Kunal Jain — September 2, 2015
Beginner Business Analytics Data Visualization Infographic Infographics

Introduction

Here is a famous quote on learning:

We Learn . . .
10% of what we read
20% of what we hear
30% of what we see
50% of what we see and hear
70% of what we discuss
80% of what we experience
95% of what we teach others.

If we create a similar ordering on ability to interpret data in various forms – the order will surely look like this:

Text < Table < Charts < Interactive Charts

On the other hand, the amount of data which needs processing and interpretation is increasing by the second. Combined, these two factors are making data visualization an integral form of data science workflow – probably more important than ever before.

In order to address this need for creating simple, yet powerful visualization, there are multiple tools which can come in handy. However, a lot of analysts & data scientists are not aware of these tools. Hence, we have created an infographic, which provides high level overview of various tools people use for creating data visualization.

Data Visualization Tools

What do you think about the infographic? Do you think, there are other tools which should be part of this infographic? If yes, let us know through comments below

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About the Author

Kunal Jain

Kunal is a post graduate from IIT Bombay in Aerospace Engineering. He has spent more than 10 years in field of Data Science. His work experience ranges from mature markets like UK to a developing market like India. During this period he has lead teams of various sizes and has worked on various tools like SAS, SPSS, Qlikview, R, Python and Matlab.

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22 thoughts on "Infographic: Data Visualization Tools For Data scientists & analysts"

Sergey Vlasov
Sergey Vlasov says: September 02, 2015 at 3:33 am
You need to fix it - one of those libraries called Raphael, not Rapheal! Reply
Premsankar Chakkingal
Premsankar Chakkingal says: September 02, 2015 at 4:13 am
How many of these tools are in open source domain ? I know R , python and Gephi are open ..what about others ? Reply
hemanth
hemanth says: September 02, 2015 at 4:49 am
A straight picture of perfection, just what we need is delivered :) :) Wonderful :D Reply
NIKHIL
NIKHIL says: September 02, 2015 at 6:01 am
Hi Kunal What about SAP Lumira? Regards Nikhil Reply
Glenn Ticket
Glenn Ticket says: September 02, 2015 at 7:53 am
An excellent overview. One tool that I have recently added to my data analysis toolkit is Neo4j. There is a community edition of this graph database which comes with a query language cypher. This makes this, in my opinion, a powerful tool for analyzing any form of data that can be interpreted as (or converted to) a graph. Reply
Ramireddy
Ramireddy says: September 02, 2015 at 9:36 am
Hi this is ramulu,i gained a lot of knowledge so want date related scenarios for example YTD,LYTD,MTD,LMTD,MONTH VS LAST YEARM..... Reply
Aditya
Aditya says: September 02, 2015 at 12:35 pm
TIBCO Spotfire is worth to be added in the list. Reply
Ramdas Narayanan
Ramdas Narayanan says: September 02, 2015 at 2:57 pm
Excellent article, well laid out. Could SSRS (SQL Server Reprting services) be added here, it is used a lot in operational types of reporting and visualizations, also how about PowerBI from Microsoft? Reply
Ash
Ash says: September 02, 2015 at 3:08 pm
Thanks for sharing elaborated info graphics on Visualization/BI tools. The tool which I feel can be the part of this are as follows: 1) SAP Business Object 2) SAP Lumira 3) IBM Cognos 4) Oracle Business Intelligence Enterprise edition 5) SpotFire Reply
Ramdas Narayanan
Ramdas Narayanan says: September 02, 2015 at 3:39 pm
Very good article, nicely laid out. How about tools like PowerBI/SSRS? Reply
José
José says: September 02, 2015 at 8:12 pm
What is your opinion about start working with Qlickview? Reply
Kunal Jain
Kunal Jain says: September 03, 2015 at 4:27 am
Thanks Sergey for highlighting it. We have fixed the error. Regards Reply
Kunal Jain
Kunal Jain says: September 03, 2015 at 4:31 am
Premsankar, You are right R, Python, Gephi and the JavaScript libraries - D3.js are open source. Other tools like QlikView and MicroStrategy, Google Charts provide a free personal edition, but charge for enterprise editions. SAS provides a base version in form of a University edition. Tableau offers a public version for free, but your data will be published in open. Regards, Kunal Reply
Kunal Jain
Kunal Jain says: September 03, 2015 at 4:32 am
Thanks Hemant Reply
Kunal Jain
Kunal Jain says: September 03, 2015 at 4:36 am
Hi Glenn, Thanks for bringing it out. I have been using Neo4j for some time as well. It is indeed a powerful graph database. The reason I had not included it here was because the focus of the article is visualization and for Graph visualization Gephi provides better features and is more widely used in industry. That might obviously change in future. Regards, Kunal Reply
Kunal Jain
Kunal Jain says: September 03, 2015 at 4:37 am
Thanks Aditya....good suggestion! We will add it shortly. Reply
Kunal Jain
Kunal Jain says: September 03, 2015 at 4:40 am
Ash, The first 4 options you have mentioned are all BI tools and not necessarily for visualization. You need to create the cubes and the infrastructure to get the reports out of them. The focus of the article was to highlight tools which can be handy for data visualization independently. SpotFire should be added. Regards, Kunal Reply
Kunal Jain
Kunal Jain says: September 03, 2015 at 4:42 am
Jose, I have been using QlikView for more than 3 years now. It is a very powerful tool and can come in handy for its associative technology. You can read more about QlikView in our learning path here: http://www.analyticsvidhya.com/learning-paths-data-science-business-analytics-business-intelligence-big-data/qlikview-learning-path/ Thanks, Kunal Reply
Kunal Jain
Kunal Jain says: September 03, 2015 at 4:43 am
Thanks Ramdas. The focus of the article is data visualization and not reporting. The tools you mentioned are useful from reporting perspective. Regards, Kunal Reply
Kartik
Kartik says: September 03, 2015 at 2:15 pm
What about SPOTFIRE..? its the best tool still not there Reply
sulccc
sulccc says: September 03, 2015 at 8:54 pm
Kunal i think SAP lumira is a tipical highly sofisticated visualization tool and from that it is different from generic BI tool like ibm cognos or business object, so it should have been part of infograhic may be next time Reply
if
if says: October 06, 2015 at 6:03 am
How about Processing? Is it part of data visualization tool? Anyone? Reply

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