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.

Uppgift

Swipe to start coding

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.

import numpy as np # linear algebra

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import matplotlib.pyplot as plt # for data visualization

import seaborn as sns # for statistical data visualization

data = pd.read_csv("Live.csv")

data.head(5)

Mark tasks as Completed

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Avsnitt 1. Kapitel 2

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