![]() Select the values for your y-axis and series. In the chart setup, you'll need to start with these basics: 1) Configure Y-Axis and Series The most basic Bar Chart has the following elements. We're going to assume you've selected a data set and picked a chart type. Now that we've given an overview, we'll show you a few things that will get you up and running quickly with the basic chart types. Waterfall charts are useful for analyzing how changes to individual parts affect the overall sum and can be used to analyze data such as costs, income, profits, and losses over time. It consists of bars that are either raised or lowered depending on how much each value contributes, with the result being a visual representation of how each value affects the total. WaterfallĪ waterfall chart in Google Sheets is a special type of chart that depicts how different values within a dataset contribute to the total. Histograms provide an easy way to compare the distribution of different sets of data in a single graph while also displaying how individual parts interact with each other to create the overall picture. They can be set up with various parameters, such as horizontal or vertical orientation, color coding, and multiple levels of analysis. Histogram Charts in Google Sheets are data visualizations that show how different values within a dataset are distributed over time. Plotting data by geography can be tough to do mentally (or in your mind's eye), so it can be very helpful to see it on a map. If your data contains geographical information, this can be a real crowd-pleaser. Geo (Maps)Ī Geo Chart provides a geographical representation of data points on maps. It's fairly common to have a combo column and line chart. For example, you can create a combo chart of area and line charts to better show how two values interact with each other over time. Google Sheets also offers Combo charts, which are hybrid graphs that combine multiple chart types for greater visualization. Stacked bar and column charts are often used when comparing multiple datasets at once or when analyzing how different categorizations contribute to a whole over time. These charts show how each value contributes to the whole, which can help viewers understand how various components interact within the dataset. Variations of a standard bar or column chart, the stacked variations provide a visual representation of how different data values combine to create a total. Stacked Bar and Stacked Column Charts in Google Sheets Here are a few worth noting, but once you're familiar with the basic types you can venture into more advanced visualizations. There are so many additional visualization types and configurations of those types. Follow these basic steps: 1) Select the Data to Visualize in Google SheetsĪrea Chart in Google Sheets Other Chart Types in Google Sheets There are other ways to kick into data visualization creation, but this is by far the easiest. To start, open up your Google Sheets spreadsheet and select the data you would like to include in your graph or chart. Select the Data to Visualize in Google Sheets This guide will get you started with the basics. ![]() Regardless, finding direction in this vast universe can be difficult. Even within just the Google Sheets universe, we'll only touch on a fraction of the options, extensions, add-ons, and capabilities. ![]() It should be noted, between Looker, Looker Studio, and all of the capabilities of the Google Cloud Platform, Google is a master of modern-day data visualization with much to offer. If you're just getting started with graphs or charts in Google Sheets, this guide should give you all of the tools to start on a good foot. Getting started is a breeze, but you'll quickly realize the depth of configuration and visualization options. Creating a graph or chart in Google Sheets is a simple process that involves gathering the data you want to display, inputting it into the appropriate columns and rows, and then using the built-in chart functions to visualize your data.
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