<commit_before>---
title: World -> Data -> World
---
To me, it is common sense that data could be extracted from a 
and that that data could be converted into a slice of apple pie.


## World -> Data
People focus a lot on 


## Data -> World: CSV Soundsystem
This theme underlies much of [CSV Soundsystem](http://csvsoundsystem.com)'s work.
Most of us in CSV work in journalism, so it makes sense that we're always thinking
about how to make data into stories that are accessible to ordinary people.

### Music videos
For CSV Soundsystem, you're thinking the music videos?
http://www.youtube.com/watch?v=rLZDvXPIDa0
http://fms.csvsoundsystem.com
http://tlevine.github.io/multisensory-data-zipfian/transit.webm

### Data gastronomification
https://github.com/csv/gastronomify
http://www.youtube.com/watch?v=3CiDW7NVa8o

And our tools for making music videos
https://github.com/csv/ddr<commit_msg>csv summary for knight<commit_after>---
title: World -> Data -> World
---
To me, it is common sense that data could be extracted from a pair
of pants and that that data could be converted into a slice of apple pie.
But for many (most?) people, it is not common sense. I think this is a
particularly important concept to convey if we want to teach data literacy
(or whatever you want to call it). So now I'll talk about some ways that
I teach this concept.

## World -> Data
We can collect information from the world and convert it into data.
This tends to come to people more easily. My main points here are that
data is simply a concise representation of ordinary human knowledge
and that fancy computers use the same processes that people do.

The concept that the world can be converted into data seems to come
quite naturally to people when I find a situation where the people are
already doing that. People often ask me to teach web scraping, and I
generally subvert that request to teach them about how anything can
be converted into data. I do that by walking through the architecture
of a complex data-driven system and by brainstorming different types
of information that can be extracted from a web page.

### Architecture walkthrough

### Brainstorming information extraction

## Data -> World: CSV Soundsystem
This theme underlies much of [CSV Soundsystem](http://csvsoundsystem.com)'s work.
Most of us in CSV work in journalism, so it makes sense that we're always thinking
about how to make data into stories that are accessible to ordinary people.

### Music videos
For CSV Soundsystem, you're thinking the music videos?
http://www.youtube.com/watch?v=rLZDvXPIDa0
http://fms.csvsoundsystem.com
http://tlevine.github.io/multisensory-data-zipfian/transit.webm

### Data gastronomification
https://github.com/csv/gastronomify
http://www.youtube.com/watch?v=3CiDW7NVa8o
https://twitter.com/internetrebecca/status/352955293291913217

And our tools for making music videos
https://github.com/csv/ddr
{'fraction_non_alphanumeric': 0.07268343093351705, 'fraction_numerical': 0.008956252152945229, 'mean_word_length': 4.377777777777778, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 11, 'https://': 5, 'lorem ipsum': 0, 'www.': 4, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '347202', 'n_tokens_mistral': 837, 'n_tokens_neox': 790, 'n_words': 389}