From the course: Learning Amazon Web Services (AWS) QuickSight
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Exploring visualization options - AWS QuickSight Tutorial
From the course: Learning Amazon Web Services (AWS) QuickSight
Exploring visualization options
- [Instructor] When you create visuals in QuickSight, you want to think about how you want to visually communicate data trends. Examples of questions from our own weather data set include, how do temperature levels fluctuate? How does rainfall compare between locations? I'm not going to walk through all the available QuickSight visual types, but I'm going to introduce you to a process for choosing effective visuals for the data you're working with. Bar charts utilize bars or rectangles, where the different side lengths model the values of the measure fields and the dimensions determine the number of rectangles in the chart and how we calculate the value for the measures. Depending on the end goal of your bar chart visual, you can select between several different chart variations just for bar charts, including vertical or horizontal orientation, stacked or clustered, and 100% or actual numbers. Line charts communicate…
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Contents
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Creating visuals7m 1s
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Exploring visualization options6m 13s
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Aggregating measures4m 8s
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Formatting visuals7m 43s
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Sorting data logically2m 40s
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Filtering visuals7m 52s
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Adding color themes8m 24s
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Leveraging conditional formatting4m 20s
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Creating table calculations8m 11s
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Challenge: Creating visualizations39s
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Solution: Creating visualizations6m 59s
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