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Standard Deviation with Python | Variance and Standard Deviation
Learning Statistics with Python
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Conteúdo do Curso

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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Standard Deviation with Python

The first function is from NumPy, and the second method is from pandas. Take a look at the example of calculating the standard deviation for the work_year:

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import pandas as pd import numpy as np 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 standard deviation using the function from the NumPy library std_1 = np.std(df['salary_in_usd']) # Calculate the standard deviation using the function from the pandas library std_2 = df['salary_in_usd'].std() print('The standard deviation using NumPy library is', round(std_1, 2)) print('The standard deviation using pandas library is', round(std_2, 2))
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Seção 3. Capítulo 5
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