[Ayub Pathan]
[Data Analytics, Remote & May 2021]
Several people died in last decades due to certain causes. This project was aimed to find out what were the causes of their deaths as well as relative finding with respect to supportive dataset of Age. Also, it was interesting to see which causes were dominant during 1990 to 2017 and their relative percentage change over 27 years.
What are the major contributors? Other causes rather than major contributors Was age data relevant to major contributors? Suspicious data exploration with the help of map creation? Comparison between High SDI & Low SDI Relative change in causes over 27 years
I used a open source datasets from the website: https://ourworldindata.org/ Two different datasets were used for this project: Dataset 1: causes of deaths in the world Range: 1990 - 2017
Dataset 2: causes of death by age Range: 1990 - 2017
Data reading Understanding Finding of nan values if any & their relevancy Data cleanin and sorting Filtering World data so that not to misinterpret whole dataset with world values Melting all filter datasets and saving them separately in the csv files Transferring all filtered data to tableau to visualise the results Making World Map to figure out special cases of conflicts and natural disasters
Through the proejct, I used trello board to organise my work
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