13A Rough DATA VISUALIZATION
Brief:Choose a data set of either quantifiable or qualifiable data, choose an appropriate chart form, and create a data visualization that has a story and 'ask' for your viewer.
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Click above to watch the video lesson for today's class. Make sure you are comfortable, or can take a break, because it is long today.
Full Instructions
1. Read the full page for today's project, and look at all the models and examples. Look up any vocabulary words that you do not know. Check out a few of the resource links at the bottom.
2. Click the button above and watch the video lesson for today. You may want to take notes, or to pause it and watch in two sections, as it is over 40 minutes long.
3. When you are asked to pause the presentation and watch Hans Rosling's '200 Years 200 Countries 4 Minutes', please click here to view that video.
4. Follow the directions at the end of the video to choose a data set and think of a conclusion you can draw from it.
Or choose a challenge (see below) and collect the data to prove it. You can even pick your own topic!
4. Pick the appropriate chart form or forms, and begin creating a rough visualization. It can be digital or hand-drawn.
2. Click the button above and watch the video lesson for today. You may want to take notes, or to pause it and watch in two sections, as it is over 40 minutes long.
3. When you are asked to pause the presentation and watch Hans Rosling's '200 Years 200 Countries 4 Minutes', please click here to view that video.
4. Follow the directions at the end of the video to choose a data set and think of a conclusion you can draw from it.
Or choose a challenge (see below) and collect the data to prove it. You can even pick your own topic!
4. Pick the appropriate chart form or forms, and begin creating a rough visualization. It can be digital or hand-drawn.
NOTE: Avoid asking questions with assumptions or bias, like
'When you drink soda, do you feel healthier or more tired?'
(since it assumes everyone you ask drinks soda) or
'How many times a day do you read your Bible?'
(this question assumes everyone you ask is a Christian and every Christian reads their Bible on a daily basis).
Also, do not mix quantifiable (numbers-based) and qualifiable (word, feeling, opinion, etc.) questions or data,
UNLESS you are going to do two different charts or compare the correlation of your data!
For example, you could ask 'how many glasses of water do you drink' and 'how do you feel after drinking water'
and show two lines on a point chart that look similar, to conclude that 'drinking more water makes us feel better'.
'When you drink soda, do you feel healthier or more tired?'
(since it assumes everyone you ask drinks soda) or
'How many times a day do you read your Bible?'
(this question assumes everyone you ask is a Christian and every Christian reads their Bible on a daily basis).
Also, do not mix quantifiable (numbers-based) and qualifiable (word, feeling, opinion, etc.) questions or data,
UNLESS you are going to do two different charts or compare the correlation of your data!
For example, you could ask 'how many glasses of water do you drink' and 'how do you feel after drinking water'
and show two lines on a point chart that look similar, to conclude that 'drinking more water makes us feel better'.
Want a different challenge? Choose a conclusion and try to find the data to prove it!
Qualitative
1. "My friends' favorite movie genres are ACTION, COMEDY, and DRAMA!" (Do a Google survey and find out what the top three genres really are.)
2. "Korean university students hate MATH, BIOLOGY, and ENGLISH the most of all academic subjects." (Again, do a Google survey and find out the truth!) 3. "The 5 best-selling Korean car colours in order are SILVER, BLACK, WHITE, GREY, and BLUE because Koreans are very conservative about colour. " (research and see if you can make your own conclusions!) 4. Come up with your own qualitative (word or concept-based) opinion and collect data to support it, then create your data vis! |
Quantitative
1. "KIMCHI consumption protects you from catching COLDS or the flu." (research: look at the data for at least five countries and compare kimchi volume vs colds per capita)
2. "Korean health care is the best in the world because it's CHEAP, FAST, and HIGH QUALITY." (Can you prove this, comparing the cost data from five countries including Korea?) 3. "We spend too much time on SOCIAL MEDIA and not enough time on our FAITH relationship." (survey friends and family about their relative time spent in hours per week) 4. Come up with your own quantitative (number-based) opinion and collect statistics to support it, then create your data vis! |
TEACHER MODELS |
STUDENT EXEMPLARS |
Here is a sample of the type of visualization you might prepare for your class task for today! You can use landscape or portrait format, and any type of chart format you think is appropriate for your data.
This graphic contains two charts, one pie chart with data collected in my classroom, and one bar chart with data from an American university in 2018. What's the 'ask'? I want to convince you that there is a link between eating breakfast and getting better grades! |
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This student didn't just make a list of ten items. She picked her favorite foods, sorted them by their flavour profile, and then came to the conclusion that her diet was both too spicy and too greasy! Maybe you'll agree if you look at her favorites.
This data vis could have a stronger 'ask', to encourage you more directly to make healthier choices as a student, but it's a great image, with an intuitive colour palette and the correct chart form (Venn Diagram) to show overlapping qualities. |
REMEMBER: your visualization needs to not just show the data in a pretty form, it must have a reason, concept, or story! What is your 'ask'? What is the lesson you want us to learn from looking at the data? What is the conclusion you have drawn from the data?
Free Resources for Creating Data Visualizations - from simplest to most complex!
https://support.google.com/docs/answer 1 Types of graphs and charts in Google Sheets
https://slidesgo.com/ Free presentation templates for Google Slides or Powerpoint, with hundreds of free icons/graphics at the end of each
10-free-tools-to-instantly-get-started-with-data-visualisation Free tools to create a data visualization - for beginners!
https://www.toptal.com/designers/data-visualization/data-visualization-tools More free tools to create data visualizations
More Examples of Data Visualization
http://www.mulinblog.com/teaching-data-visualization- recommended readings and resources
https://informationisbeautiful.net/ - hundreds of beautiful data visualizations
25-tips-to-upgrade-your-data-visualization-design - very helpful and simple advice for young designers!
http://visualizationuniverse.com/charts/ - a large list of different types of charts
https://datavizproject.com/ - even more different types of charts!
https://www.youtube.com/watch?v=jbkSRLYSojo&feature=youtu.be Hans Rosling on 200 Countries, 200 years.
https://youtu.be/ystkKXzt9Wk Aaron Koblin’s Flight Patterns over the USA
The_5_Most_influential_Data_Visualizations_Of All_Time
History of Visualization - from Babylon to Victorian times, and more
https://blog.graphiq.com/finding-the-right-color-palettes-for-data-visualizations-fcd4e707a283 Colour palettes that work
https://designeap.weebly.com/presentation-design.html Colour associations
Quantitative vs Qualitative - what's the difference and which chart form do I use?
http://www.mulinblog.com/teaching-data-visualization- recommended readings and resources
https://informationisbeautiful.net/ - hundreds of beautiful data visualizations
25-tips-to-upgrade-your-data-visualization-design - very helpful and simple advice for young designers!
http://visualizationuniverse.com/charts/ - a large list of different types of charts
https://datavizproject.com/ - even more different types of charts!
https://www.youtube.com/watch?v=jbkSRLYSojo&feature=youtu.be Hans Rosling on 200 Countries, 200 years.
https://youtu.be/ystkKXzt9Wk Aaron Koblin’s Flight Patterns over the USA
The_5_Most_influential_Data_Visualizations_Of All_Time
History of Visualization - from Babylon to Victorian times, and more
https://blog.graphiq.com/finding-the-right-color-palettes-for-data-visualizations-fcd4e707a283 Colour palettes that work
https://designeap.weebly.com/presentation-design.html Colour associations
Quantitative vs Qualitative - what's the difference and which chart form do I use?
Hint: An attractive theme will draw your viewer in, but the 'ask' (the reason, change, conclusion) is the most important aspect. Without a story and an 'ask', it's not a data visualization - it's only a chart or a picture that represents numbers. You need to have a reason for presenting this data to your viewer! Just as your essay needs a strong opinion, and your product pitch needs to sell the product, your data vis needs a conclusion that you use the numbers to support.