Goal : Comparing values number of sessions over time hours across multiple dimensions days. Which pages are our visitors looking at in the afternoon? Goal : Look at the relationship between channels and landing pages to see how the different combinations influence average session duration. How do we get our visitors to become customers? Question : Where do we have opportunities to drive more traffic to high-performing web pages? Goal : Show the relationship between values conversion rates and number of sessions to help pinpoint pages with high conversion rates that could be better promoted.
In this example, the page represented by the upper-left corner dot represents an opportunity to promote a page. This page has an extremely high conversion rate compared to the rest but barely sees any traffic. Try it out for yourself. Take the next data question you encounter and write it out, identify what the goal behind the question is, and use the guidance above to choose the best chart. Which chart you use impacts how people understand your data and what decisions they make based on that understanding.
Happily, you now have some great tools in your pocket to help guide your choices. Choosing the right chart is one part of the bigger story of communicating with data—but the colors you choose and the way you construct a dashboard also matter.
Data Analytics How to choose the best chart or graph for your data. Jill Hardy. Free Trial. We see most visualizations as fulfilling one of four main objectives: Showing how values compare to each other Showing how the data is distributed Showing how the data is composed Showing how values relate to one another The challenge of choosing the right visualization lies in finding the goal beneath your data question.
Outcome : Strawberry sorbet Yum. The same process still works: Question : How much of my income should I save? Composition questions ask what general features are present in the data set. Questions in this category ask how values and attributes relate to each other.
Identifying the goal beneath the question Now you have references to help you choose between chart types. Goal : Compare values number of users over time days Outcome : A line chart. Question : What channels are these new users coming from? Outcome : An area chart. How do you pick the right chart or graph for your data?
What story does your data tell? There are four main types of charts: Source: The Extreme Presentation Method Learn how to use storytelling best practices to create stunning images and powerful presentations that drive audience engagement. Comparison Comparison charts are used to compare one or more datasets. Relationship Relationship charts are used to show a connection or correlation between two or more variables. Composition Composition charts are used to display parts of a whole and change over time.
Distribution Distribution charts are used to show how variables are distributed over time, helping identify outliers and trends. Selecting the right chart type Ask yourself how many variables do you want to show, how many data points you want to display and how you want to scale your axis. Types of Charts Line Charts A line chart reveals trends or change over time. Best practices for creating line charts: Clearly label your axes - Make sure the viewer knows what they are evaluating.
Avoid comparing more than lines - You don't want your chart to become cluttered or hard to read. Visualize the data you need to tell your story, nothing more. Pie Charts The pie chart is one of the most used and hated chart types of all time. Best practices for creating pie charts: Make sure your segments add up to - Sounds obvious, but this is a common mistake.
Avoid using 3-D imagery or tilt your pie chart - This often makes your data impossible to read, because your viewer is trying to quickly compare angles.
Bar Charts and Column Charts Bar and column charts are used to compare different items. Best practices for creating bar and column charts: Start the y-axis at zero - Our eyes are sensitive to the area of bars on a chart.
If those bars are truncated, the viewer might draw the wrong conclusions. Label the axes - Labelling the axes gives your viewer context. Put value labels on bars - This helps to preserve the clean lines of the bar lengths.
Avoid using too many colors "rainbow effect". Using a single color, or varying shades of the same color, is a much better practice. You can highlight one bar in particular if that is the message you want to get across. Treemap Treemaps show parts of a whole.
Best practices for creating a Treemap Start with clean data and a clear message - Treemaps can often involve a lot of data, so it's important to know exactly what you want to highlight. Use bright, contrasting colors so each region is easily de ned - But, remember to avoid the 'rainbow e ect. Label each region appropriately with text or numbers - is makes it easier for the viewer to evaluate your treemap quickly, without error.
Avoid clutter your treemap with too many boxes - Treemaps can contain any number of boxes, but space is limited! You don't want your treemap to be hard to read. Dual Axis Chart With a dual axis chart you are essentially combining multiple charts and adding a second y-axis for comparison. Area Chart Area charts are a lot like line charts, with a few subtle differences.
Best practices for creating Area charts Make it easy to read - Avoid occlusion. Avoid comparing too many datasets. Use instead a line chart, its cleaner. Give the proper context with appropriate labels and legends. Pyramid Chart Pyramid charts triangle chart or triangle diagram are a fun way to visualize foundation based relationships.
Best practices for creating Pyramid Charts Pick a topic and clearly label your subcategories - Decide what information you want to convey with your pyramid and clearly label your layers. Organize your subcategories - Decide the order and value of each section on your pyramid.
Organize the subcategories based on their hierarchy. Be consistent - Keep the spacing of your sections even and pick a pleasing color palette. Word Cloud Word clouds also known as tag clouds are a type of weighted list. Best practices for creating a Word Cloud Provide context - Word clouds are visually eye-catching and provide information about frequency but they often don't give the viewer any context.
Watch your word length - Longer words take up more space and can be misleading. Line graphs can also be used to compare changes over the same period of time for more than one group. Pie charts are best to use when you are trying to compare parts of a whole. They do not show changes over time. Bar graphs are used to compare things between different groups or to track changes over time. However, when trying to measure change over time, bar graphs are best when the changes are larger.
Area graphs are very similar to line graphs.
0コメント