Name: womens-march
Owner: Data for Democracy
Description: This is a place to join and analyze data related to the Women's Marches. Potentially this can lead to further joining and analysis of data on resistance to Trump and support for rights or issues that Trump opposes, as the Scientists' March on Washington (and possibly others) are discussed about and planned.
Created: 2017-01-26 03:47:33.0
Updated: 2017-07-01 20:19:02.0
Pushed: 2017-04-01 05:44:28.0
Size: 1402
Language: R
GitHub Committers
User | Most Recent Commit | # Commits |
---|
Other Committers
User | Most Recent Commit | # Commits |
---|
This is a place to join and analyze data related to the Women's Marches. Potentially this can lead to further joining and analysis of data on resistance to Trump and support for rights or issues that Trump opposes, as the Scientists' March on Washington (and possibly others) are discussed about and planned.
Slack: #womens-march
Project Leads: @chris_dick, @nick, @margaret
Maintainers (people with commit access): TBD
Project Description: The purpose of this project is to understand geographic, messaging, and sentiment patterns around the Women's March as well as ongoing resistance to Trump as he opposes supporting certain issues.
The Women's March was the largest protest there has been in US History and occurred during a time when technology facilitates the movement of information and people more quickly and cheaply. Because of this, understanding the march through digital data and understanding key issues around the event can help to shed light on how people are responding to the current political climate in a more technology-driven environment. We hope to explore Twitter data that has been pulled, crowd estimates, spatial data, as well as other types of data that we can collect like survey, news, or other social media data, with goals of making insights gained from analysis known to the public. Questions we've started to ask are
In conducting this research, we hope to gain new insights and understand the Women's March through data and data visualizations rather than just through news, pictures, stories, and signs.
first-pr
: smaller issues to cut your teeth on as a first-time contributorbeginner-friendly
: issues suitable for those with less experience or in need of mentorshipTake a look at this list to get an idea of the tools and knowledge we're leveraging. If you're good with any of these, or if you'd like to get better at them, this might be a good project to get involved with!
To download the code and data inside this repository, you'll need Git. Once you've got the necessary tools, open a command prompt and run git clone https://github.com/data4democracy/womens-march.git
to start downloading your own working copy. Once the command finishes, you should see a new womens-march
directory in the current directory's file listing. That's where you'll find it!
thing
?“)/data
directory. At the moment, there is no further hierarchy beyond this; again, as we accumulate more data, this is likely to change.There are many ways to analyze the data in this repository, but “notebook” formats like Jupyter and R Markdown are the most common. The setup process for these tools is in-depth enough to be outside the scope of this README, so please refer to documentation at the aforementioned links if necessary. If something isn't working quite right for you, that's okay! Continue reading to see how you can reach out for assistance.
If you have questions or you'd like to discuss something on your mind, reach out to us in the #womens-march channel on Slack. Project leads and maintainers are available for troubleshooting, brainstorming, mentorship, and just about anything else you might need.
.ipynb
notebook files).Rmd
notebook files)