Hello! Welcome to a PyData Manchester and Open Data Manchester Production.
Do you have a tale of bad stats, strange correlations, malicious intent or plain stupidity? Join us and share your Data Horror Stories!
Toy Story 2’s production famously hit a snag after losing a couple of months worth of work due to an accidental and erroneous command being executed.
In 1999 the Mars Orbiter Climate spacecraft crashed because engineers used computer software which produced output in non-SI units of pound-force seconds (lbf·s) instead of the SI units of newton-seconds
And in 2003, Manchester City Council received a £7,500,000 budget cut due to an error with the census data, which essentially lost 25,000 people.
Data Horror Stories is a night for sharing YOUR scary data-based tales.
We have a number of 5minute slots available, so if you have a story or cautionary tale that you’d like to share, drop an email to john[at]pdfta.com or DM us on twitter https://twitter.com/pydatamcr
There’ll also be some quick-fire slots on the night.
Join us for a night of data-based cautionary tales and share your stories and experiences.
6.00 Doors, refreshments, etc.
6.30 Event starts.
PyDataMCR is a chapter of PyData, an educational program of NumFOCUS and thus abides by the NumFOCUS Code of Conduct https://pydata.org/code-of-conduct.html. Please take a moment to familiarise yourself with its contents.
Federation is located in the centre of Manchester, on the corner of Balloon Street and Federation Street. It’s about a minute walk from Shudehill tram and bus station, and few minutes from Victoria tram and train station.
Putting the address into your phone or satnav should get you here with no problems.
Federation has no parking itself, but there are a number of carparks in the immediate area, such as the Manchester Arndale or Printworks NCP.
There is one step from the pavement to the entrance to the building. The door staff will be able to bring out a ramp for you if required. The rest of the building is an accessible venue with a lift to all floors.
Thank you to NUMFocus for sponsoring Meetup and further support
Thank you to Cathcart Associates for sponsoring PyDataMCR – If you are looking for a job in data get in touch at https://www.cathcartassociates.com/