Post discusses various types of normality tests and their functions in R.
Learn to create wordcloud in R using the Bob Ross data provided as a part of Tidy Tuesday week 32.
The trend in power plants installed capacity in India using an animated line chart in R using ggplot2 package.
This posts discusses the limitations of the chart from Ministry of Power website and how it could be improved.
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 →