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Bar Charts or Bar Graphs | Matplotlib Tutorial Part 3 | Analysing data from a csv file

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Bar charts or Bar graphs are used to visualize a continuous variable versus a categorical variable. They provide a great way to visualize the magnitudes of a quantitative variable in terms of a qualitative variable. Depending on the software we used to create a bar graph or bar chart, the height of the bars can show either the maximum value or the average value of the quantitative variable.
ADVANTAGES:
Summarize a large amount of data in a very interpretable way.
Easily readable by a large amount of audience.
Easy to display the contribution for multiple categories
DISADVANTAGES:
Sometimes need some extra explanation.
Fails to show the assumptions behind the data.
#datavisualization #matplotlib #python
ADVANTAGES:
Summarize a large amount of data in a very interpretable way.
Easily readable by a large amount of audience.
Easy to display the contribution for multiple categories
DISADVANTAGES:
Sometimes need some extra explanation.
Fails to show the assumptions behind the data.
#datavisualization #matplotlib #python
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