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Aspasia Daskalopoulou
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  • London
  • United Kingdom
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Siying Huang liked Aspasia Daskalopoulou's blog post "Play your charts right:" An Illustrated Collection of Mistakes People Often Make When Visualizing Data
Jul 28
Raghvendra Shukla liked Aspasia Daskalopoulou's blog post "Play your charts right:" An Illustrated Collection of Mistakes People Often Make When Visualizing Data
Jul 22
Kishore Chavali liked Aspasia Daskalopoulou's blog post "Play your charts right:" An Illustrated Collection of Mistakes People Often Make When Visualizing Data
Jul 14
Srinivas Bavisetty liked Aspasia Daskalopoulou's blog post "Play your charts right:" An Illustrated Collection of Mistakes People Often Make When Visualizing Data
Jul 12
Tim Matteson liked Aspasia Daskalopoulou's blog post "Play your charts right:" An Illustrated Collection of Mistakes People Often Make When Visualizing Data
Jul 11
Tom Bransby liked Aspasia Daskalopoulou's blog post "Play your charts right:" An Illustrated Collection of Mistakes People Often Make When Visualizing Data
Jul 10
Tom Bransby liked Aspasia Daskalopoulou's blog post "Play your charts right:" An Illustrated Collection of Mistakes People Often Make When Visualizing Data
Jul 10
Aspasia Daskalopoulou posted a blog post

"Play your charts right:" An Illustrated Collection of Mistakes People Often Make When Visualizing Data

In a world where data really matters, everyone wants to create effective charts. But data visualization is rarely taught in schools, or covered in on-the-job training. Most of the people learn as they go along, and therefore they often make choices or mistakes that confuse and disorient their audience.From overcomplicating or overdressing their charts, to conveying an entirely inaccurate message, there are common design pitfalls that can easily be avoided. Together with my team, we put together…See More
Jul 10
Aspasia Daskalopoulou's blog post was featured

"Play your charts right:" An Illustrated Collection of Mistakes People Often Make When Visualizing Data

In a world where data really matters, everyone wants to create effective charts. But data visualization is rarely taught in schools, or covered in on-the-job training. Most of the people learn as they go along, and therefore they often make choices or mistakes that confuse and disorient their audience.From overcomplicating or overdressing their charts, to conveying an entirely inaccurate message, there are common design pitfalls that can easily be avoided. Together with my team, we put together…See More
Jul 10
Aspasia Daskalopoulou updated their profile
Jul 6

Profile Information

Short Bio
Aspasia is a data science writer at Geckoboard, a technology company that makes data approachable and understandable with easy-to-understand TV dashboards. She is an experienced science journalist and communicator. She has over 10 years of experience in this field, working for newspapers, documentary production companies, scientific research centres, among other positions. She studied environmental science at the University of the Aegean in Greece, she completed her master’s degree in Science and Medical Journalism at Boston University’s College of Communications in the USA and she has recently completed a course in Data Journalism at Columbia University.
My Web Site Or LinkedIn Profile
http://https://www.linkedin.com/in/aspasia-daskalopoulou-a130338/
Field of Expertise
Data Science, Machine Learning
Professional Status
Other
Years of Experience:
10
Your Company:
Geckoboard
Industry:
Saas
Your Job Title:
Data Science Writer
How did you find out about DataScienceCentral?
colleague
Interests:
Contributing, Networking

Aspasia Daskalopoulou's Blog

"Play your charts right:" An Illustrated Collection of Mistakes People Often Make When Visualizing Data

Posted on July 6, 2018 at 10:06am 0 Comments

In a world where data really matters, everyone wants to create effective charts. But data visualization is rarely taught in schools, or covered in on-the-job training. Most of the people learn as they go along, and therefore they often make choices or mistakes that confuse and disorient their audience.…

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