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--- weatherbox:visualization:start [2015/11/04 04:52]
kluong created
+++ weatherbox:visualization:start [2021/09/19 21:59] (current)
@@ Line 8: / Line 8: @@
 ===== Current Status =====
-We currently have very little visualization - we have a python-based script that can run through CSV files and map them. We also have some GNU Plot based scripts that are still a little clunky to use.
+We currently have very little visualization - we have a python-based script that can run through CSV files and map them. We also have some GNU Plot based scripts that are still a little clunky to use. We have two approaches that are being considered:
+==== Image Based Approach ====
+The image based approach means rendering a .png or other image of different sample sets. This approach has the advantage of being very computationally light - rendering work is only done once a day (or however often it needs to be done).
+==== Javascript Based Approach ====
+This approach is based around building an API surrounding the database, specifically for data access. This approach might be more interactive and fun, but may be a little more heavy on the database access.
 ===== Resources ======
@@ Line 16: / Line 26: @@
     * [[ https://www.codecademy.com/courses/web-beginner-en-kcP9b/0/1 | Codeacademy D3.js tutorial]]
   * [[ http://square.github.io/cubism/  | cubism.js]] (library for visualizing time series data)
+  * [[weatherbox:visualization:tutorials:Installing Matplotlib]]
+  * https://github.com/GraphAlchemist/Alchemy
+  * https://github.com/plotly/plotly.js
 ===== Examples =====
   * [[ http://www.nytimes.com/interactive/2013/03/29/sports/baseball/Strikeouts-Are-Still-Soaring.html?ref=baseball&_r=0 | NY Times baseball strikeouts  ]]