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Part 3 : Excel Data Manipulation and visualization Add the table above to excel either by typing it manually or save the dataframe as a

Part 3: Excel Data Manipulation and visualization
Add the table above to excel either by typing it manually or save the dataframe as a CSV using the
code below, and then open it with excel. (Each answer should be on a new worksheet by either
coping the table to it or by answering the question in such away that the answer is on a new
worksheet.)df.to_csv(sales_data.cs, index=False) #Set index=False to exclude the index df is your
dataframe.
1. At the bottom of the following column, create a sparkline(line graph) on age and data bars on
the quantity and value column in an Excel sheet.
2. Create a pivot table from the dataset
3. Introduce slicers and demonstrate how they can be used for interactive filtering.
4. Provide an example of creating a pivot chart and customizing it.
5. Sort by the name column name
6. Filter all names that do not start with k on a new worksheet.

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