Data Visualization — 2020 Survey Challenge

“The Annual Data Visualization Community Survey for 2020 has responses to 50+ questions and was taken by over 1,700 people. It covers professional data visualization details like salary and hourly compensation, tool use, location, audiences, organizational structure and more.”

Raw Data are like minerals. They are readily available, and needed to mined and process for it to be useful. These public data available online, like the 2020 survey challenge, are examples of minerals that we can use in our professional and business life, and turn it to profitable information.

Providing you three (3) examples on how we can make our data useful:

Comparison between Men and Women Frustrations with Doing Data Visualization

In an institute where earning profit involves teaching/mentoring aspiring data visualization professionals, the information shown above would imply potential problems on why women are mostly frustrated on the “Lack of Collaboration/Mentorship/Advice”, “Lack of technical skill”, and “Learning new tools/approaches”. Through further study and approach, providing solution to this potential problems such as new mentoring procedures or approaches would be a great marketing platform to encourage clients for potential profit.

Profile of Data Visual Freelancer

The profile shown above can be used by Data Visualization Society to encourage more members. An aspiring Freelancer in Data Visualization would make them apply for membership upon seeing this. Either which will be beneficial for both parties, one for recruitment that may increase the overall funding of the society, and the another for a network where in they can learn and have potential clients within.

Technologies commonly Used by Employees

Companies nowadays transitions from traditional paper work to paperless transactions. Through the graph shown above, nine (9) out of ten (10) of the technologies used are software and applications to aide the employees in data visualization. Surprisingly, more than 20% of the respondents still use Pen and Paper as there tool in data visualization. This means that going fully paperless would decrease the productivity within the company potentially by 20% through the Pen and Paper user. Further discussions should be done to address first the potential problem in productivity before full implementation of paperless transactions.


Raw data have their worth, and it is up to the miners/processors on how they will turn the data into valuable information that can be used in professional or business life.




Filipino | Registered Electrical Engineer | Aspiring Data Scientist | Principal Engineer at National Transmission Corporation

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Filipino | Registered Electrical Engineer | Aspiring Data Scientist | Principal Engineer at National Transmission Corporation

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