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https://github.com/dimitryzub/allrecipes-us-recipes-by-state-analysis

Personal Data Exploratory Project in Python. Data extracted from AllRecipes.
https://github.com/dimitryzub/allrecipes-us-recipes-by-state-analysis

data data-visualization dataexploration dataextraction matplotlib pandas python seaborn webscraping

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Personal Data Exploratory Project in Python. Data extracted from AllRecipes.

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# AllRecipes - USA Recipes Analysis By Every State

## Project Goals

1. What is the most common ingidients across all recipes? Top 3-5-10 ingidients.
2. What is the most ingidient(s) by State?
3. Which state has more avarage number of reivews?
4. What most loved (analyzed by nubmber of reviews/rating) dish each state have? Like Arizona - beef.
5. What is an avarage Prep/Cook time per State?
6. What is an avarage Servings per State?
7. Which state has the biggest avarage of Calories/Fat/Carbs/Protein/etc?
8. What is the most popular recipes category?
9. What is the avarage reviews/rating count per category?
10. What is the most popular recipe provider (Recipe by "...")

## Key Takeaways

1. Arizona has higher avarage reviews: 418.
2. Desserts category is the most popular.
3. Avarage recipe Rating: 4, Reviews: 132.
4. Category with the higher number of reviews is 'Bread': 7722 reviews.
5. Most reviewed dish
6. Avarage cook time (preparation and cooking itself) is around 183.4 miuntes.
- Italian, Pork and Everyday cooking categories has the longest total cook time.
7. Top categories with avarage highest servings: Cookies (36), Sauces and condiments (26), Everyday cooking (24).
8. Wayoming has the longest avarage cook time: 159 min.
9. Illinoins has the highest calories.
10. Highest nutritions per category:
- Calories: Everyday Cooking (2057g)
- Fat: Meat and Poultry (170g)
- Carbs: Mini Foods (177g)
- Protein: Seafood (118g)

## Data Sources

Publicly available from the [AllRecipes - U.S. Recipes by State](https://www.allrecipes.com/recipes/17425/us-recipes/us-recipes-by-state/). Not an API, parsed by myself using own script.

Every recipes from all states has been collected.

## Analysis Methods

- Exploratory analysis.

## Tech Stack

- Python. Refer to [`requriments.txt`](https://github.com/dimitryzub/us-recipes-analysis-by-state/blob/85e0162f06fb9cb84a6b387b4d27ad05b0afe304/requirements.txt) for all packages.

## What more could be done

1. Extract individual ingridient.
2. Properly sort stacked bar chart.
## Explore Yourself

[![Open in Gitpod](https://gitpod.io/button/open-in-gitpod.svg)](https://github.com/dimitryzub/us-recipes-analysis-by-state)

Kaggle dataset: https://www.kaggle.com/datasets/dimitryzub/allrecipes-all-us-recipes-by-state