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1: Power Query
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2: Python Scripts in Power Query
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3: Removing Duplicates
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4: Split a Column
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5: Merging Columns
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6: Missing Values
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7: Performance Considerations
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8: Data Refresh
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9: Data Refresh
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10: Formatting
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11: Filters
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This lesson's interactive features are locked, please to keep using them
We can make our charts even easier to read by formatting the visuals. Let's talk through some of the different formatting options!
Data labels show the actual numbers directly on your visualization. In the case of a bar chart, it shows the value that represents the size of the bar.
Your axes on the chart don't need to have the same (sometimes gross) name as the column. It can be changed.
A clean, readable chart with consistent fonts and spacing always looks more professional than one overloaded with decoration.
Save the project and, from the course directory, submit the CLI tests.