Hello!
I make things and share them with the internet
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As an experiment, I surveyed more than 900 of my LinkedIn connections to better understand the flow of talent across companies. The linked URL shows the end result.
Folks can interact with the visualization and see some interesting migration patterns, effects of M&A, and even small groups who may have left their employer to work on a startup.
Some things to note:
1. Hovering over a company/node will highlight its immediate connections.
2. Companies with significant relationships will have an arrow indicating the significance of the relationship. In this context, significance refers to the volume of talent flowing from one node to another.
3. I color coded the companies/nodes for better categorization. For example, the red nodes are “Other” buckets that I manually made in an effort to contain anomalies and reduce noise.
4. The network may look like a hair ball, so if you’re looking for something, use the search function in your browser by hitting Ctrl+F. I still haven’t figured out an effective way for adding a search widget to the viz.
Enjoy!
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Employer Changes Among My LinkedIn Connections
Top Programming Languages as of 11/2018
An interactive visualization that shows the top programming languages of 2018 (as of 11/2018), by language-type.
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Visualizing Seattle's Skyscrapers in d3.js
I was curious as to what the skyscraper landscape has looked for the last several decades in Seattle.
So, I decided to visualize this growth in d3. Fork this on Github.
When interpreting the viz, note that node size and color have meaning.
Size correlates to building height expressed as stories.
Node color indicates property type. Use the legend below.
Blue = office Red = residential
Light Green = hotel Dark Green = multi-purpose
Note, some multi-purpose buildings could fall into office or residential as well.
Datasource- https://lnkd.in/gtsfAT5