How much revenue is generated by our top ten customers?. How many people are under-performing in the company?. What types of question can this chart answer? Ranking charts are usually bar charts that integrate rank calculations, top n sets, or key progress indicators. Showing the top ten sales people or demonstrating the under-performing states use a ranking chart. Sometimes you not only want to depict the magnitude of some value, but also the relative ranking of all the members of your dimension. When are the busiest times in our work day?. Which population group buys the most items?. Are events clustered around a certain probability?. 
If you are showing the number of respondents to a survey by age, or the frequency of incoming calls by day, a distribution chart might be the best choice.ĭistribution charts include histograms, population pyramids, Pareto charts, and box plots. When you are trying to find the frequency of events within a population, you are looking at the distribution.
How important are the deviations in this measure?. How far from the norm does this measure stray?. You can also find the statistical significance of the deviation using a Z-score. You can use bullet charts, bar charts, and combination charts to show deviation. If you wanted to know which items had unusually high or low profit margins, you would use a deviation chart. How large of a gap is there between the lowest and highest measure between these dimensions?ĭeviation charts show how far a value varies from some baseline, such as the average or median. Which of these dimension members has the highest measure?. Magnitude charts include bar charts, packed bubble charts, and line charts. If you are comparing sales for different regions, you are looking at magnitude. Magnitude shows the relative size or value of two or more discrete items. How strongly related are these measures?. Are some measures more related than others?. Are these two measures related? How strongly?. (But remember, correlation does not always equal causation.)Ĭorrelation can be shown with scatter plots or highlight tables, and you can use Tableau's analytics objects (Link opens in a new window) to show the strength of the correlation. For example, you may be looking for the relationship between classroom size and school graduation rate, or how much lung capacity relates to endurance. Sometimes you have two variables and are looking for the relationship between them. Create Heatmaps that Show Trends or Density in Tableau (Link opens in a new window). Examples of Change Over Time (Link opens in a new window). Visualizing Time: Beyond the Line Chart (Link opens in a new window). New Ways to Visualize Time (Link opens in a new window). 
Understand change over time with time-series analysis (Link opens in a new window).How has this measure changed in the past year?.What kind of question does this chart answer?
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To show change over time, you need to know the value you expect to change, and how to work with Date fields in Tableau. There are many options for exploring change over time, including line charts, slope charts, and highlight tables. Showing a change over time for a measure is one of the fundamental categories of visualizations. However, before you think outside the box, it's helpful to start with some common chart types. Because Tableau is flexible, we encourage you to think outside the box. With experience you will be able to more quickly assess what chart type you want to create. This isn't a comprehensive list, and there are bound to be exceptions to these categories. This topic presents nine different types of information that you can display with a visualization. Knowing what you need to show will help determine how you want to show it. How you want to present and communicate your insights to othersįor example, showing the growth in sales each year requires a different visualization than showing the connection between discounted items and their profitability.The visualization (or viz) you create depends on: What chart or graph works best for your data? In Tableau, form follows function.
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