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--- projects:potential-projects [2011/07/05 14:55] – [Raw Data and Inspiration] dblume
+++ projects:potential-projects [2023/04/12 20:44] – external edit 127.0.0.1
@@ Line 20: / Line 20: @@
   * Do NOT use: http://code.google.com/apis/chart/types.html#qrcodes It makes codes that are too big.
   * Do use: Custom Python wrapper for http://megaui.net/fukuchi/works/qrencode/manual/index.html It makes tighter codes.
-  * Zazzle (Or VistaPrint: There's an email promotion "Buy 250 business cards, get 250 more on Us"  Best way to specify cards?  With PNG file, web app?)
+  * Zazzle (Or VistaPrint: There's an email promotion "Buy 250 business cards, get 250 more on Us"  Best way to specify cards?  With PNG file, web app? [[http://dlma.com/images/qr_code_sized_for_vistaprint.png|Here's an image that's the right size for VistaPrint]].)
+  * You can [[http://qrcode.littleidiot.be/|set WiFi settings by QR Code too]]!
 **Notes:**
@@ Line 41: / Line 42: @@
 And this is the most minimal code that can exist and point to me.  It points to http://dlma.com/ .  I should make that landing page more useful, especially if I chose this code for the back.
 ===== Statistics Pages =====
@@ Line 52: / Line 52: @@
   * http://googleblog.blogspot.com/2009/11/world-bank-public-data-now-in-search.html
   * http://david.dlma.com/lifestream/all.html (available in UTF-8 or SQLite)
-  * http://www.census.gov/genealogy/names/names_files.html
-  * http://www.swivel.com/
-  * http://getpivot.com/
   * http://www.ted.com/talks/hans_rosling_shows_the_best_stats_you_ve_ever_seen.html
-  * http://timetric.com/
   * http://creativemachines.cornell.edu/eureqa
   * http://peltiertech.com/WordPress/loess-smoothing-in-excel/
+  * http://www.quora.com/Pregnancy/What-are-the-factors-that-determine-the-timing-of-a-newborns-delivery/answer/Matthew-Baggott?srid=hpXX&st=ns#
+==== Javascript ====
-==== Javascript ====
+  * 2018: [[http://www.chartjs.org/|Chartjs.org]]: Luke used this for dynamic meminfo tracking, via [[https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.7.2/Chart.min.js|cloudflare.com's minified version]].
+  * 2017: ScatterChart: https://developers.google.com/chart/interactive/docs/gallery/scatterchart
-  * Flot http://code.google.com/p/flot/ (beautiful, uses jquery Example: http://binarybonsai.com/code/silprob/ with download link )
+  * [[http://dygraphs.com/|dygraphs]] Accepts CSV.  That's good.
-  * Simile http://code.google.com/p/simile-widgets/ (timeline, and the plurk karma timeplot)
+  * [[https://github.com/flot/flot/blob/master/README.md|Flot]] Would likely use if I'm already using jquery.
-  * Protovis http://vis.stanford.edu/protovis/ (Michael used it [[http://binarybonsai.com/2010/09/27/chewie-stats/|here]]).
+  * [[http://www.simile-widgets.org/timeplot/docs/|Simile]] Used by timeline, and the Plurk karma timeplot.
+  * [[http://www.highcharts.com/|Highcharts]] Used at work.
 ==== Python ====
-  * [[http://code.google.com/p/graphy/|graphy]]
+  * [[http://bokehplots.com/pages/about-bokeh.html|Bokeh]] As seen [[https://pypi-package-count.herokuapp.com/|here]], and it's what Wim used at Roku for Player events.
-  * [[http://code.google.com/p/google-chartwrapper/|google-chartwrapper]]
+  * [[http://code.google.com/p/graphy/|graphy]], [[http://code.google.com/p/google-chartwrapper/|google-chartwrapper]] and[[http://pygooglechart.slowchop.com/|pygooglechart]] all wrap the Google chart API.  So there are limitations on the dataset and image sizes.
-  * [[http://www.pythonware.com/products/pil/|PIL]]
+  * [[https://bitbucket.org/lgs/pycha/wiki/Home|pycha]], [[http://linil.wordpress.com/2008/09/16/cairoplot-11/|CairoPlot]] and [[https://launchpad.net/pycairochart|PyCairoChart]] all reply on PyCairo.
-  * [[http://www.pyglet.org/|pyglet]] vs. [[http://www.wxpython.org/|wxPython]]
+  * [[http://matplotlib.org/|matplotlib]] is mature, robust and big.
-  * [[http://pyopengl.sourceforge.net/|pyOpenGL]]
+  * [[http://pypi.python.org/pypi/reportlab|reportlab]].  Don't know yet.
+  * [[http://home.gna.org/pychart/|pychart]]. 1.39 in 2006.  Consider [[http://home.gna.org/pychart/examples/double.py|this example]].