Data collected to help visualize and commemorate the history and impact of buildings, businesses, and venues that have vanished in NY.

vanishingny.csv is the master list of all collected records. You will also find txt and csv files that contain identical data separated by year. These files contain the most recent data that has been cobtributed to the project.

txt2csv.py converts txt formatted data into many individual csv files and one master vanishingny.csv file according to some fairly specific parsing logic. Run this command if you add new data to the txt files.

The format of data expected in the txt files allows txt2csv.py to parse the text files to CSV correctly. Please refer to the template below.

[NAME] : [YEARS_OF_BUSINESS]
[COMMENTARY_AND_DESCRIPTION] ; [LOCATION]

To insert a new reord into the txt files, just replace the braces with your data. For example:

’Inoteca: 11 years
Serving small plates and Montepulciano to guests on the daily since 2003. Denton announced the closure in a statement that indicates he and his partner are relinquishing the lease;98 Rivington

Finally, run the txt2csv.py script on the data.

• Each record is comprised of two lines.

• The important delimiters to include are the colon on line 1 and the semicolon on line 2

• Include a newline at the end of the record and start the next record immediately after.

• Remove double quotes and use single quotes instead

Or add the data directly to the csv files.

Create a pull request and your contribution will be appreciated.

This project extends The Master List 2001-2013 by JEREMIAH MOSS. The original data was sourced by hand from that blog post you can see here http://sadto.me/1aL4gX0.

As the renowned @blprnt posits Where there's data, there's anti-data. That is to say, the data you find here is likely quite refutable. Please feel free to open an issue and discuss.