Leer Statistics with pandas

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The Pandas library already has three built-in functions for calculating the mean and median. To import pandas using the pd alias, use the following syntax:

import pandas as pd

Here's an example of calculating the .mean() and .median() for the 'work_year' column in the dataset named df.

Feel free to change the columns and observe the results:


              1234567891011
            
import pandas as pd

df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a849660e-ddfa-4033-80a6-94a1b7772e23/update/ds_salaries_statistics', index_col = 0)

# Calculating the mean value
mean = df['work_year'].mean()
# Calculating the median value
median = df['work_year'].median()

print('The mean value is', mean)
print('The median value is', median)

To calculate key statistical values, use methods designed for handling measurements, such as:

.mean()
.median()

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