For this view on my personal purchase data, we check on my preference for value, by looking at the subjective rank I apply to each offering by the price I paid for it.

One of the dimensions I review on is price, so unlike my look at cannabinoid content against rank, I expect to see strong support for the trend in this data. I deliberately try to give a better rank to offerings with a higher value proposition. More often than not, I rank the offering before I calculate the comparative market information, hopefully restricting the rank to ‘my idea’ of the value of the cultivar, which may not always be accurate… this is a good check to see how I did.

As is the nature of retail, every listing of retail cannabis has a price. As such, we can look at this view regardless of vendor. The top chart shows the price per gram of my purchases across any vendor, producer and package size, by rank. I’ve shown a trend line and some statistical values (r² and p-value) to support the trend. At the time of writing, I see partial support for the gradual trend shown in the chart.

Additionally, support for the trend increases as the dataset is restricted to the top 50 ranked offerings. Suggesting I may more accurate at ranking closer to the trend for listings a feel are ‘comparatively better’. Also interesting to note, in the top ten of ranked listings, support for the trend decreases again, but not below a minimum level of support for the hypothesis. I’ve left the filter at the top of the infographic so you can verify the change in p-value as well.

Below, we show a breakdown for each review. Price per gram is denoted by the bar chart and colour. Hover/tap for comparative pricing and ranking information, with difference from averages at the cultivar level.

This infographic is connected to the my personal purchase dataset, and will update periodically as I purchase/review new offerings.

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