Lära First Look at the Data | Visualizing Data

Welcome to the last section! In the previous section, we investigated that the most profitable week, according to sales data, is the 'pre-Christmas' week, while Christmas week itself is significantly worse.

We want to start with some exploratory analysis: let's see revenues over weeks using matplotlib and seaborn.

Uppgift

Swipe to start coding

Import the matplotlib.pyplot with the alias plt, and seaborn with the alias sns.
Prepare data for visualization: calculate the total revenue for all shops across weeks. To do it, group the values of the df dataframe by the 'Date' column, select the 'Weekly_Sales' column, calculate total values, and reset indexes. Save the obtained data within the data variable.
Initialize a line plot with the 'Date' values on the x-axis, 'Weekly_Sales' values on the y-axis, using the data dataframe.
Display the plot.

Lösning

Var allt tydligt?

Tack för dina kommentarer!

Avsnitt 4. Kapitel 1

single

Fråga AI

Fråga vad du vill eller prova någon av de föreslagna frågorna för att starta vårt samtal

Svep för att visa menyn

We want to start with some exploratory analysis: let's see revenues over weeks using matplotlib and seaborn.

Uppgift

Swipe to start coding

Import the matplotlib.pyplot with the alias plt, and seaborn with the alias sns.
Prepare data for visualization: calculate the total revenue for all shops across weeks. To do it, group the values of the df dataframe by the 'Date' column, select the 'Weekly_Sales' column, calculate total values, and reset indexes. Save the obtained data within the data variable.
Initialize a line plot with the 'Date' values on the x-axis, 'Weekly_Sales' values on the y-axis, using the data dataframe.
Display the plot.

Lösning

Byt till skrivbordet för praktisk övningFortsätt där du är med ett av alternativen nedan

Var allt tydligt?

Tack för dina kommentarer!

Avsnitt 4. Kapitel 1

single

First Look at the Data

Lösning

Awesome!

First Look at the Data

Lösning

Awesome!