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Project_1

UOB Bootcampus Week8 Group Project.
By Hanwen, Bhav and Sana.

Describe

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  • Collecting data from Nasdaq and we get exchange rate by API in order to make all currency same. Get dataset1.

  • Clean data from www.Eric_Grose.com. Get dataset2. 3bb726c6dd838405c295026d1b992f8

  • Use API to collect lattitude, Longtitude and continents information of these countries.

  • Merge with dataset2.

  • Cut dataset2 into four bins 'Country Size'. 47023031f1fc54af3e669528daf3d42

  • Plot mutiple line chant of some countries for 2016 to 2020 base on dataset1. 2235bf8f8134c9e06b5220df7edd3c3

  • Generate summary of dataset2. Base on 'Country Size' and 'Continents'. 9f73db07d03724f1c0c58ef01bf1708

  • Create maps of 'World map of Total GDP' and 'World map of GDP PER PERSON'. 0ab35493201dc52fce3933221beaaab

  • Plot linar Regression with Population(millions) and nominal GDP(100 millions). The r-value is: 0.4068. fabfe6db232e7cde831da5f8d8c01bc

Dataviz with PieCharts

The code performs the following tasks:

  • Reads the GDP data from the provided CSV file.

  • Selects relevant columns for analysis.

  • Groups the data by continents and calculates total GDP growth, GDP per capita, and nominal GDP for each continent.

  • Generates pie charts to visualize the results:

    • Total GDP Growth per capita by Continent

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    • Total nominal GDP Growth by Continent

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    • Total GDP Growth by Continent

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    • Top 10 countries with high GDP growth rate

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    • The pie charts are saved in the output directory.

  • Bar charts. dfa3b86ccb506134ccdd1b85594e14a 05ed8219162844a842911d4e8b88b8d 7c94e0e38edb90bf48509ed592c184a

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Data visualization of GDP data\By Hanwen, Bhav and Sana

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