How to Calculate Mean, Median, Mode, and Range from a Set of Numbers in Python

What are the functions available in Python to calculate mean, median, mode, and range from a set of numbers?

import statistics

data = [1, 2, 2, 3, 4, 5]
mean = statistics.mean(data)
median = statistics.median(data)
mode = statistics.mode(data)
range_value = max(data) - min(data)

Calculating statistical measures such as mean, median, mode, and range from a set of numbers is essential for data analysis in Python. Using the built-in `statistics` module, you can perform these calculations efficiently with a few lines of code.

import statistics

data = [1, 2, 2, 3, 4, 5]
mean = statistics.mean(data)
median = statistics.median(data)
mode = statistics.mode(data)
range_value = max(data) - min(data)

print(f'Mean: {mean}, Median: {median}, Mode: {mode}, Range: {range_value}')

Causes

• Understanding basic statistics is crucial for effective data analysis.
• Using appropriate libraries helps to simplify calculations.

Solutions

• Import the `statistics` module to access its built-in functions.
• Use `statistics.mean()`, `statistics.median()`, `statistics.mode()`, and calculate range with `max()` and `min()` functions.
• Ensure the dataset is appropriate (i.e., not empty) before performing calculations.

Mistake: Calculating mode without handling multiple modes (bimodal or multimodal data).

Solution: Use `statistics.multimode()` if there's a chance of multiple modes.

Mistake: Forgetting to import the statistics module before using its functions.

Solution: Always ensure the necessary libraries are imported at the top of your script.

Mistake: Using an empty dataset which can lead to errors in calculations.

Solution: Check if the dataset is empty before invoking calculations.