Skip to content

Latest commit

 

History

History
100 lines (71 loc) · 6.13 KB

README.md

File metadata and controls

100 lines (71 loc) · 6.13 KB

🌱 Cannabis Data Science 📈

This is the source repository for the Cannabis Data Science Meetup Group. The group meets Wednesdays at 8:30am PST / 10:30am CDT / 11:30am EST / your time. You are always welcome to join us for a fun time crunching cannabis statistics. You can catch up with prior meetups here: cannlytics.com/videos

👩‍🔬 About

At Cannabis Data Science meetups, you can learn how to get, wrangle, and analyze cannabis data. You can learn how to utilize the web and APIs to get the data that you need. You can learn how to wrangle the data like a pro into a format suitable for analysis, then calculate statistics to your heart's galore. Furthermore, you can learn how to build forecasting and prediction models to get an upper-hand on your competition. You can join like-minded individuals, learn modern data science techniques, and go through hands-on exercises with real cannabis data. This is a great opportunity for anyone in a cannabis-testing lab, anyone working at a cannabis cultivation or processing plant, any cannabis retailer, and even any cannabis researcher or consumer seeking knowledge. Please join us for a coffee or tea every Wednesday at 8:30am PST / 10:30am CDT / 11:30am EST / your time for a fun time crunching cannabis numbers.

📅 Events

The current roster of events is below. You are always welcome to reach out with any questions, ideas, thoughts, comments, or anything else that you may like to mention. You can send event suggestions to keegan@cannlytics.com.

Event Day Time
Cannabis Data Science Wednesdays 8:30am PST / 10:30am CDT / 11:30am EST / your time
Saturday Morning Statistics Saturdays 8:30am PST / 10:30am CDT / 11:30am EST / your time

🏃‍♀️ Getting Started

First things first, you can clone the repository.

git clone https://github.com/cannlytics/cannabis-data-science.git

The majority of examples are written in Python. If you install Anaconda, then you can create a virtual environment with all of the packages that you will need with the following command-line commands.

conda create --name cds python=3.9
conda activate cds
pip install -r requirements.txt

You should now be off to the races and able to run most scripts, following any script-specific instructions and downloading any necessary datasets. Please see the data sources below to find datasets used.

📡 Data Sources

Below is a non-exhaustive list of some of the public cannabis data sets that we have worked with.

Dataset URL
Massachusetts Cannabis Control Commission Data Catalog https://masscannabiscontrol.com/open-data/data-catalog/
WA State Traceability Data January 2018 - November 2021 https://lcb.app.box.com/s/e89t59s0yb558tjoncjsid710oirqbgd
WA Traceability Data - Jan. 18 to Dec. 2020 https://lcb.app.box.com/s/fnku9nr22dhx04f6o646xv6ad6fswfy9

📚 Resources

Resource URL
Cannabis Data Science Meeting Link https://meet.google.com/ifq-jtmc-nuh
WA Traceability Data Guide https://lcb.wa.gov/sites/default/files/publications/Marijuana/traceability/WALeafDataSystems_UserManual_v1.37.5_AddendumC_LicenseeUser.pdf

🤝 Contributing

Contributions are always welcome! You are encouraged to submit issues, functionality, and features that you want to be addressed. You can also develop your own new features, fix known issues, and add documentation, tests, and examples. Anyone is welcome to contribute anything. You can refer to the Cannlytics contributing guide for more information about contributing to the Cannlytics ecosystem in general.

❤️ Support

The Cannabis Data Science meetup group and the accompanying source code is made available with ❤️ and your good will. Please consider making a contribution to help us continue crafting useful code and wrangling new datasets for you.

💸 PayPal Donation https://cannlytics.page.link/donate
🪙 Bitcoin donation address 34CoUcAFprRnLnDTHt6FKMjZyvKvQHb6c6
⚡ Ethereum donation address 0x8997cA09B3FAe2ce4039E295A5269cf4ae7a0BA5

Thank you 🙏

🏛️ License

Copyright (c) 2021-2022 Cannlytics

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.