Import Necessary Libraries and Data

Firstly, we need to import all necessary modules, upload the data, and visually examine it.

Modules and methods description

numpy (np): Essential for numerical computing and array operations;
pandas (pd):
- read_csv(): Facilitates reading CSV files into DataFrame for data analysis;
- DataFrame.head(): Offers a quick glimpse of the initial rows in the DataFrame.
matplotlib.pyplot (plt): Enables creating various types of plots for data visualization;
seaborn (sns): Enhances statistical data visualization based on matplotlib.

The task is completed!

Import numpy, pandas, matplotlib.pyplot and seaborn (as np, pd, plt, and sns, respectively).
Read the "Live.csv" file.
Show the first 5 rows of the dataset.

Everything was clear?

Section 1. Chapter 2

Course Content

Clustering Demystified

Firstly, we need to import all necessary modules, upload the data, and visually examine it.

numpy (np): Essential for numerical computing and array operations;
pandas (pd):
- read_csv(): Facilitates reading CSV files into DataFrame for data analysis;
- DataFrame.head(): Offers a quick glimpse of the initial rows in the DataFrame.
matplotlib.pyplot (plt): Enables creating various types of plots for data visualization;
seaborn (sns): Enhances statistical data visualization based on matplotlib.

The task is completed!

Import numpy, pandas, matplotlib.pyplot and seaborn (as np, pd, plt, and sns, respectively).
Read the "Live.csv" file.
Show the first 5 rows of the dataset.

Everything was clear?

Section 1. Chapter 2