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The Webpage is the API – Scraping Resources

Webscraping is one of the most powerful techniques for obtaining data – it allows you to treat nearly any website out there as data sources. Thus allowing you to create your own data collections and...

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Book Review: The Functional Art by Alberto Cairo

Ever wondered how to create stunning inforgraphics and how to show what you found in your data? Alberto Cairos “the functional art” is for you. The world of datavisualization seems to know two kinds...

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Web Scraping with CSS Selectors in Node JS using JSDOM or Cheerio

I’ve traditionally used python for web scraping but I’d been increasingly thinking about using Node JS given that it is based on a browser JS engine and therefore would appear to be a more natural fit...

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Here, the spreadsheet is king (for now)

Seat reserved… for the spreadsheet. Photo by Zoonabar. CC-BY-SA 2.0 For non-techie researchers and investigators like me who work on human rights, spreadsheets are incredibly useful. However, it’s...

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Geocoding Part I: Introduction to Geocoding

Geocoding is the conversion of a human-readable location name into a numeric (or other machine-processable) location such as a longitude and latitude. For example: London => [geocoding] =>...

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Geocoding Part II: Geocoding Data in a Google Docs Spreadsheet

This tutorial follows on from the previous Introduction to Geocoding. A very common need is to geocode data in a Google Spreadsheet (for example, in creating TimeMaps with the Timeliner project)....

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Made to Measure: Reshaping Horsemeat Import/Export Data to Fit a Sankey Diagram

As the food labeling and substituted horsemeat saga extends across the EU, we might expect to see more and more data relating to the story turning up. One place that can almost always be guaranteed to...

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Using SQL for Lightweight Data Analysis

This article introduces the use of SQL for lightweight data analysis by walking through a small data investigation to answer the question: who were the top recipients of Greater London Authority...

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Using Excel to do precision journalism, an Update from the School of Data...

Our first workshop has just kicked off with Steve Doig leading “Excel for Journalists”. If you missed it, don’t worry – here’s the breakdown for you! Download the Data and the Tutorial You can...

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Social network analysis for journalists using the Twitter API

Social Network analysis allows us to identify players in a social network and how they are related to each other. For example: I want to identify people who are involved in a certain topic - either to...

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Data Wrapper Tutorial – Gregor Aisch – School of Data Journalism – Perugia

By Gregor Aisch, visualization architect and interactive news developer, based on his workshop, Data visualisation, maps and timelines on a shoestring. The workshop is part of the School of Data...

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Creating a Map Using QGis

This is the second of the tutorials from the hands-on visualisation session from Gregor Aisch at the School of Data Journalism at the International Journalism Festival in Perugia. In this tutorial we...

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DDJSchool Tutorial: Analysing Datasets with Tableau Public

This tutorial is written by Gregor Aisch, visualization architect and interactive news developer, based on his workshop, Data visualisation, maps and timelines on a shoestring. The workshop is part of...

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Proving the Data – A Quick Guide to Mapping England and Wales Local Elections

If the role of news journalists is in part to hold the powers that be to account, whose role is to make sure that claimed releases of public open data are fit for purpose, or that appropriately...

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Hunting for Data – Learning How to Read and Write Web Addresses, aka URLs

In every data explorer’s toolbox, there is likely to be a range of tools and techniques that have proven their worth again and again. For discovering data on the web, both the public web and private,...

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Asking Questions of Data – Some Simple One-Liners

One of the great advantages of having a dataset available as data is that we can interrogate it in very direct way. In this post, we’ll see a variety of examples of how we can start to ask structured...

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Asking Questions of Data – Garment Factories Data Expedition

As preparation for the upcoming data expedition on Mapping the garment factories this weekend, several intrepid explorers have been collating data from brand supplier lists that identify the location...

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Analysing UK Lobbying Data Using OpenRefine

Being able to spot when we might might be able to turn documents into datasets is a useful skill for any data journalist or watchdog to develop, In this (rather long!) practical walkthrough post,...

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Get Started With Scraping – Extracting Simple Tables from PDF Documents

As anyone who has tried working with “real world” data releases will know, sometimes the only place you can find a particular dataset is as a table locked up in a PDF document, whether embedded in the...

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Exploratory Data Analysis – A Short Example Using World Bank Indicator Data

Knowing how to get started with an exploratory data analysis can often be one of the biggest stumbling blocks if a data set is new to you, or you are new to working with data. I recently came across a...

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