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Alternatively, a density curve can be used in place of a histogram, as a smoothed estimate of the underlying distribution.

What is the best chart for comparing two variables. A scatter plot presents lots of distinct data points on a single chart. You want to compare one set of values with another. In other words, they can perform a task usually done by two different charts.

A comparison tries to set one set of variables apart from another, and display how those variables interact, like the number. What is their level of understanding or knowledge? The chart can then be enhanced with analytics like cluster analysis or trend lines.

Especially if one uses them to compare several variables. But first, let’s define and learn more about comparison charts. In part 1 of this series, we walked through the first three data visualization functions:

Bar charts are good for comparisons, while line charts work better for trends. Which data visualization formats are they familiar with? 12 types of charts for data visualization:

Charts, visualizations, or insights are the building blocks of all dashboards, so choosing the right chart type is one of the crucial skills when building a dashboard. We have sales data for different states and cities. Who do you want to share it to?

Heat map represents the variable under comparison for various categories as heat signatures. Here’s an overview of a comparison chart with a pivot table. A scatter plot uses dotted points to compare values against two different variables on separate axes.

A scatter plot displays values on two numeric variables using points positioned on two axes: The hotter a certain category appears the higher is the value of the variable under comparison for the category. Photo by morgan housel on unsplash.

However, please be aware that bar charts can be confusing, too. Heat maps allow easier and faster readability of the data in order to identify the extremes. We will make a comparison chart of sales for different states.

If you haven’t read part 1 of this series, i recommend checking that out! Relationship, data over time, and ranking plot. Dual axis bar and line chart.

A scatterplot is the most useful display technique for comparing two quantitative variables. You can use a comparison chart to compare key data points in your data story. A bar chart with one variable is easy to follow.

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