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Items tagged datajournalism in Mar

Filters: Month: Mar × datajournalism × Sorted by date


Running OCR against PDFs and images directly in your browser

I attended the Story Discovery At Scale data journalism conference at Stanford this week. One of the perennial hot topics at any journalism conference concerns data extraction: how can we best get data out of PDFs and images?

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NICAR 2024 Tipsheets & Audio. The NICAR data journalism conference was outstanding this year: ~1100 attendees, and every slot on the schedule had at least 2 sessions that I wanted to attend (and usually a lot more).

If you’re interested in the intersection of data analysis and journalism it really should be a permanent fixture on your calendar, it’s fantastic.

Here’s the official collection of handouts (NICAR calls them tipsheets) and audio recordings from this year’s event. # 11th March 2024, 1:14 am

American Community Survey Data via FTP. I got talking to some people from the US Census at NICAR today and asked them if there was a way to download their data in bulk (in addition to their various APIs)... and there was!

I had heard of the American Community Survey but I hadn’t realized that it’s gathered on a yearly basis, as a 5% sample compared to the full every-ten-years census. It’s only been running for ten years, and there’s around a year long lead time on the survey becoming available. # 8th March 2024, 12:25 am

Teaching News Apps with Codespaces (via) Derek Willis used GitHub Codespaces for the latest data journalism class he taught, and it eliminated the painful process of trying to get students on an assortment of Mac, Windows and Chromebook laptops all to a point where they could start working and learning together. # 23rd March 2023, 12:39 am

Weeknotes: NICAR, and an appearance on KQED Forum

I spent most of this week at NICAR 2023, the data journalism conference hosted this year in Nashville, Tennessee.

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The Accountability Project Datasettes. The Accountability Project “curates, standardizes and indexes public data to give journalists, researchers and others a simple way to search across otherwise siloed records”—they have a wide range of useful data, and they’ve started experimenting with Datasette to provide SQL access to a subset of the information that they have collected. # 22nd March 2021, 12:07 am

Weeknotes: Datasette and Git scraping at NICAR, VaccinateCA

This week I virtually attended the NICAR data journalism conference and made a ton of progress on the Django backend for VaccinateCA (see last week).

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Git scraping, the five minute lightning talk

I prepared a lightning talk about Git scraping for the NICAR 2021 data journalism conference. In the talk I explain the idea of running scheduled scrapers in GitHub Actions, show some examples and then live code a new scraper for the CDC’s vaccination data using the GitHub web interface. Here’s the video.

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Weeknotes: datasette-ics, datasette-upload-csvs, datasette-configure-fts, asgi-csrf

I’ve been preparing for the NICAR 2020 Data Journalism conference this week which has lead me into a flurry of activity across a plethora of different projects and plugins.

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VisiData (via) Intriguing tool by Saul Pwanson: VisiData is a command-line “textpunk utility” for browsing and manipulating tabular data. “pip3 install visidata” and then “vd myfile.csv” (or .json or .xls or SQLite orothers) and get an interactive terminal UI for quickly searching through the data, conducting frequency analysis of columns, manipulating it and much more besides. Two tips for if you start playing with it: hit “gq” to exit, and hit “Ctrl+H” to view the help screen. # 18th March 2019, 3:45 am

Generating a commit log for San Francisco’s official list of trees

San Francisco has a neat open data portal (as do an increasingly large number of cities these days). For a few years my favourite file on there has been Street Tree List, a list of all 190,000 trees in the city maintained by the Department of Public Works.

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Publish the data behind your stories with SQLite and Datasette. I presented a workshop on Datasette at the IRE and NICAR CAR 2019 data journalism conference yesterday. Here’s the worksheet I prepared for the tutorial. # 9th March 2019, 6:27 pm

Baltimore Sun Public Salary Records (via) The Baltimore Sun have published an interactive search engine for public salaries of Maryland state employees, and it’s powered by Datasette! Since data journalism is one of my key use-cases for Datasette I’m incredibly excited to see this in the wild. They’ve also published the underlying source code (see the via link) which is a really nice example of how to use Datasette’s custom templates and canned query functionality. # 28th March 2018, 5:12 pm