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| author | Christian Kolset <christian.kolset@gmail.com> | 2025-11-17 16:42:04 -0700 |
|---|---|---|
| committer | Christian Kolset <christian.kolset@gmail.com> | 2025-11-17 16:42:04 -0700 |
| commit | 7a713b1e67a255c285eef45d172ba0a1286987c3 (patch) | |
| tree | e73f76f0940e4946c2c75f89d67e3b815bc29d76 /tutorials/module_4/4.2 Interpreting Data.md | |
| parent | 922e5d874d4ae522fd9e5090b4f4f949b532b8e5 (diff) | |
Started working on schlieren imaging example (CFD)
Diffstat (limited to 'tutorials/module_4/4.2 Interpreting Data.md')
| -rw-r--r-- | tutorials/module_4/4.2 Interpreting Data.md | 1 |
1 files changed, 1 insertions, 0 deletions
diff --git a/tutorials/module_4/4.2 Interpreting Data.md b/tutorials/module_4/4.2 Interpreting Data.md index 836d181..bbb4240 100644 --- a/tutorials/module_4/4.2 Interpreting Data.md +++ b/tutorials/module_4/4.2 Interpreting Data.md @@ -1,4 +1,5 @@ # Interpreting Data for Plotting +# How to represent data scientifically Philosophy of visualizing data A useful tool is using the acronym **PCC** to enforce legibility of your data. These three principles form the foundation of data visualization and ensure your figures communicate meaning rather than just display numbers. |
