Overview:
This LEGO analysis explores the long history of LEGO themes to identify which one has the most sets. Using data analysis techniques, the total number of sets for each theme is calculated and visualized to reveal the most popular LEGO themes over time.
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Key Features:
1. Reading and Processing Data:
The analysis starts by loading a CSV file with pandas, containing LEGO set data spanning the company’s history.
2. Data Cleaning:
The dataset is cleaned to ensure that only relevant information, such as themes and set counts, is analyzed.
3. Theme-Based Set Calculation:
The total number of LEGO sets is calculated for each theme, allowing the identification of which theme has the most sets over the years.
4. Visualization with Matplotlib:
A graph is created using matplotlib to visually represent the data, showing the most prolific LEGO themes.
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