Week 22 MOM – Internet user per 100 people in world (v2)

Posted Leave a commentPosted in Blog, Tableau

Makeover Monday -Week 22 This is the first time when I contributed to #MakeoverMondaytableau community work. I really enjoyed working with a different set of data and finding insights which might be useful for the betterment of our society. Looking forward to doing more #MakeoverMonday from next week. About Dataset: Internet users per 100 people This […]

Makeover Monday Week 22

Week 22 MOM – Internet user per 100 people in world

Posted Leave a commentPosted in Blog, Tableau

Makeover Monday -Week 22 This is the first time when I contributed to #MakeoverMondaytableau community work. I really enjoyed working with a different set of data and finding insights which might be useful for the betterment of our society. Looking forward to doing more #MakeoverMonday from next week. About Dataset: Internet users per 100 people This […]

Using R in Tableau

Posted Leave a commentPosted in Blog, R, Tableau

Requirements: Tableau Professional Edition R Studio or R Console Setting Up Tableau Desktop with R: Install following packages in R: install.packages(RServe) Once it is installed then start R Server by entering following command in the console: > library(RServe) > RServe() Configuring Rserve Connection: In Tableau go to following menu setting: Help -> Settings and Performance […]

QVC

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The objective of this challenge was to create a Decision Support System so that QVC can make strategic decisions to answer some of the business questions such as customer next buy (product and product category), top products and categories according to geography and the best time to sell product and brand affinity. To develop a […]

Clustering in R

Posted Leave a commentPosted in R, Uncategorized

help(kmeans) set.seed(1) x=matrix(rnorm(50*2), ncol=2) plot(x) x[1:25,1]=x[1:25,1]+3 x[1:25,2]=x[1:25,2]-4 plot(x) km.out=kmeans(x,2,nstart=20) km.out K-means clustering with 2 clusters of sizes 25, 25 Cluster means: [,1] [,2] 1 0.03223135 0.06924384 2 3.16866521 -3.83459093 Clustering vector: [1] 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 […]

TabPy Tutorial: Integration of Python in Tableau

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This tutorial will give a walk through the installation and connecting Tableau with TabPy. After this tutorial, one will be able to execute a simple python function from Tableau to perform some analytics calculation such as correlations etc 1. Installation of Python and TabPy Windows Users: https://github.com/tableau/TabPy Download this official TabPy Integration from above link. […]