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Learn Calculating Mean and Median Values with Python | 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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Calculating Mean and Median Values with Python

You're already familiar with the mean and median. Now it's time to calculate them using Python. Start by importing the numpy library using the np alias:

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Use the .mean() and .median() functions to compute the mean and median values. Here's a code example, feel free to modify the columns and observe the results:

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# Import library import numpy as np 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) # Calculate the mean value mean = np.mean(df['salary_in_usd']) # Calculate the median value median = np.median(df['salary_in_usd']) print('The mean value is', mean) print('The median value is', median)
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