Infographic: Data Visualization Tools For Data scientists & analysts

Kunal Jain 11 Dec, 2015 • < 1 min read

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

P.S. Online Data Hackathon 3.x coming up on 5th & 6th September. Register now

If you like what you just read & want to continue your analytics learning, subscribe to our emailsfollow us on twitter or like our facebook page.

Kunal Jain 11 Dec 2015

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.

Frequently Asked Questions

Lorem ipsum dolor sit amet, consectetur adipiscing elit,

Responses From Readers

Clear

Sergey Vlasov
Sergey Vlasov 02 Sep, 2015

You need to fix it - one of those libraries called Raphael, not Rapheal!

Premsankar Chakkingal
Premsankar Chakkingal 02 Sep, 2015

How many of these tools are in open source domain ? I know R , python and Gephi are open ..what about others ?

hemanth
hemanth 02 Sep, 2015

A straight picture of perfection, just what we need is delivered :) :) Wonderful :D

NIKHIL
NIKHIL 02 Sep, 2015

Hi Kunal What about SAP Lumira? Regards Nikhil

Glenn Ticket
Glenn Ticket 02 Sep, 2015

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.

Ramireddy
Ramireddy 02 Sep, 2015

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.....

Aditya
Aditya 02 Sep, 2015

TIBCO Spotfire is worth to be added in the list.

Ramdas Narayanan
Ramdas Narayanan 02 Sep, 2015

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?

Ash
Ash 02 Sep, 2015

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

Ramdas Narayanan
Ramdas Narayanan 02 Sep, 2015

Very good article, nicely laid out. How about tools like PowerBI/SSRS?

José
José 02 Sep, 2015

What is your opinion about start working with Qlickview?

Kartik
Kartik 03 Sep, 2015

What about SPOTFIRE..? its the best tool still not there

sulccc
sulccc 03 Sep, 2015

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

if
if 06 Oct, 2015

How about Processing? Is it part of data visualization tool? Anyone?

Related Courses

image.name
0 Hrs 36 Lessons
4.97

Top Data Science Projects for Analysts and Data Scientists

Free

  • [tta_listen_btn class="listen"]