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I’ve been which means to study D3 for some time. To be sincere, D3 has all the time been an overkill for the forms of issues I’ve labored on (the place visualizing the info was only a means to an finish, not the ultimate product itself). As a Python developer I typically use instruments like matplotlib, plotly, seaborn, pandas (or geopandas), and bokeh to “get the job carried out”. Lately, nevertheless, I’ve been spending time creating knowledge visualizations only for enjoyable and it looks as if the right time to start out studying D3.
On this article I’ll present you the way I created a graphic just like the one above for five peaks (Everest, Ama Dablam, Cho Oyu, Lhotse, and Manaslu) utilizing Python, D3, Illustrator, and Photoshop. I’ll go over:
- Inspiration.
- Getting the info.
- Preliminary knowledge preparation.
- Deciding on 5 peaks to visualise.
- Getting ready the info for plotting.
- Creating an SVG with D3.
- Saving the SVG and importing into Illustrator.
- Working with the SVG in Illustrator.
- Including ultimate touches in Photoshop.
- Classes realized.
This visualization was impressed by “Gisa’s Timeline” created by Barbara Rebolledo. I used to be in search of a nonstandard approach to visualize the variety of deaths throughout Himalayan expeditions and thought Barbara’s timeline appeared fascinating (and it supplied the right excuse to make use of D3 since creating one thing like that in Python would’ve been a nightmare).
The information I used was obtained from the Himalayan Database and is identical dataset I used for the article “Visualizing Everest Expeditions”.
The Himalayan Database is a compilation of data for all expeditions which have climbed within the Nepal Himalaya.
Particularly, I extracted data on Himalayan expeditions by following the directions on the Himalayan Database web site. The dataset is a small CSV file (with a…
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