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Showing posts with the label computing

EarthQuake

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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...
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Bibliographic Analysis Tools for Computing

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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...
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Publications in a social network

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The Computing staff's network of co-authors, at the University of Northampton, based on the University's  research repository NECTAR -  http://nectar.northampton.ac.uk/view/divisions/SSTCT.html  on 12th November 2016.  The data goes back to 2010. The data was analysed using the software VOSviewer -  http://www.vosviewer.com/  free software for visualising networks . Differences in colours represents, the clusters of publications with those authors picked out by the software. The relative size of the circles is the relative number of publications listed; so for the two biggest circles/hubs it relates to 55 and 34 publications in this time period. Some relatively new authors, to the University but not to research, explains some of the 'islands' and the number of publications within it - it only reflects publications whilst at the University of Northampton. To dig a little deeper, going to  look...
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