A dynamic visualization made with d3.js
A Pen by Riccardo Scalco on CodePen.
A dynamic visualization made with d3.js
A Pen by Riccardo Scalco on CodePen.
This is an attempt to define user visibility on a specific topic. Briefly, tweets are collected via the Twitter streaming API, stored in sqlite databases and then processed in order to create a regular Markov chain. The steady state distribution of the chain defines a metric on the set of Twitter users, which can be used to retrieve an ordered list of users.
Have a look at this paper and this other paper for further details about the mathematical methods.
Be careful, the procedure described here is experimental and it is not meant to be used in production environments.
A Pen by Riccardo Scalco on CodePen.
Shapefile source: http://www.istat.it/it/archivio/24613
Convert shapefile to geojson, s_srs defines the input projection, t_srs defines the output projection to the EPSG code 4326 (http://spatialreference.org/ref/epsg/4326/) see also http://www.gdal.org/ogr2ogr.html
ogr2ogr -f GeoJSON -s_srs prov2011_g.prj -t_srs EPSG:4326 sub.json prov2011_g.shp
#!/bin/bash | |
# Install ghostscript. | |
# Assume A and B have the same amount of files. | |
# Assume file in A are named `testo_1`, and files in B are named `disegno_1`. | |
END=`ls A/*.pdf | wc -l` | |
echo "merging..." |
Add fonts to directory ~/.fonts
.
See available fonts:
$ fc-list | col | sort | less
For example, among all I have:
Resources
Set node version
$ nvm install 5.7.0
$ git checkout 0d1d7fc32 .
$ git commit -m "revert to older commit"
$ git push origin master