Workshop: Using R/tidyverse to analyze & visualize gapminder/processed transcriptomics data!
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Updated
Jul 10, 2023 - HTML
Workshop: Using R/tidyverse to analyze & visualize gapminder/processed transcriptomics data!
The app has a single main page with three visualizations that depend on the filters selected. Most importantly, the top left contains a filter which selects the statistic of interest and this is the main filter on which all of the visuals are built and includes life expectancy, child mortality, education ratio, population density and CO2 emissions.
Analysis of datasets from "Gapminder World" to gain insights into countries' environment and economy from their consumption of energy. The analysis covers steps ranging from gathering and wrangling data to EDA and drawing conclusions.
Analysis of Gapminder World data
My objective is to identify the impact of GDP growth on four metrics of human well-being: Income, Human Development Index (HDI) and Life Expectancy. In this investigation, I used four data sets from the Gapminder to identify trends of the change in GDP over time as well as other indicators according to different countries and regions of the world.
Exploratory Data Analysis - R, Statistical methods, Time Series
Any data but iris 👁
Investigate per capita CO2 data from Gapminder.
Analysis of employment levels changes with time in the United States using data from gapminder.org.
This project is a web app to visualize gapminder dataset.
Gapminder Data Visualization
Investigate data set project
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