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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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Bit of fun - SNA of RI Xmas Lectures part 1

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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_science 513 @saifulchemistry 245 @bbcfour 117 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  ...
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