EarthQuake

Image
Earthquake Start of a project to bring in information from a website with an Application Programming Interface (API). We are going to use a modified version of "Project: Fetching Current Weather Data" from "Automate the boring stuff with Python" by Al Sweigart What is going on below? We import libraries to dela with json, reuest from the server and the pandas library. In [1]: import json , requests import pandas as pd from pandas import json_normalize In this section we creating a string made up of the URL. Requesting the information from the site with the URL we created and pass back the information. Data comes from the US Geological survey  https://www.usgs.gov/about/about-us/who-we-are and one of their earthquake feeds. Then print out what was returned. In [2]: url = 'https://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/all_hour.geojson' response = requests . get ( url ) response . raise_for_status () Now we need load the data which i
Post a Comment

Bit of fun - SNA of RI Xmas Lectures part 1

From a curiosity point of view I was wondering what the Twitter activity was for The Royal Institution ( ri_science) Christmas Lectures (#xmaslectures) presented by Professor Saiful Islam (@saifulchemistry)

 The week before 18th - 25th December




Three biggest sources for retweets and mentions are 
Most influentials (nr RT/Mentions received)
@ri_science513
@saifulchemistry245
@bbcfour117
After the first day (10pm on 26th December)

 Interesting the National Portrait Galley be came a hub of activity.
Repeating the exercise at 9am on the 27th December 2016.

 Central 'core' of activity with some unconnected links. The 'unconnected' links could be from another use of the hashtag #xmaslectures or tweets that don't mention twitter names of those in the core.


A more interactive approach is the use of Martin Hawksey's fantastic tool TAGs (see http://datavizexperiments.blogspot.co.uk/2016/12/social-visualisation-using-tags.html for more details). The video below shows it in action for this data.


TAGS (https://tags.hawksey.info/) also regularly updates and produces a sharable URL to view the data for example this one http://hawksey.info/tagsexplorer/?key=16Bwd4nQDGVHETdgc97RUM6yScHRmGRSic0jI8Fru5WQ&gid=400689247.


All views are the authors and do not reflect the views of any organisations the author is associated with. Twitter: @scottturneruon

Comments

Post a Comment

Popular posts from this blog

Social Analysis using socioviz

Image
Originally posted in  https://computingnorthampton.blogspot.co.uk/2016/01/mini-projectsocial-network-analysis-fun.html figure 1. #StarWars 30/12/15 Playing with Socioviz ( socioviz.net ) - a free online tool for looking at influence on twitter. The image to left show connections between tweeters using the hashtag #StarWars on the 30th December 2015 up to 6pm (GMT). Figure 2 shows the most active tweeters for this hashtag and the most influential based on Retweets and Mentions - the four greatest influencers are picked out in the video below, showing the map evolving (speed-up 20 times).   figure 2 To experiment with this a bit more  +The Royal Institution   has a long traditional of holding a series of Christmas Lectures  which are now televised, Dr Kevin Fong presented this years. I was curious about who the biggest influencers on twitter were for the hashtag #xmaslectures over the three days of the show. The three biggest influencers came out as  @Kevin_Fong @Ri_Sci
Read more

Using NodeXL to visualise twitter and looking at what it shows a bit

Image
Recorded with https://screencast-o-matic.com Video looks at the using NodeXL https://nodexl.com/ to look at tweets. The professional version was used but a free version is available. Uploaded the graph produced to the NodeXL Graph Gallery and so the hidden gems other than the graph that is produced. The links for downloading settings, etc used in a particular graph are at the bottom of the page linked out from the gallery. All views are the authors and do not reflect the views of any organisations the author is associated with. Twitter: @scottturneruon
Read more

Bibliographic Analysis Tools for Computing

Image
In this post, I am looking at a couple of ways to analyse biblographic data.  Starting with the simplest, Word Clouds but then an interesting tool VosViewer . All the data is taken from the University of Northampton's Research Repository - Nectar - for members of the academic Computing team.   Word Clouds The image above is based on data for all the listed publications for the computing team since 2011. It includes the authors, title, conference, etc; but no abstract. It takes quite a bit of editing and really all that is being shown is the Authors name for the most published authors and a few key terms. Provides a nice snap shot but is difficult to interpret. Taking this a bit further, looking at the titles of research outputs per year. Titles 2016 Titles 2015 Titles 2014 Title 2013 Title 2012 Title 2011 The interesting trend is the changing nature of the research in 2011 computer education comes out as a strong feature. In
Read more