Start It Up! Our First #DataReveal
Kelvin did what many of us could only dream to...he climbed Mt. Fuji via Yoshida Trail. As if that wasn’t impressive enough, he made a beautiful data visualization too.
What motivated you to do this project?: After the hike to Japan's highest mountain, I am in awe of this mountain and want to make a data viz.
What is the main takeaway you want viewers of your project to have? : A brief understanding of the trail and how to climb it.
What was the most challenging part of crafting this code?: Choosing and showing the relevant data and the non-standard way of adding a dynamic reference to show the climb details.
What do you hope to use your data science skills for in the future?: More viz for fun, more fun for work.
A Pocketful of Sunshine
Silvia Romanelli
Silvia is an Italian living in Paris and it shows! She’s missing the Italian sunshine and wanted to compare the average number of sunshine hours per month in Paris to other European capitals. She’s using her data visualizations to dream of her next move, but you can just enjoy her gorgeous work or like me plan your next vacation.
*All Tableau projects have button to make full screen when you scroll to bottom.
What motivated you to do this project?: From time to time I join the "Make Over Monday" challenge, which is a dataviz challenge organised by Eva Murray and Andy Kriebel. This week the dataset provided for the challenge was about sunshine hours in several cities around the world, which I think is a very interesting and fun topic to work on.
What is the main takeaway you want viewers of your project to have? : well, I'd just like them to have fun exploring the viz!
What was the most challenging part of crafting this code?: Find a way in Tableau Software to compare one item (Paris) to all the others of the same dimension (all the other cities).
What do you hope to use your data science skills for in the future?: Data journalism
A Nightmare On My Street
Mohamad Waked
In the Halloween spirit, Mohammed created a visualization for every horror film ever made from 1912 to present. His project is so realistic I can only manage glances for my own peace of mind!
What motivated you to do this project?: Interested to watch horror movie and every time i did a great effort to get my next one ... so i decided to make this process easier for me and for everyone facing the same problem.
What is the main takeaway you want viewers of your project to have? : Notice the most popular film or the highest rated. See connection between movies by director. Decide the one he is going to watch next.
What was the most challenging part of crafting this code?: formulation of the clown face with data points.
What is your favorite package within your language of choice?: D3js
What do you hope to use your data science skills for in the future?: Solving humanity problems and making the world understandable by making the data more human friendly.
Come and Talk To Me
Simon Lafosse
Simon must here all our conversations about how we want to learn a new language...and then never do it. He’s concerned about the collapsing of linguistic diversity and wants everyone else to be concerned as well.
*All Tableau projects have button to make full screen when you scroll to bottom.
What motivated you to do this project?: It's easy to see the world through the prism of our own culture. Nevertheless humanity is diverse and all cultures are treasure houses of literatures, history, philosophy and art. Their stories, ideas and words help us to make sense of our lives and understand the world around us. Cultures rely on languages, so we have to preserve this linguistic diversity.
What is the main takeaway you want viewers of your project to have? : There are a lot of languages around the world but most of them are endangered. We should all be concerned for multiple reasons: human rights, culture and scientific knowledge.
What was the most challenging part of crafting this code?: Creating browsable radial trees charts.
What is your favorite package within your language of choice?: Tableau Software
What do you hope to use your data science skills for in the future?: Better understand the world. Use data as new medium to create art works.
Time Waits For No One
Michelle Frayman
The next time someone tells you it doesn’t matter where you come from it’s where you’re going…say it’s both! Public health experts and physicians have told us for years where you live plays a factor in your health and autism, unfortunately, is no different. Michelle is doing incredible work with #ProjectHealthViz. She wants everyone to know how autism spectrum disorder diagnosis and access to intervention support varies by location, gender and race. Head to Autism Speaks if you would like to know more.
What motivated you to do this project?: I have been participating in #ProjectHealthViz community project this year and this was the subject provided this month. I have known a number of people who have ASD or had children with ASD and early intervention and support made a huge difference for many of them. In turn they have been great advocates so this month's topic had a personal connection for me.
What is the main takeaway you want viewers of your project to have? : That early diagnosis is key to getting the support needed. Mental health stigma is a real concern and early intervention is key to providing the support needed for people to live successful lives.
What was the most challenging part of crafting this code?: There was not a lot of data to work with so coming up with a good way to frame the data and supporting analysis was a challenge.
What is your favorite package within your language of choice?: I don’t know that I have a favorite package. I used Tableau Public for this work.
What do you hope to use your data science skills for in the future?: I use them both at work and in practice on community projects. I really enjoy practicing on different types of data sets that allow me to excercise both my data science skills and my creativity.