DataJournalism: How To get data and process them?
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Workshop on datajournalism given at the DataDays organised by the Open Knowledge Foundation on the 17th of February 2014.
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1. Data mining involves the automated analysis of large datasets to discover patterns and relationships. It has grown in importance due to the massive growth in data from various sources like business, science, and social media.
2. A typical data mining system includes components for data cleaning, data transformation, pattern evaluation, and knowledge presentation from datasets in databases or data warehouses. Data mining algorithms are applied to extract useful patterns.
3. Data mining draws from multiple disciplines including database technology, statistics, machine learning, and visualization. It aims to discover knowledge from data that is too large for traditional data analysis methods to handle effectively.
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This document discusses findability at the Library of Congress website LOC.gov. It defines findability and presents a findability framework with 8 pillars related to both internal and external findability. It describes the tools and metadata used at LOC.gov to improve findability, such as faceted searching, responsive design, search engine optimization, and APIs. It provides examples of how metadata helped improve the findability of Twitter on the site and discusses finding as an ongoing process requiring collaboration across teams.
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This document provides an introduction to big data concepts including what big data is, how organizations use it, key technologies like Hadoop and NoSQL databases. It discusses how big data is growing exponentially, fueled by sources like social media, sensors and mobile devices. Example use cases are described for industries like retail, healthcare and transportation. Commercial distributions of Hadoop and popular NoSQL database types are also outlined.
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Data science involves extracting insights from vast amounts of data using scientific methods and algorithms. It includes concepts like statistics, visualization, machine learning, and deep learning. The data science process includes steps like data discovery, preparation, modeling, and operationalizing results. Important roles include data scientist, engineer, analyst, and statistician. Tools include R, SQL, Python, and SAS. Applications are in internet search, recommendations, image recognition, gaming, and price comparison. The main challenge is obtaining a high variety of information and data for accurate analysis.
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- 1. Workshop on Data Journalism February 17, 2014 Ghent How to get the data and how to process them? Lorenzo Pellizzari 1
- 2. About me … 2
- 3. Get the data Receive it Advanced search techniques How to get the data? FOI laws Scrape it 3
- 4. 1 Receive it Analyzing the War Logs (Associated Press) 4
- 5. 2 Advanced search techniques: Google 79.300.000 results 5results 5
- 9. 3 Freedom of Information laws 9
- 10. 3 Freedom of Information laws 10
- 11. 4 Scrape your data “Web scraping (web harvesting or web data extraction) is a computer software technique of extracting information from websites.” (Wikipedia) http://www-news.iaea.org/ 11
- 14. Process the data What Analytics, Data mining, Big Data software you used in the past 12 months for a real project (not just evaluation) [798 voters] http://www.kdnuggets.com/ 14
- 15. The software for data analysis Share of R- or SAS-related posts to Stack Overflow by week. http://r4stats.com/articles/popularity/ 15
- 16. The software for data analysis 16
- 17. Example: ABC News Interactive map of gas wells and leases in Australia Scraping: Main data coming from gouvernemental websites FOI: Data on chemical releases Variety of reports: Data on salt and water http://datajournalismhandbook.org/ 17
- 18. Example: ABC News • A web developer and designer • A lead journalist • A part time researcher with expertise in data extraction, excel spread sheets and data cleaning • A part time junior journalist • A consultant executive producer • A academic consultant with expertise in data mining, graphic visualization and advanced research skills • The services of a project manager and the administrative assistance of the ABC’s multi-platform unit • Importantly we also had a reference group of journalists and others whom we consulted on a needs basis http://datajournalismhandbook.org/ 18
- 19. 19