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Week 17

Goodbye!

The Wrap Up Video

Here is an overview of all the visualizations all of you made!
(We are still waiting for some, which we will post here as soon as we receive them!)

Afrah Usman, Plastic Waste
Afrah made a very interesting project on the use of single-use plastics and plastic recycling in Canada. Not only did she do excellent research on the topic but she also got her hands dirty by collecting personal data! She documented her single-use plastic consumption for one week and visualized it in her final piece.

Check out Afrah’s Notion page and presentation:
https://www.notion.so/Project-Documentation-Page-d1847d374d4a4b37bf97171c1eec9640

Presentation: https://docs.google.com/presentation/d/13WO6bbl8d3Ge5fKsIlCqmufJZZMilTnOLVLExpHYU3Q/edit?ts=60afaa51#slide=id.p

Alenka Gucek and Mariana Avila, Emotions felt during Covid pandemic
Alenka en Mariana dealt with one one of the hardest topics to visualise: how do people feel? How do you capture emotions in a data visualization? Not only did they tackle this design problem but they managed to work closely together as an international team despite the timezone difference between Mexico and Sweden. What a great collaboration!



Check out all the cool experiments and visualizations they made in their presentation:
https://docs.google.com/presentation/d/1BjAbc_vU5b6oB-ppfpuBHvRoV1dWVw555niQK1JFBDk/edit#slide=id.gd7f7966329_0_19

Florian Wendler, Clemens Sonntagbauer, stress and anxiety during Covid pandemic
Florian and Clemens handled a very interesting topic: feelings of stress and anxiety during the pandemic. The stats they made are super clear and show how stress related feelings increased heavily during the last year that was dominated by Covid. You take one look at their visuals and see in one glance what’s the situation.


You can find all the visualisations they made here: https://drive.google.com/file/d/1eQsdCgssl7bHc6aLo4QaVzOZFIYPoNDT/view?usp=sharing

Robert Maksim and Sarah Marandi, Gender Pay Gap
Robert and Sarah didn’t stick to the first version of the data visualization that they made about the difference in salary and income between men and women In Europe. As true designers they tried out different chart types, color schemes and presentation modes. The results are interesting visualizations made in Tableau with a strong focus on the outliers.

Explore the gender pay gap in European countries through these different visualisations:
https://drive.google.com/file/d/1ALVZRXEjmOonc4gTMbebK-Y-ChZUyDbe/view?usp=sharing

Paul & Simon Hartlmaier, Antonia Thurner, Philipp Wöckinger, Homelessness
Here are some real Tableau masters! It’s so cool how these students made different graphs to shed light on the topic of homelessness in Austria and the USA. They managed not only to get across the topic, but also the difficulty of measuring and comparing homelessness in different places in the world. They took a deep dive into the data and included their findings about the quality of the data and collection methods in the visualization.

 


Duke Mairura, childbirth in hospitals in Nairobi
Duke collected experiences and data about giving birth in Nairobi. A topic that he never discussed before with women from his community. He said he was amazed by the stories he heard about giving birth, something that’s so common and universal in our world but feels unique to the mother.

https://www.dropbox.com/scl/fi/6jhz15ixefdstjncxw693/Page-Documentation.paper?dl=0&rlkey=icxk0u4punoa960l3tyd2bufm

Farah El-Gergawi,
Documentation page: https://docs.google.com/document/d/1br_mBvsZK3BGT0CYuPuqSF643ZPnorGM0Qp7CbM_dFA/edit

Farah did some great research into a topic that is quite sensitive in certain communities. We were very impressed by how invested she was in this issue. In Farah’s own words:
“After learning more about this topic of research, I think that every young female should know what their body will be going through and that they are well educated on that subject so that their judgement can’t be altered without their consent. Having this much more knowledge allows me to mentally and physically prepare myself.  I have gained a new level of respect for all mothers out there. I would have never thought that this much pain and effort would be needed during birth.”
We are glad Farah addressed these issues that are often not spoken about! We also appreciated all the different ways she processed the data e.g. as in this “comment-cloud”:


Jo-Ann Bui, 
https://www.notion.so/Jo-Ann-s-Project-Documentation-Page-3a24c0b8fc9f47d585fb6e7cc4d1764c
This data visualization is one to explore! The topic itself is very interesting and Jo-Ann did her own research by setting up a thorough survey (which we find impressive!) and existing studies. The visualization needs some investment by the viewer, but taking the topic into consideration this works very well. We need more creative ways like these to represent data this way, where viewers need to focus and understand the numbers better, and create ways to understand the behaviors behind the numbers.

Lisa-Maria Germ, Moritz Schnölzer, Mike Wachter
We really liked the way you used Tableau and discover NO correlation between the use of devices and a more active/healthier life 😅 We would have loved to see how you would take this to a next level, if you had more (recent) data. All in all this research made us really curious.

https://lisa-maria-germ.gitbook.io/health-tracking-with-smartwatches-fitnesswatches/visualisation

Aline Isidro, celebrating birthdays during Covid-19
Aline made a festive visualization about a cultural topic that is interesting for everyone: celebrating your birthday. She did an extensive survey about the celebration and experience of birthdays during Covid in Mexico. The visual design is very well executed: great lay-out, use of colors and typography. It makes the piece a fun whole. 

Mariana Badillo, Dancing during Covid-19
Mariana’s datavisualization is the only one that made us want to dance! Maybe it’s the lack of dancing we suffered during COVID-19 or is it that the way she designed this is so playful? We clearly recognize Mariana’s love for alternative approaches in the way she looked at Giorgia Lupi’s work. Great job and keep on dancing! 🕺🏿


Documentation:
https://www.notion.so/Project-Documentation-801599aec3eb4e69984ec2750f97faef

Tania Cabrera
We loved this well worked-out sophisticated datavis! Not one for easy consuming, it invites the viewer to dive into the subject and learn about the topic of bullying and its effects. A very specific way of coding and decoding inspired by Giorgia Lupi and Stefani Posavec, and therefore this exploratory visualization is the more powerful. The legend is very clear and because it is on top of the page, it is a way into reading the data. This project needs more data, because we want more! Well done Tania! 👏🏼



Oscar Hernandez
Oscar did  not only make an impressive data visualization, he made a piece of art! His visualisation is highly explorative and shows the emotional LGBTTTIQ+ community in México COVID-19 pandemic.

Oscar wanted to handle the data of each person with the care and respect every human being deserves. His way of working pays off in the end result: a carefully crafted and beautiful visualization that reflects the lives and feeling of real people.

For a high res version of the visualisation, please see: https://drive.google.com/file/d/125T7KVNKK85kZHlEzjbhz6ZVMhVUdKPg/view?usp=sharing

Also you can look at the diagram Oscar made for the survey, which is the basis for the viisualisation:
https://miro.com/app/board/o9J_lIfZR44=/

Ashley Rivera, childbirth during pandemic
Documentation: https://www.dropbox.com/scl/fi/v9on8ufs7x1ve0q0f1b7p/Project-Documentation-Page.-Child-Birth.-Group-D..paper?dl=0&rlkey=bqgf0iushuqgz8190whlrei3p

Ashley made a beautiful overview about childbirth and pregnancy during the pandemic. We especially liked the quotes from the women, which make this infographic very personal, as does the silhouette of the pregnant woman. The fact that fewer babies were born in the world during the pandemic due to uncertainty is insightful, but also we tend to forget that the pandemic had a huge impact on women who were pregnant.


Shani Perea Hicks, Eileen en Wilber, Garden of Friendship
These three Mexican students made such a wonderful project about a topic everyone can relate to: friendship. It shows how people form different countries experienced and cultivated their friendships during the Covid Pandemic: did they lose friends? How much time did they spend on their friendships? Is there a difference in countries? The result is a very elegant piece that contains so much information and variables with just simple shapes. It proves how Eileen, Shani and Wilber master the art of visual encoding!


If you want to explore the friendship gardens of different countries and people, have a look at the final piece: https://drive.google.com/file/d/1H4H3C4SLRCLqPdKCcwQ3MSJZPbMptnLM/view?usp=sharing


Fikha Adelia
If there is one thing we like to know more about in a cross-cultural way, it’s FOOD! And Fikha took every single angle you can think of to do this great research and turn it into a very entertaining information-filled story. From slurping noodles in Japan to the fact that most people like to try out new things. We are eagerly waiting for the hand drawn portrait of Guy Fieri. 😉 This was a very jummy project!



https://www.notion.so/Fikha-s-Project-Documentation-Page-61a501c8eab8425b97ef2e4a6ca1232f

Elyse Kelly
Another visualization about a topic that is underexposed. And what a good job Elyse did! In a very clear and accessible way this infographic tells us about home births and midwifery. Also,  thorough research and a great survey makes this an impressive project! We learned a lot of new things here. 👶

Documentation: https://elyse-kelly.gitbook.io/home-births-midwives/

Olivia Hobbie & Jenny Leitmann

Project documentation page:
https://docs.google.com/document/d/1eKwkFhIReUS2nBC2zgpYiC1_lNgh3TmPaSUhVR7-gF4/edit#

Cadence Tan, Youth Homeless – in Toronto, Canada
Cadence made a project with her heart about homeless youth in Toronto, Canada. Her project is more then a data visualisation, it’s a complete website with graphs, research findings and stories Cadance collected at local shelters in her neighbourhood. She talked in her presentation about ‘humbling data’: data that makes us realize how fortunate we are and that we should always strive for helping people who need support the most.


Check out the website:
https://cadancetan.wixsite.com/youth-homeless

Taylor Ball, Andrea Auer, Sydney Garden – Greeting habits during COVID
https://crosscultural-ndz4446.slack.com/files/U01GU3M8FD5/F023S7F2TB3/greetingsprecovid_duringcovid_auer_ball_garden.pdf
In stylish colors this datavis shows us the way we changed our behavior during COVID-19. It made us wonder about the different cultures in the CCDL project, and the way people greet each other around the globe! We loved the way Taylor, Andrea and Sydney turned hard numbers into playful visuals about human contact. 👋🏼
Zie ook .pdf in mapje

Nina Krenn, Thomas Lorenz, Manuel Brankl, Fabian Laresser

https://www.notion.so/Project-Documentation-14e0b169b8804554995f75cabc5e962d


Phillip Huynh, Florian Lachmayr, Jürgen Höglinger
Europe´s migration crisis in 2015

https://www.notion.so/Project-Documentation-a78b21064161463c9535f9ff45dad3fd

Felix von Rönne, Matteo Petrisic, Tobias Hollnsteiner
The mental health of german children and adolescents

Project documentation page: 
https://www.notion.so/Project-Documentation-Page-ad491f59559e4416b5353f44ec847956

Eyob Westerik, Catch your Crime Profile
Eyob made an application that’s actually working and you can test yourself! The application is a predictive policing system, like the police in the Netherlands use to predict the likeliness that someone committed a crime. 

Scan your face and see how your facial features are represented within the dutch crime data. Your crime profile will be based on machine learning algorithms and historical crime data. With his project Eyob wants to raise awareness about biases in predictive policing systems.  

Try it for yourself here: https://catchyourcrimeprofile.netlify.app/
On Eyob’s project documentation page you can read about the design process: https://eyobdejenewesterink.gitbook.io/ccdl/

Nick Meijer, Women and water
Nick made a project that teaches us a great deal about the heavy circumstances under which women and girls have to fetch water in Niger, by comparing our own water collection with that of Niger. Through a fantastic storytelling structure in his website, Nick confronts us with data, numbers and information about the clean water problem in Niger and the impact it has on the lives of women and girls.

https://countnick.github.io/women-and-water/

Eva Janssen
Blown away by Eva Janssen’s beautifully illustrated website! Eva guides us through the information in a scrolly-telling way, and this works so well! Very interesting insights and playful interaction makes you want to dive deeper into the subject. A perfect way to tell the story of inequality between genders.


https://designedformen.nl/

Iris Los
Who doesn’t like walking? Well if you don’t, you will after using the app Iris designed. The app captures your walking data, stimulates you with gamification and presents this in a very playful, beautifully illustrated way.


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Week 16

The End Is Near!

Dear students!
We are reaching the end of our project. Next week we will have final presentations. Please, book a spot for your final presentation in this schedule:
https://bit.ly/3x9WSX0

Some inspiration: International coach and data designer Inbal Rief made a couple of weeks ago a beautiful data visualisation with some of the data from the CCDL survey:
https://crosscultural-ndz4446.slack.com/archives/C01F1TW9A3V/p1618823510106000


On this Miroboard you can explore her design proces, the way she worked and the tools she used: https://miro.com/app/board/o9J_lIxGeEI=/

We updated the datasheet from this survey. If you are using some of these data in your project, check it out, there are 65 respondents and plenty of data te visualize: https://docs.google.com/spreadsheets/d/1NjVlLQ06gFQviGHDtJHojVTHxRViQ0SIXD6WwCV0qts/edit?usp=sharing

If you like, you could use this checklist to see if your visualization is ready to share with the world and how you could improve it:

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Week 15

Notes on visual details and finalizing your data visualization project

It was great to see many of you at the preliminary presentations. At this point, you are probably busy designing your data visualisation. These are some resources that could help you with the design and the visual part of your data visualisation:

Some resources for designing your datavis
An article from Kontinentalist, explaining how they handle the design process of a data story. It’s full of handy references to resources:
https://medium.com/kontinentalist/how-i-write-data-driven-stories-89c849a79403

One of the issues you’ll come across is how to make use of color. Some resources specific on color in data visualisation:
https://medium.com/nightingale/how-to-choose-the-colors-for-your-data-visualizations-50b2557fa335

On Andy Kirk’s website you can find this extensive blog series about the little visual details of a datavis. Andy covers all kinds of topics, you can search for what you like to know more about:
Andy Kirk’s ‘The little of visualisation Design’
https://www.visualisingdata.com/2016/03/little-visualisation-design/

Final Presentations
Final Presentations on May 27 and 28!
If you haven’t done this, you can sign in for a spot: https://bit.ly/3x9WSX0


Guidelines for publishing your finalized project

  • Think about annotation:
    Give your Data Visualisation a title.
    Write a short introduction where you explain what the reader / viewer is actually seeing here. (e.g. patterns, missing data, outliers, correlation, causality)
    Make use of a legend, explaining what the visual elements convey.
  • Mention the data source:
    Where did you get the data? (include links if you have them)
    Which method did you use?
  • Post your final work online, so you can easily share the url and show it to anyone interested or put it on your portfolio. If you’ve got the skills, you could make a (simple) webpage and put your visualisation on there. But a section with text and an image on your Notion or Dropbox Page works just as well!

Questions / feedback
Please, if you have any questions or if you like to have feedback on (a part of) your sketches or designs, reach out to us! We can provide you with written feedback and pointers or schedule a Zoom call to discuss your questions.

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Week 13

Guidelines for presenting

Give a short presentation (5 to 10 minutes) of your data project so far, showing:

-What will your final data visualisation be about? Which answers does it give? Which curiosities does it satisfy?
-Who is the target audience of your visualisation? Who is the final visualisation for?
-Which data did you collect and find? Which methods did you use to get to these data? What are the data sources?
-Which visual forms did you explore? If possible: show sketches of visual variations and explorations you made.
-Did you collaborate with any of your team members or get feedback form any of the international coaches?
-What will you be doing in the coming weeks? What’s your plan? Which tools you will use, you think?
-Do you have any questions / doubts? What part of your project would you like feedback on? You can address this either way you like, by showing a Powerpoint, by showing your Porject Documentation Page, by making sketches / drawings and show these. What works best for you. It’s a good habit to put up things on your Project Documentation Page as you can share it with the coach you will be presenting to or with other people you would like to show your project and as for feedback or advise. Remember: this is work in progress, your presentation doesn’t need to be perfect and finished. If you are doubting about something or don’t know how to handle it, please share this during the presentation because like that we can discuss it and you can take further steps.

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Week 12

Only 5 more weeks to go!

Video week 12

Guest lecture Tiffany France
We have a lecture for you about the design part of data visualisation. It’s a crash course on the use of typography, brought to you by designer and teacher Tiffany France. It’s very practical and very informative. In half an hour you kind of know everything you need to know about typography to make a data visualization.

The coming weeks

Presentation and feedback rounds
If you would like to receive an official Certificate of Participation from the Amsterdam University of Applied Sciences, we would like to invite you to our presentation rounds on April 29 and 30 and the final presentations on May 27 and 28.

It’s mandatory you participate in these presentations, if you want to complete the project. We made as much as time slots to make it possible to join form every timezone but suppose you can’t make it on any of these times, let us know and we can work something out. 

During the preliminary presentations and feedback rounds you show how far you got on the data collection, sketches and prototype of your data topic. Don’t worry if your visualisation isn’t finished, it’s work in progress and just a chance to get feedback on your ideas and your work. After that you have four more weeks to work on your project till the final presentations. 

Final Presentations
The  final presentations are on Thursday May 27 and Friday May 28. We also have made time slots for these. You can also present as a team!

Link to the schedule with preliminary and final presentations:
https://bit.ly/3x9WSX0

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Week 11

PREP WEEK: Sketching without and with data, and a guest lecture from Duncan Geere.

PREP WEEK

This we are going to prepare for what is coming next week. What will we do next week you ask? Next week there will be a feedback round with your coaches. For this you need to:

  • Update your documentation page
  • Post what your subtopic is on Slack
  • Make some exploratory sketches

Guest lecture
Duncan Geere shows how sketching has become a crucial part of his data visualization process over the last few years. In this video He explains how it fits into his process, why he finds it useful, and how to get started with sketching.

Duncan also has written a great article about sketching on his blog:
https://blog.duncangeere.com/how-to-start-dataviz-sketching/

Data Sketching Exercise
If you like to get ahead in visualizing and sketching, you can do an exercise, before visualizing your real data.

The interesting thing about data sketches is that you don’t necessarily need data, but just experiment with form! Think of your subtopic, and just start sketching. The thing about sketching is that it’s okay to draw weird stuff, it’s just a sketch! Sketches don’t need to look beautiful, just throw them away if you don’t like them.

So with your subtopic in your mind, make at least 10 form sketches:

  1. a bar graph
  2. a line graph
  3. a pie chart
  4. a flow chart
  5. a stacked bar chart
  6. an area chart
  7. a treemap chart
  8. a bubble chart
  9. a map
  10. a fantasy chart

Now you are ready for the real thing: sketching with your data.
Of course we would like to see them, so share them in Slack!

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Week 10

Working with the survey dataset and a guest lecture from Andy Kirk.

S-H-O-W Conference 8 & 9 th of April.
It’s still possible to claim your free ticket, let us know before April 8.

Dataset from survey
Here you can find the (anonymized) dataset form the survey:
https://docs.google.com/spreadsheets/d/1NjVlLQ06gFQviGHDtJHojVTHxRViQ0SIXD6WwCV0qts/edit?usp=sharing

If you haven’t filled in the survey, please do!  https://forms.gle/EHWL8MN5TzdmrTS97
We will update the set with new answers.

You can use this dataset to do this week’s exercise and to work on your subtopic. If you having trouble with your subtopic and find it hard to collect data, you can choose to work on one of the ready-to-go subtopics we made for you: https://docs.google.com/document/d/17KeyGKTtZAU6NshvQ_1GtrueFjREQWR_z97_XeBeG-g/edit?usp=sharing

Guest lecture
Watch Andy Kirk again! This week he’s lecturing on Editorial Thinking. This is the process of determining which data to use, what to include, what to leave out and what to visualize. 

Exercise
Practice your editorial thinking and data vis skills with this exercise.
Have a look at the data from the survey. What makes you curious? What do you find interesting? Find patterns and correlations.

Make a simple data visualisation (sketch) showing different variables form the survey dataset you find interesting. Try to visualise at least three variables. Post the result in Slack.

Next week
Please update your project documentation page, posting which subtopic you’re working on and the status of your data collection and explorations. Share it in Slack. Next week our international coaches will give you feedback and help you to get a step further.

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Week 9

Reinhard Tockner workshop: Rebuilding Hans Rosling’s viz with recent data and FREE TICKETS.

This week we have a hands-on workshop for you from data vis teacher Reinhard Tockner from Austria. He’s showing you some tools you can use to explore, transform and visualise data.

Rebuilding Hans Rosling’s viz with recent data:

Part 1

TedTalk with Hans Rosling:

Sources for data:
https://data.worldbank.org/
Gapminder data
https://data.oecd.org/

Cleaning up data with Microsoft Excel (for Windows):

Part 2

Cleaning up data with Exploratory.io (for Mac):

Part 3

Using Tableau to make the visualization:

Part 4

Tableau is software to make (interactive) data visualizations
https://www.tableau.com/
As a student you can use for free:
https://www.tableau.com/academic/students

Free tickets for S-H-O-W 8 & 9 April

Do you want to join an online conference about data visualisation and impact? The super friendly organiser from the conference S-H-O-W (8 & 9 April) is offering free tickets for CCDL students! Check out the program and speakers.

Note that the event is a live stream and takes place between 1:00pm – 8:00pm Amsterdam time (GMT+2). Do check when this is in your time-zone because you can only watch it live (it’s not pre-recorded).

If you like to join S-H-O-W, please let us know by sending a e-mail to Maaike (m[dot]van[dot]cruchten[at]hva[dot]nl) and answer these questions:

  • Which days would you like to join? 8 April, 9 April or both?
  • What do you hope to get out of it? (super short motivation in one or two sentences)
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Week 8

Are you on topic? Also: consultation week with our friends from Kontinentalists!

Please meet Bella and Mick from information design organisation Kontinentalist: https://kontinentalist.com/​ Check also Kontinentalist’s blog on Medium: https://medium.com/kontinentalist

Bella and Mick

This week there are a couple of things you need to do:

  • Do you have a topic to work on? If you have, inform your coach and student assistant per email.
  • If you do not, we have prepared a couple of topics you can choose from – NOTE: you are allowed to choose something that falls outside the scope of the group topic, feel free to choose what you want. (click here for a more elaborate description):
    1. Meet and Greet during COVID pandemic
    2. Plastic pollution
    3. Nutrition – Most popular food
    4. Nutrition – Breakfast
    5. Happy birthday!
  • Inform your coach and student assistant about your choice per email.
  • The super friendly people of Kontinentalists have scheduled office hours at which you will consult them.
Kontinentalists Office Hours
Kontinentalist at Outlier Conference
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Week 7

Exploring data, observation drawings review by Jan Rothuizen AND a survey!

Instructional video week 7

Exercise Data Exploration
Explore a dataset you found on your subtopic or use the dataset we made for you about the room drawings:
Here you can find the room drawings datasheet:
https://docs.google.com/spreadsheets/d/1hv9_m9pE2q8fprhGRvQ8wuUClk2BND4IViPZljGleC0/edit?usp=sharing
Here you can find the room drawings visual data (the actual drawings): https://drive.google.com/drive/folders/1o0ZwNO8WhJFugraATc1ks4pPBRBLN0uP?usp=sharing

Explore the dataset. Can you discover any patterns? Can you discover outliers? (outliers are values that are rare in the dataset)

– Make one sketch of an interesting pattern you find in the dataset
– And make one graph with a simple tool you can use for exploring data

Tools you could use are:
-WTF cvs (https://www.databasic.io/en/wtfcsv/) or some of the other tools of Databasic.iohttps://www.databasic.io
-Google My Maps:
https://www.google.com/maps/d/u/0/
https://support.google.com/mymaps/?hl=en#topic=3188329

-Google sheets (please check last week’s guest lecture with Laurens)
Laurens Aarnoudse, guest lecture Finding and Exploring data, part 4:
https://www.youtube.com/watch?v=DPefuZhElCE

Exploring and finding patterns:


Visual explorations:

Final sketch showing the type of bed covers per country:

This simple graph (bar chart) Maaike made with WTFcsv tool from Databasic.io, showing the variable ‘paper’ into four categories from the dataset Data Drawings Data Sheet:

Here’s another simple graph (word cloud) I made with showing the variable ‘remarks on the wall’ from the dataset Data Drawings Data Sheet:

Reviews of drawings with Jan Rothuizen:

Part 1
Part 2
Part 3

Do the survey!
To help you with data collection on your subtopic we created a survey. It’s important to fill the survey out if you want to keep on joining Cross Cultural Data Literacy. So if you like to be a part of the project, please fill out the survey! The survey is anonymous, we only collect your answers,, not your name or your e-mail address. We will share the outcome of the survey only with you, the participants of Cross Cultural Data Literacy.
Link to survey: https://forms.gle/EHWL8MN5TzdmrTS97

Tasks for week 7

We present you the official CCDL Certificate!