Basic Statistical Operations | Getting into NumPy Basics
Getting into NumPy Basics

# Basic Statistical Operations

`NumPy` offers a suite of functions for executing basic statistical operations on `NumPy` arrays, making it indispensable for data analysis. Key functions include:

• `mean()`: Computes the mean (average) of array elements;
• `median()`: Determines the median (middle value) of array elements;
• `std()`: Calculates the standard deviation, measuring the spread of the array elements;
• `var()`: Assesses the variance, indicating the variability of array elements;
• `min()`: Identifies the minimum value within an array;
• `max()`: Locates the maximum value within an array;
• `argmin()`: Finds the index of the minimum value in an array;
• `argmax()`: Discovers the index of the maximum value in an array.

1. Create an array filled with 10 random values.
2. Compute the mean of the array.
3. Determine the median of the array.
4. Calculate the standard deviation of the array.
5. Assess the variance of the array.

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Getting into NumPy Basics

# Basic Statistical Operations

`NumPy` offers a suite of functions for executing basic statistical operations on `NumPy` arrays, making it indispensable for data analysis. Key functions include:

• `mean()`: Computes the mean (average) of array elements;
• `median()`: Determines the median (middle value) of array elements;
• `std()`: Calculates the standard deviation, measuring the spread of the array elements;
• `var()`: Assesses the variance, indicating the variability of array elements;
• `min()`: Identifies the minimum value within an array;
• `max()`: Locates the maximum value within an array;
• `argmin()`: Finds the index of the minimum value in an array;
• `argmax()`: Discovers the index of the maximum value in an array.