Cannabis Data Science

Cannabis Data Science

By CannlyticsScienceChemistryMathematics
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Cannabis Data Science episodes

  • Heritability of Cannabis THC and CBD Content | Cannabis Data Science #94

    ๐Ÿงฌ Join us as we dive into the question of how much THC and CBD in cannabis is influenced by genetics versus the environment. We uncover research published 35 years ago that gives us a starting point to untangle the variation observed in THC and CBD levels. Don't miss this opportunity to learn more about cannabis and its genetics!

    ๐Ÿค Join the fun, data wrangling, and analytics in the Cannabis Data Science meetup, every Wednesday at 8:30am PST | 10:30am CDT | 11:30am EST. https://www.meetup.com/cannabis-data-science/

    ๐Ÿง‘โ€๐Ÿ’ป Find the data and source code: https://github.com/cannlytics/cannabis-data-science

    ๐Ÿ’ธ Support the group: https://opencollective.com/cannlytics-company

    ๐Ÿ”ฅ Check out Cannlytics: https://cannlytics.com

    1 hr 6 min
  • The Cannlytics 2022 420 Awards | Cannabis Data Science #93

    Get ready to dive into the world of cannabis sales in Washington for 2022! We crunch gigabytes to uncover the top performers in the industry. We calculate sales by licensee on a daily and monthly basis, compile statistics, and use iteration to make sure that we've got all the data we need. And the best part? We tell you exactly who sold the most on the most important day of the year, 4/20, as well as who had the highest sales for the entire year, and who had the biggest single day sales of all. Join us and discover who are Washington's top players.

    ๐Ÿค Join the fun, data wrangling, and analytics in the Cannabis Data Science meetup: https://www.meetup.com/cannabis-data-science/

    ๐Ÿง‘โ€๐Ÿ’ป Find the data and source code: https://github.com/cannlytics/cannabis-data-science

    ๐Ÿ’ธ Support the group: https://opencollective.com/cannlytics-company

    ๐Ÿ”ฅ Check out Cannlytics: https://cannlytics.com

    1 hr 25 min
  • Contamination and Anomaly Detection with Benford's Law | Cannabis Data Science #92

    ๐Ÿ•ต๏ธ Molds and diseases and pests, oh my! We confront some of the many cannabis contaminants and discuss how they affect producers and consumers alike. We also discuss the laboratories screening for contaminants and how any anomalies could be detected with an application of Benford's Law.

    ๐Ÿค Join the fun, data wrangling, and analytics in the Cannabis Data Science meetup: https://www.meetup.com/cannabis-data-science/

    ๐Ÿง‘โ€๐Ÿ’ป Find the data and source code: https://github.com/cannlytics/cannabis-data-science

    ๐Ÿ’ธ Support the group: https://opencollective.com/cannlytics-company

    ๐Ÿ”ฅ Check out Cannlytics: https://cannlytics.com

    ๐Ÿ“– Get a copy of Hemp Diseases and Pests: https://www.amazon.com/Hemp-Diseases-Pests-Management-Biological/dp/0851994547

    45 min
  • Solutions for Cannabis QC Testing Lab Shopping | Cannabis Data Science #91

    ๐Ÿ”ฌ We tackle the sticky issue of lab shopping for cannabis quality control tests: the phenomena of cannabis cultivators patronizing labs that flout quality control testing regulations.

    ๐Ÿค Join the fun, data wrangling, and analytics in the Cannabis Data Science meetup, every Wednesday at 8:30am PST | 10:30am CDT | 11:30am EST. https://www.meetup.com/cannabis-data-science/

    ๐Ÿง‘โ€๐Ÿ’ป Find the data and source code: https://github.com/cannlytics/cannabis-data-science

    ๐Ÿ’ธ Support the group: https://opencollective.com/cannlytics-company

    ๐Ÿ”ฅ Check out Cannlytics: https://cannlytics.com

    47 min
  • Forecasting the Future Size of a Cannabis Market | Cannabis Statistics #1 Q&A

    ๐Ÿš€ We forecast cannabis sales (and plants) in Massachusetts for the remainder of 2021 and for 2022 using Box-Jenkins methodology (ARIMA modelling). We visualize and save the forecasts so that we can compare the forecasts with actual data in the future. ๐Ÿค Join the fun, data wrangling, and analytics in the Cannabis Data Science meetup: https://www.meetup.com/cannabis-data-science/ ๐Ÿง‘โ€๐Ÿ’ป Find the data and source code: https://github.com/cannlytics/cannabis-data-science ๐Ÿ’ธ Support the group: https://opencollective.com/cannlytics-company ๐Ÿ”ฅ Check out Cannlytics: https://cannlytics.com ๐Ÿ“– You can get a copy of Economic and Business Forecasting here: https://www.amazon.com/Economic-Business-Forecasting-Interpreting-Econometric/dp/1118497090

    23 min
  • Forecasting the Future Size of a Cannabis Market | Cannabis Statistics #1

    ๐Ÿš€ We forecast cannabis sales (and plants) in Massachusetts for the remainder of 2021 and for 2022 using Box-Jenkins methodology (ARIMA modelling). We visualize and save the forecasts so that we can compare the forecasts with actual data in the future.

    ๐Ÿค Join the fun, data wrangling, and analytics in the Cannabis Data Science meetup: https://www.meetup.com/cannabis-data-science/

    ๐Ÿง‘โ€๐Ÿ’ป Find the data and source code: https://github.com/cannlytics/cannabis-data-science

    ๐Ÿ’ธ Support the group: https://opencollective.com/cannlytics-company

    ๐Ÿ”ฅ Check out Cannlytics: https://cannlytics.com

    ๐Ÿ“– You can get a copy of Economic and Business Forecasting here: https://www.amazon.com/Economic-Business-Forecasting-Interpreting-Econometric/dp/1118497090

    30 min
  • Statistics with Big Data | Cannabis Data Science #51

    Calculating statistics on large datasets is difficult, but simple statistics, if able to be calculated, can provide enormous value, provide deep insights, spark ideas for future research, and identify aspects that need further magnification.

    • Support the group: https://opencollective.com/cannlytics-company

    • Find the data and source code: https://github.com/cannlytics/cannabis-data-science

    • Join the meetup: https://meetup.com/cannabis-data-science

    Contributors:

    • Candace O'Sullivan-Sutherland (@candy-0)

    • Hector Cadeaux (@hcadeaux)

    58 min
  • Data Augmentation and Visualization | Cannabis Data Science #50

    It is imperative to have the right tools (and data) for the task at hand. The idea is to merge objects by common factors, retaining the data points that you need in your analysis. Once you have augmented data, then you have created value by facilitating analyses that could not otherwise be performed or visualizations that can only be created with the augmented data.

    Get cannabis data: https://cannlytics.com/data

    Get cannabis statistics: https://cannlytics.com/stats

    Support the group: https://opencollective.com/cannlytics-company

    Find the data and source code: https://github.com/cannlytics/cannabis-data-science

    33 min
  • Processing Cannabinoids and Managing Inconsistencies | Cannabis Data Science #49

    The lesson of the week: variability matters. We go back in time to discuss the origins of cannabinoid processing, early cannabinoid research, and the development of cannabinoid extraction techniques.

    Support the group: https://opencollective.com/cannlytics-company

    Find the data and source code: https://github.com/cannlytics/cannabis-data-science

    Check out Cannlytics: https://cannlytics.com

    55 min
  • Predicting Laboratory Profitability | Cannabis Data Science #48

    You're not going to want to miss this meetup, especially if you're a lab owner. This week at the Cannabis Data Science meetup we calculate possibly the most important metric to your bottom line. Whether or not your lab is in business in 5 years from now depends on this metric.

    Support the group: https://cannlytics.page.link/donate

    Find the data and source code: https://github.com/cannlytics/cannabis-data-science",

    Check out Cannlytics: https://cannlytics.com

    1 hr 6 min

About Cannabis Data Science

From the publisher's feed

You can join a group of like-minded individuals who are interested in learning about how to apply data science to cannabis data. Utilize the web and APIs to get the data that you need. Wrangle the data like a pro into a format suitable for analysis. Then calculate statistics to your heart's galore. Furthermore, learn how to build forecasting and prediction models to get an upper-hand on your competition.