From the course: Learning Data Analytics Part 2: Extending and Applying Core Knowledge
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Building basic charts visual
From the course: Learning Data Analytics Part 2: Extending and Applying Core Knowledge
Building basic charts visual
- [Instructor] When you're a data analyst, you become comfortable in spreadsheets and databases and looking at datasets in their raw format, but showing other people a set of thousands of records really isn't impactful, and even you won't be able to see the big picture with a thousand records. This is where visualization comes into play in the data analyst role. Most analysts typically think about visualization as the outcome of their analysis, and they save building charts and graphs for the end of the process. Research in cognitive science shows us that humans can spot visual patterns pretty effectively, and nothing says there's an issue more than a gigantic column that isn't supposed to be there. In addition to spotting problems early, when we build basic charts and graphs, it helps our decision-makers communicate what they might want to see in the final visuals. Let's look at two visual variations of the PO counts. Let's start with a pie chart. So I'll go ahead and highlight my…
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Contents
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Ad hoc reporting6m 46s
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(Locked)
Building basic charts visual5m 17s
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(Locked)
Visuals using conditional formatting5m 23s
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(Locked)
Setting templates and default charts4m 48s
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(Locked)
Linking verus embedding charts and data5m 54s
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(Locked)
Challenge: Ad hoc presentation55s
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(Locked)
Solution: Ad hoc presentation3m 4s
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