A run-through of how I built my 'Draw your own' viz for the Bob Ross Makeover Monday - 2020 week 50. Lots of parameter actions and a few chunky calculated fields. Tagged #drawing with tableau, #makeovermonday, #parameter actions, #tableau Leave a comment. Mar 13, 2018 Makeover Monday is a weekly social data project, hosted by Andy Kriebel and Eva Murray, with a goal to inspire the data viz community to learn from each other and improve their data skills. Each Sunday, the team posts a link to a chart and data set.
All the data sets for 2021. Join us every week for new exciting data challenges.
All the data sets for this year 2021. Join us every week for new exciting data challenges.
- Continue reading Tableau Monday Makeover January 29, 2018 – What the Most Profitable Companies Make Per Second Posted on January 31, 2018 February 24, 2018 Categories Data / Data Science, Tableau Tags Monday Makeover, Tableau, Tableau Public.
- Today (Friday, October 27th) marks my 1 year anniversary on Tableau Public! Makeover Monday is what initially drew me to start publishing things on Tableau Public, and the first data set I published was based on the Pulse Nightclub shooting in Orlando Florida. Obviously, this wasn’t the first time I used Tableau, but it was.
|Week||Date||Data||Viz Review||Watch Me Viz||Source Article/Visualization|
|1||04.01.2021||LINK||LINK||The great bicycle boom of 2020|
Data Source: Rails•to•Trails (Chart in spreadsheet)
|2||11.01.2021||LINK||LINK||LINK||Viz5: Gender Inequality in HIV Infections in Adolescents|
Data Source: UNICEF
|3||18.01.2021||LINK||LINK||LINK||What’s Really Warming the World?|
Data Source: NASA Goddard Institute for Space Studies
Credits: Eric Roston (@eroston) and Blacki Migliozzi (@blackili)
|4||25.01.2021||LINK||LINK||LINK||Indian Coal Mine Location and Production|
Required Citation: Sandeep Pai and Hisham Zerriffi. A novel dataset for analysing sub-national socioeconomic developments in the Indian coal industry, IOPSciNotes, https://doi.org/10.1088/2633-1357/abdbbb
Data Source: Sandeep Pai and Hisham Zerriffi via Harvard Dataverse
|5||01.02.2021||LINK||LINK||LINK||Renewables Overtake Fossil Fuels in Europe|
Data Source: Ember
|6||08.02.2021||LINK||LINK||LINK||Viz5: Perceived Obstacles to Gender Equality|
|7||15.02.2021||LINK||LINK||LINK||What’s the point of Valentine’s Day?|
Data Source: Statista
|8||22.02.2021||LINK||LINK||LINK||Protests Against Limiting Abortion Rights in Poland|
Data Source: Ogólnopolski Strajk Kobiet @strajkkobiet • Prepared by Hania Nykowska @hanykowska
|9||29.02.2021||LINK||LINK||LINK||Seats Held by Women in National Parliaments and Governments|
Data Source: Eurostat
|10||07.03.2021||LINK||LINK||LINK||International Women’s Day: IOC Hits New Record with 47.7% Women|
Data Source: International Olympic Committee
|11||14.03.2021||LINK||LINK||LINK||What is the World’s Biggest Cash Crop?|
Data Source: FAOSTAT
|12||21.03.2021||LINK||LINK||LINK||The Cereal Industry Had A Very Weird Year|
DATA SOURCE: Bureau of Economic Analysis
|13||28.03.2021||LINK||LINK||LINK||Exports to EU plunge by 40% in first month since Brexit|
DATA SOURCE: ONS (UK trade: goods and services publication table 14)
£ million, Seasonally Adjusted
|14||04.04.2021||LINK||LINK||LINK||Multiclass Classification of Dry Beans|
DATA SOURCE: UCI Machine Learning RepositoryCitation Request:
KOKLU, M. and OZKAN, I.A., (2020), “Multiclass Classification of Dry Beans Using Computer Vision and Machine Learning Techniques.” Computers and Electronics in Agriculture, 174, 105507.
|15||11.04.2021||LINK||LINK||LINK||Fouls Called Game by NBA Referees|
Data Source: The Unofficial NBA Ref Ball Database
|16||18.04.2021||LINK||LINK||LINK||US Air Travel Falls Due to Covid Epidemic|
Data Source: Bureau of Transportation Statistics
|17||25.04.2021||LINK||LINK||LINK||Regional Price Parity For Each State|
Data Source: U.S. Bureau of Economic Analysis
|18||02.05.2021||LINK||NONE||LINK||CEO-to-Worker Compensation Ratio|
Data Source: Economic Policy Institute
|19||09.05.2021||LINK||NONE||LINK||What Does 1GB of Mobile Data Cost in Every Country?|
Data Source: Visual Capitalist
Suggested by: Danny Bradley @vizwithdan
|20||16.05.2021||LINK||NONE||LINK||What animal could you beat in a fight?|
Data Source: YouGov
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#MakeoverMonday offers inspiration and a dose of perspective for those who communicate data.
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Join us every Monday to work with a given data set and create better, more effective visualizations and help us make information more accessible.
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Check what happens each day and where to go to participate, submit and meet others.
3 Steps to your perfect #MakeoverMonday submission
Participating in #MakeoverMonday is simple. With this project being run globally across all timezones, dozens of countries, with people at various levels of experience and expertise, we want to ensure everyone is successful and gets the most out of their weekly visualization practice.
That’s why we encourage everyone to stick to the guidelines we share here; this makes your weekly practice more effective and helps us grow this community for the benefit of everyone.
Tableau Public Makeover Monday Night
Use these 3 simple steps (plus 2 optional ones if you like) to submit a great visualization and become part of this community.
If you are ready to take your visualizations to the next level, use this helpful checklist before you publish. It is a reminder for all those small things like spell-checking your work, making sure everything is formatted and aligned, and that your colors work well together.
We are extremely proud to work with these amazing partners.