Cannabis Data Science

Cannabis Data Science

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Cannabis Data Science episodes

  • Snapping Up 50,000 Lab Results with Selenium | Cannabis Data Science #73
    🐒 Ever see a Python-powered data-snapping turtle? We're diving into the lake of PSI Labs' test results, snapping up cannabis lab data with turtle-like tenacity. By the end, we have a treasure trove of test results tucked safely away in our shell. Slow and steady might win the race, but in Cannabis Data Science, a quick snap seals the deal!🀝 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/πŸ§‘β€πŸ’» Find the data and source code: https://github.com/cannlytics/cannabis-data-scienceπŸ’Έ Support the group: https://opencollective.com/cannlytics-companyπŸ”₯ Check out Cannlytics: https://cannlytics.com
    48 min
  • Searching for Landrace Strains with Statistics | Cannabis Data Science #112
    πŸ’° Today we bag 125,000+ lab results from across the US, analyzing CA, CT, MA, MI, and WA state's most precious botanical data. And oh did we find treasures! Our quest? Seeking international cannabis varieties, in particular, landraces - the purest, oldest, and most genetically unaltered strains of our favorite plant.🌎 In this exciting expedition, we look into a variety of strains from Thai to Colombian to Durban Poison. Utilizing Python and Pandas, we navigate through seas of data, standardize THC, CBD, and terpene results, and shed light in the complex realm of plant chemistry.🌿 Enjoy! And remember, it's a beautiful world out there full of cannabis data - all you need is a handful of words to read. Dive in and find some landraces!🀝 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/πŸ§‘β€πŸ’» Find the data and source code: https://github.com/cannlytics/cannabis-data-scienceπŸ’Έ Support the group: https://opencollective.com/cannlytics-companyπŸ”₯ Check out Cannlytics: https://cannlytics.com
    1 hr 23 min
  • International Cannabis Trade | Cannabis Data Science #111
    🌿🌍We explore cannabis cultivation around the world. We discover cultivators in South Africa and count the number of licenses by province. As we paint a picture of the burgeoning cannabis industry in the Rainbow Nation, we discover pure gold!πŸ“Š Get ready for some difficult data collection, eye-catching visualizations, and a lively conversation about the global cannabis landscape.🀝 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/πŸ§‘β€πŸ’» Find the data and source code: https://github.com/cannlytics/cannabis-data-scienceπŸ’Έ Support the group: https://opencollective.com/cannlytics-companyπŸ”₯ Check out Cannlytics: https://cannlytics.com
    1 hr 10 min
  • Welcome to the Jungle Boys - Cannabis Brand Sentiment with AI | Cannabis Data Science #72
    🌴 Welcome to the dark understory of the cannabis industry. Join as we explore intensity and polarity by user, strain, and brand, searching for valuable insights that may help us understand cannabis user preferences and behavior.πŸ“Š Leveraging strain reviews, this intriguing analysis employs SIA (the Sentiment Intensity Analyzer) to rank review intensity and classify polarity. By providing a comprehensive view of user sentiments towards strains and brands, this example offers valuable insights into how you can study user preferences and brand reputation. The methodology guides you through a step-by-step setup process and data preparation for natural language processing (NLP). Ultimately, this exploration demonstrates the power of NLP to potentially determine users' favorite strains and a brand's favorability. You can walk away with a deeper understanding of the complex interplay between user sentiment, strains, and brands in the cannabis industry.🌿 Get the strain review data: https://cannlytics.page.link/reported-effects🀝 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/πŸ§‘β€πŸ’» Find the data and source code: https://github.com/cannlytics/cannabis-data-scienceπŸ’Έ Support the group: https://opencollective.com/cannlytics-companyπŸ”₯ Check out Cannlytics: https://cannlytics.com
    1 hr 12 min
  • Modelling Predilections to Cannabis Chemotypes | Cannabis Data Science #71

    🌟 Join the intriguing discussion of personality and cannabis preferences! Discover if your personality may affect the chemotype of cannabis you may like to consume. We delve into Revealed Preferences theory and The Big 5 Personality Traits (Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism) to uncover potential connections. 🧠🌿 Join us as we build a model between personality type and preferred chemotype, using consumer review data, lab results, and natural language processing (NLP) to detect personality traits. 🎭

    🀝 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/

    πŸ§‘β€πŸ’» Find the data and source code: https://github.com/cannlytics/cannabis-data-science

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

    πŸ”₯ Check out Cannlytics: https://cannlytics.com

    1 hr 9 min
  • Hypothesis Testing with Cannabis Data | Cannabis Statistics #3
    🎒Welcome to the thrilling world of cannabis statistics! In this action-packed exclusive episode, our intrepid team dives headfirst into an analysis of variance (ANOVA) adventure, exploring various intriguing data points from the Massachusetts Cannabis Control Commission.With the right tools in hand and the API primed, our data science heroes embark on a journey to gather vital intel on cannabis production, licensees, and average prices. But wait, there's more! The excitement continues as we compile novel data sets and create visually stunning histograms to illustrate our findings. Just when you thought it couldn't get any better, we uncover some fascinating discoveries, including:1. The dramatic before-and-after story of sales, plants, and inventory as the world faced unprecedented challenges.2. Statistics that reveal the mysterious link between pre-closure and post-closure changes in flower and concentrate sales.3. The fascinating relationship between square footage usage among various types of cannabis licenses.Armed with these invaluable insights, our data-savvy data scientists unlock the potential for even more in-depth analysis of the cannabis industry. So, buckle up and get ready for the next exciting chapter in this data-driven escapade!🀝 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/πŸ§‘β€πŸ’» Find the data and source code: https://github.com/cannlytics/cannabis-data-scienceπŸ’Έ Support the group: https://opencollective.com/cannlytics-companyπŸ”₯ Check out Cannlytics: https://cannlytics.com
    1 hr 21 min
  • Estimating Utility from Cannabis with Sentiment Analysis | Cannabis Data Science #70
    😊 In this long-awaited episode, we use natural language processing (NLP) to rank strain reviews by consumer and examine whether certain compounds are related to the review rankings. We build a model that you can use to determine if any specific compounds have a positive or negative relationship with the sentiment of consumer reviews. Follow along as we:1. Prepare and visualize strain and lab result data in Python.2. Perform sentiment analysis using the Natural Language Toolkit (nltk).3. Create utility functions with THC, CBD, and terpenes as preferences.🀝 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/πŸ§‘β€πŸ’» Find the data and source code: https://github.com/cannlytics/cannabis-data-scienceπŸ’Έ Support the group: https://opencollective.com/cannlytics-companyπŸ”₯ Check out Cannlytics: https://cannlytics.com
    1 hr 18 min
  • Structural Breaks in Cannabis Markets | Cannabis Statistics #2
    πŸ’Έ In an exclusive session, we explore data from the Massachusetts Cannabis Control Commission and the Federal Reserve Economic Data (FRED) to test if there have been structural breaks in consumer preferences and the aggregate cannabis production function (in MA). We use the Chow Test to deal with heterogeneity. We aggregate daily production data into monthly and quarterly averages, calculate sales differences, and get supplemental data from FRED. Then, we plot weekly and monthly data and test for structural breaks. This is another step in the classical work on cannabis statistics that you won't want to miss.🀝 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/πŸ§‘β€πŸ’» Find the data and source code: https://github.com/cannlytics/cannabis-data-scienceπŸ’Έ Support the group: https://opencollective.com/cannlytics-companyπŸ”₯ Check out Cannlytics: https://cannlytics.com
    1 hr
  • Applying Phylogenetics to Identify the Genesis of Cannabis Strains | Cannabis Data Science #96

    πŸ’‘In curiosity, we start applying phylogenetics to study the genesis of some of the most popular cannabis strains, including Runtz, Jack Herer, and Haze varieties. We are able to identify all Runtz varieties grown in Washington State in 2022, when each variety was first tested, and who grew the variety. The groundwork is then laid to untangle the web of strains with data of propagation techniques and plant transfers. The work of creating a timeline for the emergence of each and every cannabis strain has begun.

    🀝 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/

    πŸ§‘β€πŸ’» Find the data and source code: https://github.com/cannlytics/cannabis-data-science

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

    πŸ”₯ Check out Cannlytics: https://cannlytics.com

    49 min
  • PBO Did a Job on Me! Pesticide Detection in Cannabis | Cannabis Data Science #95

    πŸ› Join us as we uncover facts about pesticide use in the cannabis industry. Using public lab results, we identify various pesticides used and count the number of contaminated samples in Washington State. We also build a statistical model to predict the likelihood of detecting pesticides, such as Piperonyl butoxide (PBO), in cannabis flower and hydrocarbon concentrates.

    🀝 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/

    πŸ§‘β€πŸ’» Find the data and source code: https://github.com/cannlytics/cannabis-data-science

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

    πŸ”₯ Check out Cannlytics: https://cannlytics.com

    55 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.