Links to all other posts in a structured way. Table of contents.
Explains why basics are important using a simple example.
Tutorial on Multicollinearity which is the third part of EDA. Plot of Correlation matrix and network for in-time problem with reusable code.
Tutorial on Multivariate analysis which is the second part of EDA. Explained using in-time problem with reusable R code.
Getting traffic, vehicle used, location and journey time from Google Maps. Integrating these factors for in-time problem.
Explanation of class size paradox using Amrita University placement data. Contains reusable R code for web scraping.
Tutorial on Univariate analysis which is the first part of EDA. Explained using in-time problem with reusable R code.
Last week time spent ■ Cleaning data ■ Formulating hypothesis ■ EDA ■ Actual analytics One of the ways of plotting numerical proportions in statistics is by using the donut chart. In the above example, the time I spent working on a problem in the last week is shown. Although I recommend using D3, Plotly Read More
This blog is the third part of a 3 part series on NX journalling The aim of this blog post is to open an excel window from NX and exporting properties from workPart.Dimensions to excel. Continuing from the previous post, we could write the following program The following code can also be found at https://github.com/HarshaAsh/NXBasics Option Strict Off Read More
This blog is the second part of a 3 part series on NX journalling The aim of this blog post is to display dimensions of a part Part dimensions will be stored in workPart.Dimensions and can be displayed on a listing window. Continuing from the previous post, we could write the following program Imports System Imports Read More