Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.Lære First Look at the Data | Visualizing Data
Analyzing and Visualizing Real-World Data

bookFirst Look at the 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.

Oppgave

Swipe to start coding

  1. Import the matplotlib.pyplot with the alias plt, and seaborn with the alias sns.
  2. 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.
  3. Initialize a line plot with the 'Date' values on the x-axis, 'Weekly_Sales' values on the y-axis, using the data dataframe.
  4. Display the plot.

Løsning

Alt var klart?

Hvordan kan vi forbedre det?

Takk for tilbakemeldingene dine!

Seksjon 4. Kapittel 1
single

single

Spør AI

expand

Spør AI

ChatGPT

Spør om hva du vil, eller prøv ett av de foreslåtte spørsmålene for å starte chatten vår

close

Awesome!

Completion rate improved to 3.45

bookFirst Look at the Data

Sveip for å vise menyen

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.

Oppgave

Swipe to start coding

  1. Import the matplotlib.pyplot with the alias plt, and seaborn with the alias sns.
  2. 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.
  3. Initialize a line plot with the 'Date' values on the x-axis, 'Weekly_Sales' values on the y-axis, using the data dataframe.
  4. Display the plot.

Løsning

Switch to desktopBytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenfor
Alt var klart?

Hvordan kan vi forbedre det?

Takk for tilbakemeldingene dine!

Seksjon 4. Kapittel 1
single

single

some-alt