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Exploratory Data Analysis with Python

Title
Analyzing Internet Usage Across the Globe: A 2018 Snapshot of Countries by Number of Internet Users
Introduction
In today's interconnected world, access to the internet plays a pivotal role in determining a country's connectivity and global presence. The extent of a country's internet usage not only reflects its technological advancement but also has far-reaching implications for various aspects of society, from education and business to communication and culture. This project delves into the dataset of countries ranked by the number of internet users in 2018, aiming to uncover the factors that influence a nation's standing in this digital landscape. Using Python as our analytical tool, we will embark on a journey to decipher the story behind these numbers.
About the Dataset
The dataset comprises six essential columns and encompasses a total of 215 rows, each corresponding to a unique country. The columns include the name of the country, its population, population rank, the number of internet users, internet users rank, and the corresponding internet usage percentage. This rich set of information allows for an in-depth exploration of global internet adoption trends and patterns.
Processing Steps
1) Reading data frame
2) Cleaning data frame
3) Finding relationship factors
4) Analyzing with questions

Output
The project's output will include a thorough analysis of the dataset, shedding light on the factors that influence a country's rank in terms of internet users. Key findings, trends, and patterns will be presented through visualizations and data-driven insights. The analysis may reveal correlations between population size, internet usage, and other factors, offering valuable information for researchers, policymakers, and businesses interested in understanding the digital landscape on a global scale.
Source
Exploratory Data Analysis with Python
Published:

Exploratory Data Analysis with Python

Published:

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