Ayushlion8 commented 1 year ago

…the dataset with the help of statistical analysis and visualization techniques of the features of the dataset.

Issue no.

108

Description

The provided code is a Python script that performs basic Exploratory Data Analysis (EDA) on a dataset. Here's a brief description of what the code does:

Load the Dataset:

The script begins by loading a dataset from a CSV file. You need to replace 'your_dataset.csv' with the actual path to your dataset file.

EDA and Visualization:

It then performs EDA, which involves exploring the dataset to understand its characteristics. In this example, it creates a scatter plot using two features, 'feature1' and 'feature2,' from the dataset. This scatter plot visualizes the relationship between these two features. The script sets labels for the x and y axes and adds a title to the plot. After creating the plot, it displays it using plt.show().

Calculate Basic Statistics:

The script calculates basic statistics for numeric columns in the dataset using the describe() method. These statistics include measures like mean, standard deviation, minimum, maximum, and quartiles. It prints these basic statistics to the console.

Important Note:

The script is a template and needs to be adapted to your specific dataset. You should replace 'your_dataset.csv' with the actual path to your dataset and select the relevant features and visualizations based on your dataset's content and analysis goals.