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.

Tarefa

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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.

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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.

Tarefa

Swipe to show code editor

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

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo

Seção 1. Capítulo 2

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