A collection of Tidy Tuesday submissions made on twitter for wommen's soccer world cup 2019 made in R.
This post contains all the visualizations generated in R using the #tidytuesday data set on UFO sightings.
Article discusses the limitation of traditional word cloud visualization and how word cloud can be improved.
Article provides information such as code and Instgarma page links to art generated using Python.
The article discusses the rising debt levels in european economies using animated bar plot and multiple line charts. The visuals are generated using flourish
article lists free online resources to learn ggplot2 package and data visualization techniques.
Articles provides R code and details on various statistical tests for linear models. A good summary for teaching linear models.
The animated visualization shows the rise in population for Indian states from 2001 to 2026. Learn to create a bar race chart using flourish.
Articles explains methods to detect outliers and strategies for working with new data.
Interactive visual showing countries most preferred by Indian Students in 2016 . Learn to create this using a web based tool called Flourish
A great video that explains wealth in USA and wealth tax using great visual story telling technique.
Learn to visualize Hierarchy or grouped data in flourish using the data related to languages in India
Articles shows how important it is for the Government of India to publish reliable and accurate data.
The circular plot is generated using gggplot2 and Iphone health data showing the number of steps walked during 2017.
Post shows the gender bias in among Nobel Prize winners in the field of economics using the dot plot in R.
This visualization compares nations with most CO2 emissions and nations most vulnerable to climate change.
The post analyzes the trend and volatility observed in digital currency market using the crypto package in R.
This post discusses two interesting post on tile grid maps and how they can be used to visualize data from India.
This post provides a quick summary of economists view of the difference between machine learning and econometrics.
The population of India is projected to reach 1.39 billion by 2026. The important issue facing India is how to sustain this?
The article provides an explanation on methodology to calculate comprehensive concentration index and entropy index using a user defined function in R.
NBER digest highlights the factors contributing to the stagnant wages in USA using HHI measure.
Understanding concentration measures such as Herfindahl-Hirschman Index (HHI) to analyze markets and horizontal mergers.
I visit various websites to collect data. Most of the sites i visit are mostly managed by various Government of India central or state departments / ministries. Given everything is digitized one realizes the extent to which this digitization has brought to light some of the issues related to quality of the websites as well... Continue Reading →
visualizing statewise murder cases in India from 2010 to 2016 using Geo Facet plot in R.
The National Crime Records Bureau (NCRB) in its yearly publication titled Accidental Deaths and Suicides in India reports 11 main causes of death in India from road accidents. The total deaths in India from road accidents is 148707. The top 4 causes of road accidents are dangerous/careless/ overtaking, speeding, other causes and weather. These 4... Continue Reading →
This article shows how business cycles time periods in India can be shaded to enhance the interpretability of economic indicators. This article also serves as an introduction to creating rectangles in R to identify recessionary time frames.
This article tries to explore the possibility of adopting open source technology like R
by Government of India.
This article is a beginners step to understanding the endless possibilities of combining the open data initiative with open source technology.
The post introduces generating line chart in R. Using the googleVis package allows us to generate interactive plot in R.
The data used for generating the plot is based on FDI inflows in the auto industry.
This post shows how one can use RInno package to share a shiny application within an organization without hosting it on a server.
The plot is generated as a part of Makeover Monday. The data comprises of close to 1000 observations. The original story was published here. The plot is inspired from New York Times post on Gender Wage gap in USA. The data for the post is available on MakeoverMonday. The plot was generated using R and inkscape was... Continue Reading →