Exploring the LEGO Universe: Dataset Analysis

Objectives: Data Exploration: Begin by examining the structure and contents of the dataset to gain insights into the available information. Set Analysis: Explore the distribution of the number of pieces in LEGO sets and investigate the relationship between set price, piece count, and theme popularity to uncover insights about pricing strategies and consumer preferences. Release analysis: Explore patterns in the timing and frequency of LEGO set releases, identifying peak release years and any other trends.

Methodology:

1. **Data Preparation:** Cleanse and preprocess the dataset, handling missing values and inconsistencies.
   

2. **Exploratory Data Analysis (EDA):** Use descriptive statistics, data visualization techniques, and hypothesis testing to uncover patterns and relationships within the data.
   

3. **Visualization:** Create visualizations such as bar charts, line graphs, and scatter plots to present findings in an easily understandable manner.
   

4. **Statistical Analysis:** Apply statistical techniques to validate hypotheses and draw meaningful conclusions from the data.