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Lernen 3-variable Scatterplot | More and More Plots
First Dive into seaborn Visualization

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3-variable Scatterplot

We figured out how to build a scatterplot based on 2 variables. But we can also create a plot based on 3 variables!

The 3rd variable is named hue.

An example of a 3-variable scatterplot:

To initialize a 3-variable scatterplot based on the pandas DataFrame, we need to input at least 4 parameters: x, y (columns-coordinates for the plot), hue (the third variable), and data (he DataFrame containing the data).

Look at the code below!

12345678910111213
# Importing libraries needed import seaborn as sns import matplotlib.pyplot as plt import pandas as pd # Reading the file df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/c5b4ea8f-8a30-439f-9625-ddf2effbd9ac/example5.csv') # Creating the 3-variable scatterplot sns.scatterplot(x = 'x', y = 'y', hue = 'gender', data= df) # Showing the plot plt.show()
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Let's solve a problem from a common example of using 3 variables on plots.

Tips problem

You have the following data:

  • What was the total bill of the visitor (bill);

  • What tips did he/she leave (tips);

  • Gender of the client (gender);

  • Daytime client visited the cafe (daytime).

Aufgabe

Swipe to start coding

  1. Import the seaborn with sns alias.
  2. Import the matplotlib.pyplot with plt alias.
  3. Import the pandas with pd alias.
  4. Create a scatterplot using 'bill' column for the x-value and 'tips' column for the y-value and 'daytime' for the hue-value using df dataset.
  5. Show the plot.

Lösung

Switch to desktopWechseln Sie zum Desktop, um in der realen Welt zu übenFahren Sie dort fort, wo Sie sind, indem Sie eine der folgenden Optionen verwenden
War alles klar?

Wie können wir es verbessern?

Danke für Ihr Feedback!

Abschnitt 2. Kapitel 3

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book
3-variable Scatterplot

We figured out how to build a scatterplot based on 2 variables. But we can also create a plot based on 3 variables!

The 3rd variable is named hue.

An example of a 3-variable scatterplot:

To initialize a 3-variable scatterplot based on the pandas DataFrame, we need to input at least 4 parameters: x, y (columns-coordinates for the plot), hue (the third variable), and data (he DataFrame containing the data).

Look at the code below!

12345678910111213
# Importing libraries needed import seaborn as sns import matplotlib.pyplot as plt import pandas as pd # Reading the file df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/c5b4ea8f-8a30-439f-9625-ddf2effbd9ac/example5.csv') # Creating the 3-variable scatterplot sns.scatterplot(x = 'x', y = 'y', hue = 'gender', data= df) # Showing the plot plt.show()
copy

Let's solve a problem from a common example of using 3 variables on plots.

Tips problem

You have the following data:

  • What was the total bill of the visitor (bill);

  • What tips did he/she leave (tips);

  • Gender of the client (gender);

  • Daytime client visited the cafe (daytime).

Aufgabe

Swipe to start coding

  1. Import the seaborn with sns alias.
  2. Import the matplotlib.pyplot with plt alias.
  3. Import the pandas with pd alias.
  4. Create a scatterplot using 'bill' column for the x-value and 'tips' column for the y-value and 'daytime' for the hue-value using df dataset.
  5. Show the plot.

Lösung

Switch to desktopWechseln Sie zum Desktop, um in der realen Welt zu übenFahren Sie dort fort, wo Sie sind, indem Sie eine der folgenden Optionen verwenden
War alles klar?

Wie können wir es verbessern?

Danke für Ihr Feedback!

Abschnitt 2. Kapitel 3
Switch to desktopWechseln Sie zum Desktop, um in der realen Welt zu übenFahren Sie dort fort, wo Sie sind, indem Sie eine der folgenden Optionen verwenden
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