from [a different file] and incorporates the project list in the email from [a person]. 

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Microsoft Power BI Blog

Power bi february 2024 feature summary.

Headshot of article author Saveen Reddy

Welcome to the Power BI February 2024 update. We’ve got a lot of great features this month. Here are some key highlights:

  • Visual calculations make it easier than ever to do calculations that were very hard or even impossible.
  • The Power BI home provides a centralized location for all your Power BI desktop activities.
  • Fabric Copilot for Power BI can now add measure descriptions to your semantic model measures.
  • The Power BI add in now supports shareable links to make it easier for people to consume reports.
  • The new Explore feature gives you a better understanding of what’s in the data you’re exploring.

Fabric Community Conference

Join us at the Microsoft Fabric Community Conference the ultimate Microsoft Data & AI learning event, on March 26-28, 2024, at the MGM Grand, Las Vegas. With over 150 sessions for everyone who works with Power BI, Microsoft Fabric, SQL, Azure AI, and Purview , the conference promises a rich learning experience.

This is a unique opportunity to meet the Microsoft product teams building these technologies, the customers betting their businesses on them, and the partners that are at the forefront of deployment and adoption. Engage with this vibrant community, learn from their real-world experiences, stay abreast of the latest developments.

Please note that this event is in-person only. Sessions will not be recorded, streamed or made available for on-demand consumption.

Register today using code MSCUST for an exclusive discount ! Need help convincing your boss to attend? No problem!  Use this letter  to share with your boss about this unforgettable opportunity.

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  • Version number: v: 2.126.927.0
  • Date published: 02/16/2024

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On-object Interaction Updates

  • Enhanced Reference Layer in Power BI Azure Maps Visual 

Data connectivity

Certified connectors updates, storytelling in powerpoint – replace report urls with shareable links in power bi add-in, data overview in explore, directquery connections update, shared device mode is now ga, power bi custom visuals new local storage api, on-object interaction support for custom visuals, tmdl in power bi desktop developer mode, editor’s pick of the quarter, new visuals in appsource, multiple sparklines, rose donut pie chart by powerviz, xviz gantt chart by lumel, control chart xmr by nova silva, drill down graph pro, more users can now collaborate with protected pbix in power bi desktop.

Visual calculations 

A new way of doing calculations has arrived! You can now add calculations directly on your visual using visual calculations, which are DAX calculations that are defined and executed directly on a visual. A calculation can refer to any data in the visual, including columns, measures, or other visual calculations. This approach removes the complexity of the semantic model and simplifies the process of writing DAX. You can use visual calculations to complete common business calculations such as running sums or moving averages. Visual calculations make it easy to do calculations that were previously very hard or even almost impossible to do.

To use visual calculations while in preview, you need to enable it in Options and Settings  ➡️  Options  ➡️  Preview features . Select visual calculations and select OK . Visual calculations will be enabled after Desktop is restarted.

To add a visual calculation, you first need to select a visual. Next, select the New calculation button in the ribbon:

The new calculation button is shown on the Home tab of the ribbon in Power BI Desktop in the Calculations group.

To add a visual calculation, type the expression in the formula bar in the visual calculations edit mode that opens. For example, in a visual that contains Sales Amount and Total Product Cost by Fiscal Year , you can add a visual calculation that calculates the profit for each year by simply typing: Profit = [Sales Amount] – [Total Product Cost].

The visual matrix is updated as you add visual calculations using in the formula bar. New visual calculations are added as columns to the visual matrix.

Additionally, you can easily add a running sum of profit by writing:

Here is a visual with the two visual calculations we have just created:

A screenshot of a graph Description automatically generated

You can use many existing DAX functions in visual calculations. Functions specific to visual calculations are also available, such as RUNNINGSUM , PREVIOUS and MOVINGAVERAGE . Using these and other functions, visual calculations are much easier to read, write and maintain than the current DAX required.

We are only just getting started with this preview. There is a lot more that we have planned, so please stay tuned for updates in future releases. However, we invite you to jump in now!

For more information, read the dedicated blog post and documentation . Please try the preview today and let us know what you think .

Dynamic subscriptions for Power BI reports

Dynamic per recipient subscriptions is now available in Preview for Power BI reports! Like dynamic subscriptions for paginated reports , you can now distribute a personalized copy of a Power BI report to each recipient of an email subscription.

Imagine you have a report that includes sales data for your entire team. You want to schedule an email subscription that sends out a PDF copy of this report to each salesperson on a weekly basis, with the report filtered to only show their sales results.

This can now be done by connecting to a semantic model (previously Power BI dataset) that defines the mapping between recipients and respective filter values. When it’s time to send out the report, the latest data available in your semantic model will determine which employees should receive a report in their inbox, and with what filter values applied.

A screenshot of a computer New dynamic subscription, select and filter data.

See the documentation for dynamic subscriptions here.

This February release we added multi-visual container format support ! Previously, when multi-selecting across different visual types, the format pane did not support any options for formatting the visuals. Now, when multi-selecting different visuals, we’ve added formatting support for container formatting such as changing the size, background color, adding a shadow or turning on/off titles in bulk.

When multi-selecting different visual types (e.g. a line chart and bar chart):

A screenshot of a graph, Visualizations. Order Quantity by Year, Sales by Category.

We’ve also added the ability to format a visual’s container size and position even if it’s empty:

A screenshot of a graph, Visualizations. Select or drag fields to populate the visual.

This month we also bring you a handful of quality improvements to the on-object experience:

  • Bug fix : when working with a non-visual (text box, button, image, shape) the build pane accidentally closing automatically. The build pane now stays open unless explicitly closed regardless of selected item type.
  • Bug fix : style bug where the build pane was showing 5 icons across instead of the usual 6 has been fixed.
  • Bug fix : in some cases, the data flyout was extending beyond the window size making the search box hard to use, this has now been fixed.
  • Enhancement : When choosing a field using the data flyout – you can now click anywhere on the name, not just the checkbox next to it to select the field.

A screenshot of a computer, Data selecting Order Quantity.

5.Enhancement : If replacing a field in a visual that does not use an aggregation or date hierarchy (other dropdowns are disabled), we auto open the data dropdown to save an extra click.

A screenshot of a graph, Data selecting Category.

Power BI Home in Desktop is Enabled by Default  

We are excited to announce the new and improved Power BI Home as the default experience! The Power BI Home has been redesigned to provide a centralized and familiar location for all your Power BI activities within the desktop application. Our aim is to enhance your productivity and make it easier to discover and consume content.

With Power BI Home, you no longer need to navigate through multiple menus or tabs to access your files and reports. This intuitive interface serves as a hub, like other popular office products, where you can effortlessly manage your reports, all from a single location.

Whether you’re a seasoned Power BI user or new to the platform, Power BI Home ensures a consistent and seamless experience across all your Power BI activities.

Now, you can:

  • Initiate a new report directly from the new home screen.
  • Access reports from recommendations that we have curated.
  • Locate your most recent reports through the Quick Access lists.

A screenshot of a computer abilities within the new home screen.

Please continue to submit your feedback directly in the comments of this blog post or in our feedback forum .

Enhanced Reference Layer in Power BI Azure Maps Visual

We’re excited to introduce a significant enhancement to the Power BI Azure Maps visual reference layer feature. In response to valuable user feedback and in alignment with evolving industry standards, we have expanded the capabilities of the reference layer. Now, in addition to supporting the existing GeoJSON format, users can also utilize KML (Keyhole Markup Language) and WKT (Well-Known Text) formats.

We’re also adding URL as a data source alongside file upload. This addition offers users even more flexibility and convenience in importing spatial data into Power BI. Whether your data resides in GeoJSON, KML, WKT, or through a URL link, the Power BI Azure Maps visual seamlessly integrates these formats, ensuring a comprehensive and versatile geospatial analysis experience.

Measure descriptions with Copilot

Add descriptions to your semantic model measures with Fabric Copilot for Power BI! People building reports from your semantic model can see the name and description of your measures, making the description property essential documentation. And Fabric Copilot is here to help!

A screenshot of a computer Description automatically generated

Streamline your semantic model documentation by creating measure descriptions with Copilot .

1. Click on the model measure in the Data pane of Model view to see the measure properties .

2. Click on the Create with Copilot (preview) button under the Description textbox.

3. Review the measure description from Copilot, then click Keep it .

4. Now the measure description is in the Description box. Fine tune the description, as needed.

5. You update the measure later? No worries, just click the button again when you need the description updated!

Try this out today and let us know what you think! Get started today by turning on this public preview feature in Options > Preview features and learning more about how to get access to Fabric Copilot for Power BI on your tenant at https://learn.microsoft.com/power-bi/create-reports/copilot-introduction#copilot-requirements .

DAX query view improvements  

We released the public preview of DAX query view in November 2023, and in this release, we made the following improvements:

A screenshot of a computer, Boolean values are now showing in the Results grid.

  • A share feedback link has been added in Options > Preview features. We would love to hear your feedback on DAX query view!
  • A bug causing active query tab to stop being highlighted is fixed.
  • A bug with close brackets of a nested IFs DAX formula is fixed.

And we have released additional INFO DAX functions.

  • INFO.CHANGEDPROPERTIES()
  • INFO.EXCLUDEDARTIFACTS()
  • INFO.FUNCTIONS()
  • INFO.LINGUISTICMETADATA()

A screenshot of a computer, we have released additional INFO DAX functions.

Learn more about DAX query view at https://learn.microsoft.com/en-us/power-bi/transform-model/dax-query-view .

SingleStore, we’re thrilled to inform you that our connector has now officially moved out of beta. We want to express our gratitude for your valuable feedback and for being an essential part of our beta journey. Your insights have played a crucial role in shaping the enhancements we’ve made.

This upgrade comes with an exciting new feature – you can now cancel running queries, hassle-free. No more queries running in the background after you refresh the UI/visual or navigate across the pages in the report.

Our team is dedicated to continuously improving and adding even more useful features to enhance your experience. Thank you for your ongoing support, and we can’t wait to continue providing you with top-notch features that elevate your data connectivity and reporting capabilities.

When you add the Power BI add-in to a presentation, you can pick a report suggested to you or paste a link to a specific report.

When you paste a standard report link (the URL copied from the browser address bar), and if sharable links are enabled for your organization and allowed for this report, you have re-share permissions to this report, Power BI add-in can replace the link you pasted with shareable link. In that case you will see a checkbox added below the report URL that offers you automatic access to this report. Just mark this checkbox and Power BI add-in will create a shareable link for you.

Using a sharable link ensures that other users viewing the presentation have the required permission to see the report, and do not need to request access when viewing the presentation.

A screenshot of a computer, Using a sharable link ensures that other users viewing the presentation have the required permission to see the report, and do not need to request access when viewing the presentation.

Have you tried out the new Explore feature yet? This month we added a data overview feature to Explore that allows you to get the “gist” of what your data is all about. Powered by Copilot, data overview gives you a summary of what’s contained in the data you’re exploring and highlights some interesting tidbits to get you started. Let us know what you think!

A screenshot of a computer, Powered by Copilot, data overview gives you a summary of what’s contained in the data you’re exploring and highlights some interesting tidbits to get you started.

Maximum connections per data source  is a setting to configure the maximum number of connections DirectQuery opens for each underlying data source. This controls the maximum number of queries that can be executed concurrently against each data source and is configurable per semantic model.

We recently updated the upper limit of the number of concurrent Direct Query connections allowed per semantic model. The updated limits for each SKU are listed in the table below.

The upper limit for Power BI PPU is 100 active connections. Note that there is no change to the Power BI Pro and Report Server limits and the default maximum value remains as 10 concurrent connections.

Introduced last September, shared device mode is now generally available! With shared device mode, organizations can safely deploy the Power BI mobile app across their pool of shared devices.  Check it out !

This API allows Custom Visuals to store data directly in the local browser. Data stored locally is more secure and improves the performance of web apps. The API will be controlled by a global admin setting. Learn more about the API.

Our February release introduces the support of the new on-object interaction. This enhancement allows users to build and customize visuals directly on the visual in Power BI Desktop. It puts common actions for creating and formatting visuals on the visuals themselves, actions such as adding fields, changing visualization types, and formatting text.

The primary objective of Power BI Desktop developer mode is to provide friendly source control and co-development experience. With this objective in mind, you can now save your Power BI Project files (PBIP) using  Tabular Model Definition Language (TMDL)  format. TMDL has been designed from the ground up to be human-friendly, facilitating not only readability but also easy editing in any text editor. This represents a substantial enhancement for source control and collaborative development experiences, particularly when dealing with complex file diffs.  

Saving as a PBIP using TMDL is currently in preview. Before giving it a try, you must first enable this feature in Preview features: go to  File  >  Options and settings  >  Options  >  Preview features  and check the box next to “Store semantic model using TMDL format”.  

After enabling the preview feature, when saving as PBIP, your semantic model will be saved as a TMDL folder named “\definition” with separate files for each table, perspective, role, culture:  

After enabling the preview feature, when saving as PBIP, your semantic model will be saved as a TMDL folder named “\definition” with separate files for each table, perspective, role, culture: 

You can also upgrade existent PBIP files to TMDL , by just opening them and choosing “Upgrade” when you save:  

You can also upgrade existent PBIP files to TMDL, by just opening them and choosing “Upgrade” when you save: 

By default, Fabric Git Integration will still use Tabular Model Scripting Language (TMSL) to export the semantic model during the Public Preview. However, if the semantic model is imported into Fabric using TMDL, then Fabric Git Integration will export the definition into Git using TMDL in the event of any semantic model changes in the service.  

Learn more about TMDL in Power BI Project files  here .  

Visualizations

  • Inforiver Analytics+ (Charts+Cards+Tables)
  • Inforiver Premium Matrix / Table
  • Drill Down Donut PRO (Filter) by ZoomCharts
  • Date Picker
  • Enlighten Aquarium
  • Deneb: Declarative Visualization in Power BI
  • Comment – Dynamics 365 Finance business performance planning
  • Reporting – Dynamics 365 Finance business performance planning
  • Variance – Dynamics 365 Finance business performance planning
  • Matrix planning – Dynamics 365 Finance business performance planning
  • Copy – Dynamics 365 Finance business performance planning
  • Table edit – Dynamics 365 Finance business performance planning
  • Graphical planning – Dynamics 365 Finance business performance planning
  • Waterfall-Visual-Extended
  • Processifier Process Mining
  • flashbi fantail
  • Map by Squillion
  • Charticulator Visual Community (View)

New features were added to Multiple Sparklines on Oct 23

  • When you double click a line chart, it will zoom in to screen size of visual and you can then compare it with any other line chart in that column.
  • You can use different colors for each line chart in a field/column.
  • You can insert ratings with bands.
  • You can add beeswarm / distribution microchart.

A screenshot of a graph New features were added to Multiple Sparklines on Oct 23

Once you double click the line chart, it zooms in to the visual size. You can then compare it with another line chart in the same column. This is shown below:

A graph with purple lines Once you double click the line chart, it zooms in to the visual size. You can then compare it with another line chart in the same column.

Download this visual from APPSOURCE

For more information visit https://www.excelnaccess.com/sparklines/

or contact [email protected]

Rose/Donut/Pie Chart is a powerful visual that lets you build four types of charts – a rose, a rose donut, a donut, and a pie chart. These chart types are commonly used to display part-to-whole relationships, proportions of categorical data, and ratios. Each arc represents the ratio from the total for easy comparison.

Key Features:

  • Chart Options: Rose, donut, pie charts with style customization.
  • Data Colors: Choose from 30+ palettes, including color-blind mode.
  • Fill Patterns: Apply patterns or use custom images.
  • Smart Labels: Improve readability with data and leaf labels.
  • Arc Customization: Easily adjust arc radius, padding, and stroke.
  • Ranking: Filter Top/Bottom N, show others intelligently.
  • Center Circle: Multiple layers, text, icons, and images in the center.
  • Mouseover Text: Display dynamic details when hovering over arcs.
  • Image Labels: Integrate dynamic image URLs for enhanced visuals.
  • Conditional Formatting: Detect outliers and set smart rules for measures/categories.

Other features included are annotation, grid view, show condition, and accessibility support.

Business Use Cases: Finance, Healthcare, E-commerce, Education, Customer Demographics

🔗 Try Rose/Donut/Pie Chart for FREE from AppSource

📊 Check out all features of the visual: Demo file

📃 Step-by-step instructions: Documentation

💡 YouTube Video: Video Link

📍 Learn more about visuals: https://powerviz.ai/

✅ Follow Powerviz : https://lnkd.in/gN_9Sa6U

A screenshot of a chart Rose/Donut/Pie Chart is a powerful visual that lets you build four types of charts - a rose, a rose donut, a donut, and a pie chart. These chart types are commonly used to display part-to-whole relationships, proportions of categorical data, and ratios. Each arc represents the ratio from the total for easy comparison.

xViz Gantt Chart by Lumel is a Microsoft Power BI Certified Visual. As the most feature rich Gantt in Power BI – it is widely used across most Fortune 500 companies world-wide.

Why Large Enterprises Choose xViz Gantt Chart:

Real-time Alerts for Project Managers: Leverage Conditional Formatting to receive color-coded alerts and status flags, ensuring timely awareness of schedule delays or progress issues.

Visualize Task Dependencies: Easily identify causes of delays with the ability to plot task dependencies using connectors within the roadmap view.

Adaptable for Different Users: From Stakeholders tracking yearly progress to Project Managers analysing monthly views and Developers scrutinizing smaller time grains with flexibility across three distinct timeline levels.

Strategic Planning with Reference Lines and Ranges: Utilize Reference Lines and Ranges to mark crucial dates, holidays, sprints, or deadlines across projects.

Customization Galore:   Wide range of customizable options, including adjustable timeline limits, selectable week start days, and indentation customization for ragged hierarchies.

Hassle-Free Licensing:   The visual is free for use in Power BI Desktop. For sharing & collaborating on Power BI service, the licenses can be purchased directly from Microsoft AppSource.

A screenshot of a computer

Try xViz Gantt Chart today after watching the 2-minute video highlights.

Years ago, Stacey Barr introduced us to the magic of Control Charts. Magic it is, because it allows everyone to split their temporal data in two: random noise and real signals. And we all are looking for real signals, and don’t want to be distracted by random noise.

In our last release of the Control Chart XmR we have added several new features to make it even easier to find real signals and ignore random noise in your data.

First, we added a feature to allow any report consumer to override the applied rules. This allows everyone to analyze the effects of one specific rule or set of rules.

A screenshot of a computer First, we added a feature to allow any report consumer to override the applied rules. This allows everyone to analyze the effects of one specific rule or set of rules.

Several customers asked for a possibility to download the calculated values from the visual. Now you can download all values calculated by the Control Chart XmR, like: LCL, CL, UCL, sigmas and signals.

Don’t hesitate and try the new Control Chart XmR now on your own data by downloading it from the AppSource . All features are available for free to evaluate this visual within Power BI Desktop.

Questions or remarks? Visit us at: https://visuals.novasilva.com/ .

Drill Down Graph PRO lets you create elegant and user-friendly graphs to represent complex relationships between nodes. It’s ideal for both small and large network graphs and offers advanced features like cross-chart filtering and vast customization options. You can create hierarchies and explore them using this visual’s intuitive interactions.

Main features include:

  • Multiple layout options – dynamic, hierarchical, and radial
  • Focus nodes mode – for gradual exploration of graphs.
  • Customization options – choose colors, shapes, images, and labels.
  • Bidirectional links – show reciprocal relationships between nodes.
  • Touch device support – explore your data anywhere.

Popular use cases:

  • IT – asset management, IT infrastructure, IoT monitoring
  • Logistics – fleet management, stock management, parcel tracking
  • Sales & Marketing – community detection, account management, web analytics

ZoomCharts Drill Down Visuals are known for interactive drilldowns, smooth animations, and rich customization options. They support interactions, selections, custom and native tooltips, filtering, bookmarks, and context menu. Use them to create visually appealing and intuitive reports that business users will love on any device.

Get Drill Down Graph PRO from AppSource!

Learn more about Drill Down Graph PRO by ZoomCharts.

A screenshot of a computer ZoomCharts Drill Down Visuals are known for interactive drilldowns, smooth animations, and rich customization options. They support interactions, selections, custom and native tooltips, filtering, bookmarks, and context menu. Use them to create visually appealing and intuitive reports that business users will love on any device.

Have you ever wondered how to collaborate with your colleagues on sensitive data without compromising its security? Do you want to learn how to use Microsoft Purview Information Protection sensitivity labels to protect your data ?

If so, you’re in the right place! We’ll show you how to use sensitivity labels with protection to encrypt and protect your data, and how to enable more users to edit and republish encrypted PBIX files. By the end of this article, you’ll be able to collaborate more securely with your data in Power BI.

Protecting your data with Microsoft Purview

Compliance admins in your organization can use Microsoft Purview Information Protection  sensitivity labels  to manage their org’s sensitive data across different apps and services and meet regulatory and compliance requirements.

They define file protection policies for the sensitivity labels, which result in files being encrypted when such labels are applied, allowing only authorized users to open and edit these files in Office apps and Power BI Desktop.

Sensitivity labels are widely adopted by enterprises today and used to label and protect content in  Microsoft 365  apps such as Excel, PowerPoint, Word, and Outlook, and now in Power BI and Fabric as well.

All you have to do is enable Information Protection in Microsoft Fabric’s Admin Portal and let the labels do the rest.

A screenshot of a computer All you have to do is enable Information Protection in Microsoft Fabric’s Admin Portal and let the labels do the rest.

How Power BI Desktop enforces sensitivity label protection

In Power BI Desktop , we enforce label protection on PBIX files. To open a PBIX file, you either must be the label issuer or have one of the following usage rights .

These usage rights are elevated permissions, as they grant permission to change the sensitivity label. Because Power BI and Office apps use the same label policies, compliance admins may prefer not to grant these usage rights for Highly confidential labels. This might block you from collaborating with your colleagues when you’re sharing or downloading Power BI reports and trying to open them in the desktop app.

Collaborating and keeping label protection on PBIX files

By enabling “ Increase the number of users who can edit and republish encrypted PBIX files (preview) ” in your tenant, users that have been assigned with all of the following usage rights should be able to open, edit, and republish the protected PBIX file to the Power BI service:

  • View Content (VIEW)
  • Edit Content (DOCEDIT)
  • Save (EDIT)
  • Copy and extract content (EXTRACT)
  • Allow Macros (OBJMODEL)

Thus, users who were once restricted can now collaborate with protected files, while keeping protection consistent with the organizational policy.

Note: These usage rights are a sub-set of the “Co-Author” permissions preset in Microsoft Purview compliance center.

What are the restrictions and why?

In order to align with compliance requirements, users with these usage rights are lightly restricted while editing a protected PBIX file.

No exporting to unsupported formats –The user won’t be able to export to formats that don’t support sensitivity labels, such as CSV files.

A screenshot of a computer In order to align with compliance requirements, users with these usage rights are lightly restricted while editing a protected PBIX file. No exporting to unsupported formats –The user won’t be able to export to formats that don’t support sensitivity labels, such as CSV files.

No label change – The user can’t change the label on the PBIX file.

A screenshot of a computer No label change - The user can't change the label on the PBIX file.

Republishing to the original workspace only

Republishing to the original workspace only

Why restrict republishing into the original workspace only?

To remain compliant, we must keep users from gaining more permissions, including Power BI permissions (i.e., Read, Write, Reshare and Build). Meaning that a user who wishes to publish should not be able to publish to a workspace that might grant them additional permissions through Workspace roles.

Additionally, this feature is meant for collaborating and sharing items that are more restricted than usual, and confidential data is usually managed in a dedicated workspace. This restriction will prevent users from publishing confidential data across the tenant.

Side note: The file must be published at least once for other users to be able to republish it to that specific workspace. If the file has not yet been published, then the latest label issuer (the one who set the protected label) or a user with sufficient usage rights must publish it and then share the file with the other editors.

How to enable it

Prerequisite: The compliance admin must assign you and your colleagues the proper permissions for that sensitivity label.

Next, Fabric/Power BI admins must enable the feature in Admin Portal > Information protection > Increase the number of users who can edit and republish encrypted PBIX files (preview).

In Power BI Desktop, users who would like to open and edit protected PBIX files must enable the feature by opening File > Options and settings > Options > Preview feature > Less elevated user support.

Final words

With this new feature, users can now collaborate more easily with other users when working on confidential data in Power BI Desktop, without any loss of protection along the way.

That is all for this month! Please continue sending us your feedback and do not forget to vote for other features that you would like to see in Power BI! We hope that you enjoy the update! If you installed Power BI Desktop from the Microsoft Store,  please leave us a review .

Also, don’t forget to vote on your favorite feature this month on our community website. 

As always, keep voting on  Ideas  to help us determine what to build next. We are looking forward to hearing from you!

  • Microsoft Fabric
  • visual calculations

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