Mastering data visualization with Python: practical tips for researchers
Soyul Han, Il-Youp Kwak · 2023
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Description
Soyul Han and Il-Youp Kwak write a practical guide to drawing research data with the Python language. Big datasets have shifted science from testing tidy hypotheses toward exploring for patterns. Pictures make those patterns visible: a good chart can expose the shape of an epidemic or the drift of a measurement faster than any table. The trouble is that many researchers never learned the craft systematically.
The article walks through the main visualization techniques and the judgment behind choosing among them. Worked Python exercises, posted publicly, let readers practice each method on real-style data. The authors aim at working researchers rather than programmers, keeping the code close to the questions scientists actually ask. Their pitch is that visualization is not decoration added at the end of a study. Done well, it is part of how the study thinks.
Catalog record
| CREATOR | Soyul Han, Il-Youp Kwak |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 18 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |