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.

Tarea

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.

Tarea

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.

Mark tasks as Completed

¿Todo estuvo claro?

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.

Tarea

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.

Mark tasks as Completed

Sección 1. Capítulo 2

AVAILABLE TO ULTIMATE ONLY