Choosing the right chart for your data visualization is crucial for effectively communicating your findings. The process can seem daunting, but understanding your data's nature and the message you ...

When choosing a chart type for data visualization, you can consider what you want to communicate with your data, the story you want to tell, and how many variables and data points you want to ...

A comparison visual is useful for showing the differences between two or more data points, such as a bar chart or a column chart, while distribution charts can demonstrate how data is distributed, e.g ...

In the Charts group, select the type of chart you want to create. From there, give your chart a name. You can also do any additional formatting you would like, including choosing from more than a ...

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 ...

Pie Charts: Another fundamental form of data visualization, pie charts are effective for comparing parts of a whole. Because they are not placed on an X-Y plot, tracking data over time is not ...

In this webinar, Berinato reviews all types of charts and share best (and worst) practices from his data visualization experience. He also discusses charts that can mislead and will provide ...

Google Sheets is a free alternative to an online data visualization tool. It is a widely used cloud-based spreadsheet processor using which you can create different types of charts. Some of the ...