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Learn Statistics with pandas | Mean, Median and Mode with Python
Learning Statistics with Python
course content

Course Content

Learning Statistics with Python

Learning Statistics with Python

1. Basic Concepts
2. Mean, Median and Mode with Python
3. Variance and Standard Deviation
4. Covariance vs Correlation
5. Confidence Interval
6. Statistical Testing

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Statistics with pandas

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:

python

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:

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

python
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