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Please note: You don't need to have attended the kickoff event to participate! Anyone can participate!

International Women’s Day took place on March 8th, 2024. The theme for this year is “Invest in women: Accelerate progress”.

In honour of this theme, R-Ladies Ottawa is hosting a month-long data challenge!

You can find the full details on our website.

Challenge

The objective of this data challenge is to analyze investing in women. This is a very open-ended challenge, so be as creative as you’d like!

Some examples include:

  • Analyze venture capital investment data to understand trends in funding for women-led startups.
  • Analyze businesses or organizations that promote women’s empowerment.
  • Analyze data on gender diversity in leadership positions.

You can use any data source, but the following are examples:

Guidelines

Although this challenge is hosted by R-Ladies Ottawa, you don’t have to use R to participate. You could use R, Python, a combination of the two, or anything you’re comfortable with!

No previous programming experience is required! If you’re interested in participating, but aren’t sure where to start, check out the recordings from our Introduction to R workshops that we hosted in early 2024. The workshops will give you a solid foundation in data analysis and data visualization using R.

While anyone is welcome to participate in the challenge and submit an entry, only submissions by women and gender minorities who reside in Canada will be eligible for the prizes.

Prizes

You can participate individually, or in teams of up to 5 people!
Prize details will be released at a later date.

How to submit an entry

This will be a month-long data challenge, and you’ll have until April 7th to submit your entry. Your submission can be in any form you like – it can be a Quarto document, an image, a link to a webpage, or a link to a video, for example.

There are two options for submitting an entry:

Submitting an entry

After the submission deadline, R-Ladies Ottawa will host a virtual event where participants can showcase their work. This is a great way to learn from one another and to connect with other like-minded individuals!

The date and time of the showcase event will be announced soon.

Data Science using Python
Data Science using R
Data Visualization
Programming in R
Open Source

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