The reading pointers below I borrowed from my Google+ microblogs “Data Visualization” ( , 7090+ followers) and “Data Visualization with Tableau” ( , 1010+ followers).

1. Is the Avoidance of 3-D Bar Graphs a Knee-Jerk Reaction?

2. A modern view of Minard’s Map:

3. Averages Aren’t What They Used to Be and Never Were

4. 6 questions with Burn-Murdoch:

5. Visart’s Demos:

6. Can We Trust Salesforce for Business in the Cloud?

7. Pump Up Your Bump with Ranked Bars

8. Dashboard Improvement Opportunities – Surface Observations

9. New in Tableau 9.3:




10. Persuasion?

11. How Tableau Built a $3 Billion Data Empire On Top Of Beautiful Charts:

12. Tableau plus HyPer: “Something up their sleeve”


13. DV and mapping:

14. DV Digest for March 2016:

15. Farewell:

16. Wolfram about himself:

17.David Raab about SAS:

18. Dimensionality Reduction:

19. More about color:

20. New in Spotfire 7.5:



21. 37 QLIK blogs:

22. Text Tables:

23. 167 years ago:

24. QlikSense 3.0:

25. Pareto:

26. Tableau 10:



and cross-DB filtering:

and cross-DB joins:

27. Qonnection 2016:

28. Tableau tips:


29. Directional Lollipops:

30. Oracle DV Desktop:




31. Tile Maps:

32. Trillion Rows:

33. Power BI is trying hard:

34. Advizor Solutions Overview ( ):

Data Visualization Readings, Q1 2014, selected from Google+ extensions of this blog: and


Data Visualization Index (using DATA+QLIK+TIBX+MSTR; click on image above to enlarge):
Since 11/1/13 until 3/15/14: DATA stock grew 50%. QLIK 11%, MSTR – 6%, TIBX – lost 1%.
Current Market Capitalization: Tableau – $5.5B, QLIK – $2.6B, TIBCO – 3.5B, Microstrategy – $1.4B
Number of Job Openings Today: Tableau – 231, QLIK – 135, Spotfire (estimate) – 30, Microstrategy – 214
However during last 2 weeks of March of 2014 DATA shares lost 24%, QLIK lost 14%, TIBX and MSTR both lost about 10%

Why use R? Five reasons.

Studying Tableau Performance Characteristics on AWS EC2

Head-to-head comparison of Datawatch and Tableau

Diving into TIBCO Spotfire Professional 6.0

TIBCO beats Q1 2014 estimates but Spotfire falters

Qlik Doesn’t Fear Tableau, Oracle In Data Analytics

Best of the visualisation web… February 2014

Datawatch: ‘Twenty Feet From Stardom’

Tableau plans to raise $345M — more than its IPO — with new stock offering

TIBCO Spotfire Expands Connectivity to Key Big Data Sources

Tableau and Splunk Announce Strategic Technology Alliance

The End of The Data Scientist!?


Data Science Is Dead

Periodic Table of Elements in TIBCO Spotfire

Best of the visualisation web… January 2014

Workbook Tools for Tableau

Tapestry Data Storytelling Conference ReadingLogo

URL Parameters in Tableau

Magic Quadrant 2014 for Business Intelligence and Analytics Platforms

What’s Next in Big Data: Visualization That Works the Way the Eyes and Mind Work

What animated movies can teach you about data analysis

Tableau for Mac is coming, finally

Authenticating an External Tableau Server using SAML & AD FS

Visualize this: Tableau nearly doubled its revenue in 2013

Qlik Announces Fourth Quarter and Full Year 2013 Financial Results


Tableau Mapping – Earthquakes, 300,000,000 marks using Tableau 8.1 64-bit

Data Science: What’s in a Name?

Gapminder World Offline

Advanced Map Visualisation in Tableau using Alteryx

Motion Map Chart

One of Bill Gates’s favorite graphs redesigned

Authentication and Authorization in Qlikview Server

SlopeGraph for QlikView (D3SlopeGraph QlikView Extension)

Revenue Model Comparison: SaaS v. One-Time-Sales

Scientific Data Has Become So Complex, We Have to Invent New Math to Deal With It

Posting data to the web services from QlikView

It’s your round at the bar

Lexical Distance Among the Languages of Europe


Data Visualization readings – last 4 months of 2013.

(time to read is shrinking…)

0. The Once and Future Prototyping Tool of Choice

1. Block by Block, Brooklyn’s Past and Present

2. Data Visualization and the Blind


4. Old Charts

5. Back To Basics

6. In-Memory Data Grid Key to TIBCO’s Strategy

7. Submarine Cable Map

8. Interview with Nate Silver:

9. Qlikview.Next will be available in 2014

10. Importance of color?

11. Qlikview.Next has a gift for Tableau and Datawatch

12. (October 2013) Tableau posts 90% revenue gain and tops 1,000 staffers, files for $450 million secondary offering

13. The Science Of A Great Subway Map

14. SEO Data Visualization with Tableau

15. John Tukey “Badmandments”

Supplementary BADMANDMENTS:

  • 91. NEVER plan any analysis before seeing the DATA.
  • 92. DON’T consult with a statistician until after collecting your data.
  • 94. LARGE enough samples always tell the truth

16. Thinking about proper uses of data visualization.

17. Big BI is Stuck: Illustrated by SAP BusinessObjects Explorer

18. IBM (trying to catch up?) bets on big data visualization

19. Site features draft designs and full views of the Treemap Art project (By Ben Shneiderman)

20. A Guide to the Quality of Different Visualization Venues

21. Short History of (Nothing) Data Science

22. Storytelling: Hans Rosling at Global Health – beyond 2015

23. DataWatch Quarterly Review: Rapid Growth Finally Materializing

24. QlikView Extension – D3 Animated Scatter Chart


25. SlopeGraph for QlikView (D3SlopeGraph QlikView Extension)

26. Recipe for a Pareto Analysis

27. Color has meaning

28. TIBCO’s Return To License Growth Frustratingly Inconsistent

29. Automated Semantics and BI

30. What is wrong with definition of Data Science?

31. Scientific data became so complex, we have to Invent new Math to deal with it

32. Samples

Selected Tableau Readings after TCC13 (since September 18, 2013)

sometimes reading is better then doing or writing…

0. Top 10 sessions from TCC13:

1. Dual Color Axis:

2. Evaluate models with fresh data using Tableau heat maps:

3. Tableau Throws a Brick at Traditional BI:

4. Easy Empty Local Extracts:

5. Tableau 8.1: Sophisticated Analytics for Sophisticated People:

6. Tableau 8.1 and R (can be interesting for at least 5% of Tableau users):
also see:
and here:

7. Tableau, When Are You Going to Fix This?

8. Automated PDF Email Distribution of Tableau Views Using PowerShell and Tabcmd:

9. Geocoding Addresses Directly in Tableau 8.1 Using Integration with R:

10. Best Practices for Designing Efficient Workbooks (and white Paper about it):

11. Tableau Mapping Architecture:

12. Story Points in Tableau 8.2 presentation mode:

13. Truly Global: Filtering Across Multiple Tableau Workbooks with the JavaScript API:

14. Tableau 8.1 Worksheet, Dashboard menus improved, still room for more:

15. Lollipops Charts in Tableau:

16. Was Stephen Few Right?

17. Precision Inputs Required In Addition To Analog Controls:

18. Google Spreadsheets to Tableau connector – a working driver:

19. Leveraging Color to Improve Your Data Visualization:

20. Workbook acts as a container for multiple Tableau-based Charts – 114
Samples and Visualization Types:

21. The New Box-and-Whisker Plot:

22. The Tableau Workbook Library:

23. Customizing Tableau Server Experience (Parts 1, 1.5, 2):

24. SAML Integration in Tableau 8.1:

25. Tableau file types and extensions:

26. Tableau Server XML Information Files: The Master Class:

27. Is it Transparency? Is it Opacity? Labeled one, works like the other:

28. Viz Hall of Fame:

29. Tableau Weekly Archive:

30. 2013 Winners:
Happy New Year!

While blog preserving my observations and thoughts, it preventing me to spend enough time to read what other people thinking and saying, so I created almost 2 years ago the extension of this blog in the form of 2 Google+ pages and , where I accumulated all reading pointers for myself and gradually reading those materials when I have time.

Those 2 pages magically became extremely popular (this is unintended result) with total more than 5000 Google+ followers as of today. For example here is a Chart showing monthly growth of the  number of followers for the main extension of this blog :


So please see below some samples of Reading Pointers accumulated over last 3 months of summer by my Google+ pages:

Author trying to simplify BigData Definition as following: “BigData Simplified: Too much data to fit into a single server”:

Recent talk from Donald Farmer:

Dmitry pointing to implementation Disaster of Direct Discovery in Qlikview 11.2:

Specs for Tableau in Cloud:

The DB-Engines Monthly Ranking ranks database management systems according to their popularity. Turned out that only 3 DBMSes are popular: Oracle, SQL Server and MySQL:

According to Dr. Andrew Jennings, chief analytics officer at FICO and head of FICO Labs, three main skills of data scientist are the same 3 skills I tried to find when hiring programmers for my teams 5, 10, 20 and more years ago: 1. Problem-Solving Skills. 2. Communications Skills. 3. Open-Mindedness. This makes all my hires for last 20+ years Data Scientists, right? See it here:

A study finds the odds of rising to another income level are notably low in certain cities, like Atlanta and Charlotte, and much higher in New York and Boston:

Tableau is a prototyping tool:

Why More Data and Simple Algorithms Beat Complex Analytics Models:

New Census Bureau Interactive Map Shows Languages Spoken in America:

Google silently open sourced a tool called word2vec, prepackaged deep-learning software designed to understand the relationships between words with no human guidance. It actually similar to known for a decade methods called PLSI and PLSA:

“Money is not the only reward of education, yet it is surely the primary selling point used to market data science programs, and the primary motivator for students. But there’s no clear definition of data science and no clear understanding of what knowledge employers are willing to pay for, or how much they will pay, now or in the future. Already I know many competent, diligent data analysts who are unemployed or underemployed. So, I am highly skeptical that the students who will invest their time and money in data science programs will reap the rewards they have been led to expect.”:

Some good blog-posts from InterWorks:

Technique for using Tableau data blending to create a dynamic, data-driven “parameter”:

More about Colors:

Russian Postcodes are collected and partially visualized:

EXASolution claims to be up to 1000 times faster than traditional databases and the fastest database in the world – based on in memory computing.

web interest to Tableau and Qlikview:

I got many questions from Data Visualization Blog’s visitors about differences between compensation for full-time employees and contractors. It turned out that many visitors are actually contractors, hired because of their Tableau or Qlikview or Spotfire skills and also some visitors consider a possibility to convert to consulting or vice versa: from consulting to FullTimers. I am not expert in all these compensation and especially benefits-related questions, but I promised myself that my blog will be driven by vistors’s requests, so I google a little about Contractor vs. Full-Time worker compensation and below is brief description of what I got:

Federal Insurance Contribution Act mandates Payroll Tax splitted between employer (6.2% Social Security with max $$7049.40 and 1.45% Medicare on all income) and employee, with total (2013) as 15.3% of gross compensation.


In addition you have to take in account employer’s contribution (for family it is about $1000/per month) to medical benefits of employee, Unemployment Taxes, employer’s contribution to 401(k), STD and LTD (short and long term disability insurances), pension plans etc.

I also added into my estimate of contractor rate the “protection” for at least 1 month GAP between contracts and 1 month of salary as bonus for full-time employees.


Basically the result of my minimal estimate as following: you need to get as a contractor the rate at least 50% more than base hourly rate of the full-time employee. This  base hourly rate of full-time employee I calculate as employee’s base salary divided on 1872 hours: 1872 = (52 weeks*40 hours – 3 weeks of vacation – 5 sick days – 6 holidays) = 2080 hours – 208 hours (Minimum for a reasonable PTO, Personal Time Off) = 1872 working hours per year.

I did not get into account any variations related to the usage of W2 or 1099 forms or Corp-To-Corp arrangements and many other fine details (like relocation requirements and overhead associated with involvement of middlemen like headhunters and recruiters) and differences between compensation of full-time employee and consultant working on contract – this is just a my rough estimate – please consult with experts and do not ask me any questions related to MY estimate, which is this:

  • Contractor Rate should be 150% of the base rate of a FullTimer

RS-COLLEGE LOAN SCAMS low resIn general, using Contractors (especially for business analytics) instead of Full-timers is basically the same mistake as outsourcing and off-shoring: companies doing that do not understand that their main assets are full-time people. Contractors are usually not engaged and they are not in business to preserve intellectual property of company.

For reference see Results of Dr. Dobbs 2013 Salary Survey for Software Developers which are very comparable with salary of Qlikview, Tableau and Spotfire developers and consultants (only in my experience salary of Data Visualization Consultants are 10-15% higher then salaries of software developers):


This means that for 2013 the Average rate for Qlikview, Tableau and Spotfire developers and consultants should be around 160% of the base rate of a average FullTimer, which ESTIMATES to Effective Equivalent Pay to Contractor for 1872 hours per Year as $155,200 and this is only for average consultant... If you take less then somebody tricked you, but if you read above you already know that.



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