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Grouped Seasons Genders

✓ Published0🌍 Public
Mmacgregorm01@gmail.com
Last edited Nov 13, 2024
Created on Nov 13, 2024

This example visualizes the total sales for each season, broken down by gender, using a simple dataset derived from the Shopping Habits Dataset. The rendering displays the raw data from the CSV file as formatted JSON text within an HTML container. The code loads the data with an import statement, converts the `Total_Sales` values to numbers, and uses a container’s `innerHTML` property to present the first data record with a specific font size.

AI-generated description

The Shopping Habits Dataset

The description comes from the original dataset source:

The Shopping Habits Dataset provides insight into consumer preferences, tendencies, and patterns during their shopping experiences. The dataset includes a range of variables, including demographic information, purchase history, product preferences, shopping frequency, and online/offline shopping behavior. This data allows analysts and researchers to further understand consumer decision-making processes, helping businesses to craft targeted marketing strategies, optimizing product offerings, and enhancing overall customer satisfaction.

Five tasks to be completed on this dataset:

  1. I want to identify which states have the best review ratings.
  2. I want to visualize the distribution of items purchased by gender.
  3. I want to understand which items and categories are being purchased most in each season.
  4. I want to determine if there is a correlation between the purchase amount and presence of discounts or promo codes.
  5. I want to be able to see if certain colors of each item are being purchased most.
MIT Licensed

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