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Blog Data Visualization 10 Data Presentation Examples For Strategic Communication
10 Data Presentation Examples For Strategic Communication
Written by: Krystle Wong Sep 28, 2023
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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:
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.
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.
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.
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.
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.
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.
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.
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.
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.
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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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 with AI 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
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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Present Your Data Like a Pro
- Joel Schwartzberg
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.
- 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
Leah Nguyen • 05 Apr 2024 • 11 min read
There are different ways of presenting data, so which one is suited you the most? 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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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.
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%.
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.
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:
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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 , online quiz and Q&A sections , combined with icebreaker games , 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.
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.
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
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.
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. You should set your session with open-ended questions , to avoid dead-communication!
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👇
What is chart presentation?
A chart presentation is a way of presenting data or information using visual aids such as charts, graphs, and diagrams. The purpose of a chart presentation is to make complex information more accessible and understandable for the audience.
When can I use charts for presentation?
Charts can be used to compare data, show trends over time, highlight patterns, and simplify complex information.
Why should use charts for presentation?
You should use charts to ensure your contents and visual look clean, as they are the visual representative, provide clarity, simplicity, comparison, contrast and super time-saving!
What are the 4 graphical methods of presenting data?
Histogram, Smoothed frequency graph, Pie diagram or Pie chart, Cumulative or ogive frequency graph, and Frequency Polygon.
Leah Nguyen
Words that convert, stories that stick. I turn complex ideas into engaging narratives - helping audiences learn, remember, and take action.
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Top 10 Data Presentation Templates with Samples and Examples
Data presentations play a crucial role in decision-making in today's data-rich environment, influencing sectors such as boardrooms, classrooms, marketing strategies, and scientific advancements. Yet, in a vast spectrum of data presentations, the question is, can data presentations communicate, engage, educate, and convince?
The answer is yes. Data presentations go beyond mere numbers on a page, revealing insights, guiding decisions, and shaping action plans in every segment. Now, the challenge is, in a world full of information, how can we make sure that the data presentations you prepare captivate your audiences and motivate them to take action?
Since presenting data by accommodating a sheer volume of information can be stressful. But now you do not have to be stressed about it. SlideTeam Data Presentation Templates perfectly solves all your presentation challenges by connecting raw data with visual narratives, offering intuitive design and user-friendly features for better comprehension of complex data. The complete editable features help you to deal with formatting issues in a simplified manner. Our Templates offer a seamless experience, enabling you to concentrate on delivering presentations that inform, engage, and inspire your audience.
Keep reading to learn more about our exceptional templates, which will transform the way you present your information.
Also, look at our blog on Database Diagram Templates to organize your data effectively.
Template 1: Data Governance PPT Set
Data governance has evolved as a critical component of modern enterprises seeking efficiency and compliance. This Slide details why companies struggle without adequate data governance and its repercussions. It provides a detailed comparison of human versus automated data governance approaches, outlining their merits for optimizing procedures and ensuring data integrity. In addition, you will find efficient data governance architecture to manage assets effectively. This PPT is designed to engage the audience while outlining the roles and responsibilities required for effective data governance implementation.
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Template 2: Data Analytics Powerpoint Presentation Slides
This PPT Slide provides social media platforms such as Google, Facebook, Twitter, YouTube, and Instagram, which serve as critical sources of data for analysis and insight development. Moreover, it demonstrates cloud computing's disruptive potential, real-time information, and on-demand insights using cloud infrastructure. It delves deeper into the complexities of data analytics , including web data, IoT devices, and databases. Moreover, it provides a thorough overview of data analytics technologies, ranging from warehouse appliances and big data sources to network monitoring technologies and in-line monitoring solutions. Download today.
Template 3: Data Migration Strategies Powerpoint Presentation Slides
This PPT Slide addresses every aspect of data migration strategies for your business and provides a road map for easily navigating its intricacies. It provides an overview for understanding and implementing data transfer plans. From defining our migration strategy to outlining step-by-step process details, it also offers simplified illustrations of data migration procedures accompanied by visually engaging images. Beyond data transfer solutions, it provides an in-depth look at our mission, corporate culture, and team competence. It also includes a four-step workflow architecture to help you plan and execute more efficiently.
Template 4: Talent Acquisition Dashboard of Organization Showing Cost and Open Position Data
This PPT Slide provides a complete picture of critical metrics and data points required to optimize recruitment strategies. It presents a detailed analysis of application sources and sources. Monthly metrics in the slide assist in evaluating progress toward fulfilling recruiting goals and objectives, whereas decline reasons provide insight into areas for improvement, allowing you to optimize processes and improve candidate experiences. Moreover, efficiency indicators provide insight into the effectiveness of your recruitment activities, allowing for targeted adjustment. A recruiting funnel illustrates how candidates advance through each stage, which aids in identifying bottlenecks and streamlining hiring processes. Furthermore, it includes a pipeline that reveals talent that may be available for current or future openings.
Template 5: Data Stewardship IT PowerPoint Presentation Slides
This PPT Slide introduces data stewardship, including its goals, life cycle overview, framework, and components. Our presentation is an excellent resource for people of all experience and expertise levels. Data Stewardship highlights its importance and benefits by describing its role in ensuring data quality, integrity, and compliance. Data stewardship is critical to driving organizational success across industries, from strengthening decision-making processes to limiting risks. It also investigates data stewards' credentials, abilities, roles, and responsibilities, delivering actionable insights for anyone considering this vital profession. Furthermore, several data stewardship models are included to develop realistic frameworks for successful deployment.
Check out our blog on Demographic Data Presentation Templates to learn more.
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Template 6: Monthly and Annual Sales Data with MQL and SQL
This PPT Slide includes monthly and annual sales data with MQLs (Marketing Qualified Leads) and SQLs (Sales Qualified Leads). This presentation will provide information on crucial areas such as year, lead source, average deal size, sales cycle time, and opportunity close rates. Our presentations present a detailed analysis of sales data over time and across categories, allowing for informed decision-making and strategic planning. These slides address opportunities, lead sources, and sales KPIs that will be useful to a wide range of stakeholders, including sales managers, marketing professionals, business analysts, and executives. Whether it's analyzing monthly trends, comparing annual results, or evaluating the efficacy of various lead sources, it is a crucial resource for driving sales growth and optimizing marketing strategy.
Template 7: Proper Data Management in Healthcare Company to Reduce Cyber Threats Complete the Deck
This Data management slide can arm your healthcare organization with comprehensive cyber threat mitigation methods and sensitive data security. It covers a wide range of crucial issues necessary for improving cybersecurity posture and meeting regulatory compliance. This deck provides an in-depth analysis of the healthcare organization, including its mission, beliefs, and core strengths. Furthermore, you will find frightening statistics about healthcare cybersecurity breaches around the world, an in-depth assessment of healthcare records exposed globally, cybersecurity issues, and the effects of malware infestations on enterprise records. Quantifying the costs associated with cybersecurity vulnerabilities highlights the importance of proactive risk management.
Template 8: Data Cleaning Powerpoint Ppt Template Bundles
This PPT Slide covers key issues and practices for effective data cleansing across multiple domains. This bundle includes slides that address essential aspects of HR analytics data cleaning, such as the 4-step process and framework methodology, as well as icons meant to demonstrate removal techniques graphically. Moreover, it includes applying data-cleaning strategies and the essential tools and technology required to streamline the process. Download now to revolutionize your data-cleaning efforts!
Template 9: Data architecture strategy PPT slides download
This PPT Slide includes key data strategy components such as statistics, pattern recognition, artificial intelligence, machine learning, data sources, databases, mathematical modeling, management science, and information systems. These slides will help business managers, database administrators, and system engineers show the deep elements of data strategy development. Our executive summary PPT template provides a clear overview of your data architecture plan, making it easy for immediate managers and internal team members to understand. Download now!
Template 10: Data integration big data example of ppt
This PPT Slide shows real-world examples of big data integration, including location data and email communication, web interactions and social media engagements, transactional and sensor data from IoT devices, and organizational and self-service data requests. By displaying all of these data sources together, it highlights their complexity and integration as a source of actionable insights. Furthermore, it also includes Pentaho Data Integration, Pentaho Analyzer, and Pentaho Reports products, providing a comprehensive overview of their capabilities and features. This slide is essential for conveying data integration strategy and best practices to internal and external stakeholders. Download now.
Begin your Path to Data-driven Success with us!
Creating captivating data presentations doesn't have to be a challenging task! SlideTeam offers high-quality data presentation templates with actual samples and examples to help you quickly create engaging visuals for your audience. Whether you're a novice or a seasoned professional, our templates provide the perfect balance of simplicity and professionalism to enhance your presentations! Whether you're a business professional, educator, or aspiring entrepreneur, our high-quality data presentation templates can help your ideas stand out! Don't hesitate - SlideTeam can be your ally in achieving presentation success!
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