Analyzing Product Data for Avocados 🥑

This webpage analyzes data on price flutation, value drivers for purchasing, and consumption trends of Avocados! We will start by sourcing data then forming insights-- scroll to the end for a sample walkthrough. This is meant to help people better understand the trends of the Avocado industry and its consumers to make more informed decisions at the grocery store. The metrics used in this webpage, such as seasonality and value differentiation, can be applied to other produce items as well.



Finding Data Sources

Kaggle is the world's largest data science community with powerful tools and resources to help with Data Analysis and Machine Learning. The Dataset used is called "Analyzing Avocado Prices"

Statistica is a software suite for data analysis, management, visualization, and mining. The Dataset used is called "Consumers' Main Drivers for buying Avocados in the US"

Tastewise is the GenAI-powered consumer data platform for the food and beverage industry. The Dataset used is called "Consumption Analysis for Avocados"



Gaining Insights

Kaggle: Analyzing Avocado Prices

This is a dataset that can be used to forecast Avocado prices by considering the type (organic/conventional), seasonality, and average flutation levels. Organic avocados are on average more expensive throughout the year, but also experience higher levels of price fluctuation than conventional. Fluctuations do not happen on a fixed frequency. For both types, prices peak between September and October, with a significant drop at the end of the year.

Statistica: Consumers' Main Drivers for buying Avocados in the US

This study by the Hass Avocado Board surveyed 2,400 adult grocery shoppers from the US in 2022 about why they purchase Avocados. Some of the top value drivers for consumers buying Avocados include health benefits and preferences towards the taste and texture. 79% of respondents said they believe Avocados are healthy. Some consumers and their families also enjoy the uniqueness of the fruit (or vegetable if you want) but Avocados being their favorite fruit was the lowest response at 43%. The price is also a lower driver, most likely due to the fluctuating price and widely accepted notion that Avocados are expensive.

Tastewise: Consumption Analysis of Avocados

This Tastewise study analyzes what consumers use Avocados for and what they use it with. The top rising consumer need for them for is as a source of protein, nearly double of the runner up response. The study suggests this is because the major diet associated with Avocados is veganism. The top ingredient complementing Avocados is toast. Social conversations about avocados have decreased by 19.38% over 2024, and 35.80% of restaurants offer avocado on their menus.





Sample Walk-through

Case Study: Avocado Sales Analysis and Prediction Using Python

This is a case study analyzing the above Kaggle dataset in order to create a dashboard regarding Avocado sales trends. The author's analysis on how regions and seasons affect prices and access to Avocados pairs with our insights above to help make more informed decisions when purchasing Avocados. The author also points out that conventional type avocados have higher demand than organic type.

After considering if the price of the Avocado is reasonable given the type, season, and region the consumer is in, they can then consider the value drivers of avocados. If the consumer has a vegan diet and enjoys the taste of avocados, buying them could be a great source of protein! If the consumer has a non-vegitarian diet and avocados are at a good price, they should consider what ingredients they have at home to complement the Avocados and what they are looking to add to their diet (for example, they need more snacks or fitness meals).

Thanks for Reading!

https://www.kaggle.com/code/janiobachmann/price-of-avocados-pattern-recognition-analysis https://www.statista.com/statistics/317753/us-consumers--main-drivers-for-buying-avocados/ https://tastewise.io/foodtrends/avocado https://medium.com/@rpangarego/case-study-avocado-sales-analysis-and-prediction-using-python-850cf93939f8