In Today’s data era, it is very important to represent data in a way which is suitable for every type of user (Technical or Non-Technical). Use of data visualizations is getting increased exponentially. We have various data visualization tools available in the market such as QlikView, Power BI, Tableau, Google DI studio. Power BI provides …
Email Classification into Relevant Category Using Neural Networks
Email Classification into relevant labels using Neural Networks This research work has been carried out jointly by Deepak Kumar Gupta & Shruti Goyal November 11, 2017 Copyright Notice: Any redistribution or reproduction of part or all of the contents in any form is prohibited other than the following: you may print or download to a …
Continue reading "Email Classification into Relevant Category Using Neural Networks"
MOM Week 24: Turner vs Not Turner – Artwork from The Tate Collection
This visualisation is based on the dataset provided by Makeover Monday for week 24. The Tate collection dataset contains the records of all the artists and artworks in the collection. The overview of the distribution of the collection over years has been of uttermost importance. A large amount of data represents artworks designed by Joseph …
Continue reading "MOM Week 24: Turner vs Not Turner – Artwork from The Tate Collection"
Tutorial: Reading data from PDF Sheets in Tableau
Tableau + PDF = Yayay! Tableau just released latest version 10.3 with exciting features which include the capability of extracting data from PDFs files. Now, you can directly import your market research report, quarterly revenue sheet etc directly into Tableau to build amazing vizs to find hidden insights. How to Connect to PDF files? First step download/update …
Continue reading "Tutorial: Reading data from PDF Sheets in Tableau"
Week 22 MOM – Internet user per 100 people in world (v2)
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 …
Continue reading "Week 22 MOM – Internet user per 100 people in world (v2)"
Week 22 MOM – Internet user per 100 people in world
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 …
Continue reading "Week 22 MOM – Internet user per 100 people in world"
Using R in 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
var divElement = document.getElementById('viz1493909286527'); var vizElement = divElement.getElementsByTagName('object')[0]; vizElement.style.width='100%';vizElement.style.height=(divElement.offsetWidth*0.75)+'px'; var scriptElement = document.createElement('script'); scriptElement.src = 'https://public.tableau.com/javascripts/api/viz_v1.js'; vizElement.parentNode.insertBefore(scriptElement, vizElement); 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 …
Clustering in R
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
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. …
Continue reading "TabPy Tutorial: Integration of Python in Tableau"
Reckon Analytics 