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Analyzing and Visualizing Real-World Data
Analyzing and Visualizing Real-World Data
The Most Profitable Periods
Good, now we know that the given data are weekly. Let's find out what weeks were the most profitable by comparing the total for each week.
Swipe to show code editor
- Group the observations in the
df
dataframe by the'Date'
column values. - Select the
'Weekly_Sales'
column. - Calculate the total (sum) for each group.
- Sort values in descending order (not ascending).
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The Most Profitable Periods
Good, now we know that the given data are weekly. Let's find out what weeks were the most profitable by comparing the total for each week.
Swipe to show code editor
- Group the observations in the
df
dataframe by the'Date'
column values. - Select the
'Weekly_Sales'
column. - Calculate the total (sum) for each group.
- Sort values in descending order (not ascending).
Дякуємо за ваш відгук!
The Most Profitable Periods
Good, now we know that the given data are weekly. Let's find out what weeks were the most profitable by comparing the total for each week.
Swipe to show code editor
- Group the observations in the
df
dataframe by the'Date'
column values. - Select the
'Weekly_Sales'
column. - Calculate the total (sum) for each group.
- Sort values in descending order (not ascending).
Дякуємо за ваш відгук!
Good, now we know that the given data are weekly. Let's find out what weeks were the most profitable by comparing the total for each week.
Swipe to show code editor
- Group the observations in the
df
dataframe by the'Date'
column values. - Select the
'Weekly_Sales'
column. - Calculate the total (sum) for each group.
- Sort values in descending order (not ascending).