It's no secret that data can be very powerful - when you can actually figure out what it is it is telling you.
It 's not easy to get by watching a muelevation of numbers and statistics. You need to present the data in a logical and easy-to-understand way so that you can apply your learnings effectively. This is where data visualization comes into play.
In this article, we will suggest applicable ways to ensure effective visualization of your data and provide inspirational examples along the way.
What is data visualization?
How to view data
Data visualization examples
Bad Data Visualization Examples
Data visualization tools
What is data visualizations?
Data visualization allows you to organize data in a way that is both compelling and easy to digest.
It 's is about representing data in a visual context, such as a graph or map, to help anyone viewing it better understand the importance of that data.
How does data visualization work?
While data shared by text can be confusing (not to say bland), data represented in a visual format can help people extract meaning from that information faster and easier.
Data Visualization allows you to expose patterns, trends and correlations that might otherwise go unnoticed.
Static or Interactive Data Visualization
The data visualization can bere static or interactive. For centuries people have used static data visualization like charts and maps.
Interactive data visualization is a bit newer: it allows people to explore the dirty details of these charts and graphs using their computer and mobile. devices, then interactively change what data they see and how it's processed.
Time Series Visualization
In addition to static and interactive data visualization, you You may also hear the term time series visualization. Time series visualization is what it sounds like: visuals that track data, or performance, over a period of time.
This is important because one of the main reasons people want to focus on visualizing data is to show changes in variables over time.
Examples of time series data visualization
There are many ways to use time series data visualization - you will learn more about these below , but here is a quick list for you give a better understanding of which visuals are considered time series visuals .
- Line graph
- Bar graph
- Graph in areas
- Bulleted chart
Best practices for data visualization
While determining how you are going to visualize your data, one of the first things you will want to do is keep in mind the following best practices.
- C Choose the best visual for your data and its purpose.
- Make sure your data is easily understandable and visible.
- Provide the necessary context for your audience in and around your visual.
- Keep your visual as simple and straightforward as possible .
- Educate your audience with your visuals.
Find out how to apply data visualization best practices in your marketing with this free guide.
How to visualize the data: 10 approaches
- Line graph
- Bar graph
- Graph to scatter plot
- Area chart
- Pivot table
- Bulleted chart
- Box Plot
1. Line graph
Use a line chart to view your data over time to show trends and intervals. You can do this with one or more data points.
2. Bar graph
Use a bar chart to compare groups or categories while showing clear values.
Wondering how could you use that? Suppose you used cast for your content marketing and should indicate which medium works best. You can pull data from dashboard reports to visualize data from key stakeholders.
3. Scatter plot
Use an area chart the same way you would use a line chart.
The difference is that the area below the line is filled color and / or texture with an area chart Area and line charts show the evolution of a value.
Use a map to display geographic data and to show the distribution and proportion of data in specific areas.
Use an indicator if you want to display your data with visuals like a gauge or teleeur that will clearly show which direction things are moving over time. time.
7. Pivot table
Use a pivot table to summarize a large amount of information while specifically highlighting the data most critical to audience members.
Use a bar graph or a graph in the same way you would use a bar graph. The main difference is that a bulleted graph allows you to include more detailed information and data in a way that doesn't look cluttered.
9. Box Plot
Use a box plot to display the distribution of your data: you have a box plot for each attribute you display.
Use a matrix to show relationships between hundreds or thousands of data points, variables and more to understand their interactions in one place.
Ready to get inspired? Let's take a look at some great examples of interactive and static data visualization.
Data visualization examples
Below are 16 examples visualization tool,
Examples of interactive data visualization
Here is an example of a complex dataset summarized in a way that looks like a game. In this visualization, Setosa shows how "bus bundling " occurs, that is, i.e. when a bus is delayed and several buses later arrive at a single stop at the same time.
Telling this story in numbers would be pretty hard - instead, they turn it into a interactive game that makes the data easier to understand. While buses are turning along a route, you can click and hold a button to delay a bus. Then all you have to do is see how even a short delay causes the buses to regroup.
This interactive DensityDesign introduces non-linguists to the many languages of the world. All 2,678 of them.
This part vAllows you to explore common language families, see which languages are spoken the most, and see where languages are spoken around the world.
This is visual narration : take topic in depth and break it down in an easy-to-understand way.
This is an example of presenting a single data set in a convincing way. Pew Research has created an animated GIF composite to show demographic changes over time. It's an effective way to tell a bigger story in neat packaging.
In addition, this type Micro- content is easy to share on social media or embed into blogs, which expands the reach of the content.
If you want to create your own GIF using Photoshop, here is a step-by-step tutorial .
In this interactive visualization below, an "Elo Rating " - a simple measure of strength based on match-by-match results - has been calculated for every match in National Football history League (NFL).
C ' is over 30,000 ratings in total. Viewers can compare each team 's Elo to see how each team has performed over decades of play.
This visual is provided by Google Trends and tracked flights to, from and across the United States on Thanksgiving Eve.
Viewing begins at the very start of the day and plays like a movie over time, showing flights moving around across the country.
Without showing any numbers outside of the time, viewers can see what times were most popular for international flights, domestic flights, and flights to / from different throughout the country.
Already heard a version of the advice, "Don't you contentDon't show that data tells a story with it "? That's exactly what this Bloomberg Business visualization does - and it's the interactive part that moves the story forward from start to finish. Visual refutes the theories that claim that global warming can be explained by natural causes.
The first thing you will see is the observed temperature as it has risen from 1880 to the present day.
Source of the image
As you scroll down the visualization shows you exactly how much different factors are contributing to global warming versus what has been observed, adding a richer layer of storytelling. The conclusion the authors want viewers to draw is very clear.
Here's an example of telling a deeper story by adding data.
The interactive visual allows users to see the number of years each team has competed, as well as the number of championships won. This provides a more complete view of each team 's history and success as a franchise.
Here is a similar visual that shows the wind speed and direction in the United States in time real in 2015.
This is a great example of intu designitive: speed is represented by lines moving slowly or quickly, and direction is represented by how lines move. It's immediately clear what the general trends are without any need for numbers, unless you click on the map itself. Also, limiting the number of variables to two makes it even easier to follow.
Static data visualization examples
This visual shows the data organ ized on a distribution plot - it is an effective visual choice as it allows viewers to see where finds every media on a spectrum.
This is not only an example of engaging data (you can explore schedules by individual activity), but it is also an effective editorial element for a brand.
Echelon Insights created this visual to describe the most discussed news of 2014 on Twitter.
What does 184.5 million tweets look like? Cool spin art!
When you want to illustrate scale, static data visualization can be a great way to get your point across. The infographic below from The Washington Post is insanely long ... and it's on purpose.
In this case, they show how insane a depth is.The sea signal from an airplane can be detected by comparing that depth to tall buildings, the maximum depth of known mammals , the depth of the Titanic wreckage, etc.
This is a great use of simple visuals and color gradients. Finally, adding data to a story (in this case the missing Malaysian airliner) provides the necessary context.
While the above infographic is fairly straightforward, there are ways to create well-designed infographics that provide a large amount of data. The secret? As a simple and clean format that allowsreaders to easily understand the data.
This infographic, created by GOOD Magazine and Column Five, breaks down NASA's five-year budget to show how and where the 'money will be spent.it has a themed design - an all-out victory.
Not all data visualizations need to be animated. When real-world data is visualized with real-life examples, the results can be mind-boggling. The designer of this visual took a unique approach to the data contained in the annual report.
The organization provides support to drug addicts in Austria, Luttenberger therefore focused on communicating the mission through real visuals. For example, this shopping cart visualization represents the amount of basic necessities of life that a welfare recipient can afford each day.
While there are many ways to visualize data, using the topic of information to actually create the data visualization can be quite deep.
This reportannual rt of Austria Solar uses real solar power to bring business data to life through solar power. inks enabled on the page.
The good data visualization examples above are great for benchmarking as you develop your approach. However, it's also important that we take a look at the less efficient ways to visualize the data so that you know what to avoid. Therefore, let's tackle some bad examples next.
Bad examples of data visualization
There are many ways that data visualization can go wrong.
For example, look at this example of data visualization of MLS salaries in 2013 . The amount of information on this graph makes it difficult to read.
Additionally, the variable scale forces audience members to zoom in significantly to read the data. Some of the boxes used to represent the data appear to be vertical while most are horizontal. It also makes reading the information confusing.
When you include a number of completely different variables within a single visual, it also becomes difficult for audience members to understand - the following table is one of them. example.
Another thing you'll want to do is make sure that you don't make your visual more complicated than it should be. For example, this graphic has a number of variables which are represented by 3D bars. This graph does not need to be 3D - in fact, it just makes the information more difficult to understand and visualize.
Finally, let's go over some data visualization tools to simplify this process.
Data visualization tools
There are a number of data visualization resources availables today, but the following list is here to get you started. Don 't be afraid to experiment with a few options to determine which one is best for your needs (and your data).
offers multiple viewing options data , especially in Reports . You can create graphs and tables in several ways depending on yours preferences.
There is also a Dashboard and Reporting Add-on which can facilitate the data visualization process. Finally, allows you to manage your data and dashboards , as well as customize them , in a way that suits your specific needs.
2. Tableau Desktop
Tableau Desktop's data visualization software offers live analytics with dashboards interactive so that you can easily spot trends, patterns and information.
There are easy-to-use solutions. create maps, indicators and many other visuals, as well as simple analyzes that allow you to derive actionable insights from calculations, baselines and forecasts as a result of your visuals.
Chartio's data visualization tools offer users 15 types of graphics to choose from with multiple variations, and even more options if you know your way serve as data programming languages.
With Chartio, you can collect all your data from places such as Amazon Redshift , browse your data with the Visual SQL Solution , create and manage custom graphics and visuals, and share them easily (via web page, Slack, PDF reports for email, etc.).
Databox provides a number of ways to upload your data and efficiently create visuals to draw conclusions.
There are more than 70 integrations that can help you quickly and easily create visuals with predefined dashboards and reports. You can also create custom metrics. Databox then allows you to connect to Google Sheets orto an SQL database, or you can push it through an API to view and share your data.
5. Google graphics tools
Grow better with data visualization
With data visualization, you will be able to identifyr, discuss and act on ideas in a simpler and more efficient way.
So, take a look at the examples above for inspiration (and as a reference for what to avoid, too!) and experiment with the many tools available to determine what works best for your needs and goals.
Editor's note: this post was originally published in March 2015 and has been updated for completeness.