See below for an example of a pie chart displaying the expenses distribution for each of our departments. COMBO CHARTS. Combo charts in Excel are a powerful way to combine different types of charts ...

There are dozens of chart types for visualizing data, yet analysts come back to bar charts, time and time again. Simply put, bar charts are really good at what they do: they’re quick to create ...

Bar charts and pie charts are two common ways of representing data, and while they can sometimes be used interchangeably, they don’t make sense for every type of dataset. Here’s how to choose ...

For example, the value “10,523” can be shown as “10K” on a bar graph. Where possible, sort data by value to emphasize scale, but be careful not to distort the difference between categories.

However, each visualization type is intended to show different types of data in specific ways to best represent its insight. Let’s look at five of the most common visualization types to help you ...

For example, in a line chart: The base/chart can be the primary color (~60%), the data can be the secondary color (~30%) and the trend line can be the accent color (~10%). • Contrast colors and ...

Data visualization transforms raw numbers into clear, actionable insights that are easy to interpret. Excel offers a wide range of chart types, including bar, line, pie, and scatter plots, to suit ...

Truncated Y-Axis. One of the easiest ways to misrepresent your data is by messing with the y-axis of a bar graph, line graph, or scatter plot. In most cases, the y-axis ranges from 0 to a maximum ...

Bar charts represent data using length. This means that if the bars don’t begin at zero, comparisons between bar lengths will distort the data — and a reader’s comprehension of the numbers.

Data visualization is the presentation of data in a graphical format such as a plot, graph, or map to make it easier for decision makers to see and understand trends, outliers, and patterns in data.