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项目作者： logiflo

项目描述 ：
Jupyter notebooks from Kaggle tasks and competitions.
高级语言： Jupyter Notebook
项目地址: git://github.com/logiflo/Kaggle-projects.git
创建时间： 2020-10-23T15:58:00Z
项目社区：https://github.com/logiflo/Kaggle-projects
开源协议：
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Kaggle Projects

This repository contains jupyter notebooks for Kaggle tasks and competitions.

Projects

CO2 Emissions

This project analyses the C02 Emissions by country from 1750 to 2017.

Data Set

The data sources are not provided, but it is available in Kaggle.

It contains 4 variables: Country, Code, Year and Annual CO2 Emission in tonnes. Each row each row gives us an emission value for a given country at a given year.

Summary

After cleaning the data by removing the Code column, I have developed a function that graphically displays the CO2 emissions according to the selected country.

The country with the highest total emissions of CO2 from 1750 to 2017 is the United States. Although in 2017 the country with the highest annual emissions is China followed by the United States.

Google Play Store

This project is focused on data cleaning of the Google play store dataset extracted in 2018.

Data Set

The data sources are not provided, but it is available in Kaggle

This data set contains 10841 apps with 13 variables on each app. These variables are: App, Category, Rating, Reviews, Size, Installs, Type, Price, Content Rating, Genres, Last Updated, Current Ver, Android Ver.

Summary

This project consists of cleaning the database column by column, in order to have the data ready for later analysis.

Some examples are:

  • Convert columns into numeric, removing ‘+’, ‘$’, ‘M’ or ‘k’.
  • Fill in the missing values if possible.
  • Divide Genres into Main Genres and Sub Genres.
  • Convert date in datetime type.

After cleaning data, 4 next columns have been created: Main Genres, Sub Genres, Last Updated in Days, MIN Android Ver.