Movie Analyzer

Appendix to report

Appendix A: Data Cleaning Description

Data Cleaning Steps

  1. Handling Missing Values:

    • Checked for missing values in each column.

    • None detected

  2. Data Type Conversion:

    • Ensured appropriate data types for each column.

    • Converted relevant columns to factors for categorical variables.

  3. Outlier Detection and Removal:

    • Identified outliers using visualization and statistical methods.

    • None detected

  4. Duplicate Removal:

    • Checked for and removed duplicate rows from the dataset.

  5. Standardization:

    • Standardized column names for consistency.

  6. Final Dataset Export:

    • Exported the cleaned and processed dataset to a CSV file for analysis.

Appendix B: Additional Analyses

Analysis 2: Genre-Specific Correlations

Investigated correlations within specific movie genres. Explored whether certain genres exhibited unique patterns in the relationships between parameters.

Analysis 3: Audience vs. Critic Ratings

Compared audience and critic ratings from IMDb and Rotten Tomatoes. Analyzed how the perception of movies differed between these two rating systems.

Note :

The appendices provide additional insights into the data cleaning process and showcase supplementary analyses that, while not included in the main report, offer a more comprehensive view of our exploration and findings. The main report focuses on the primary objectives and key results, while the appendices serve as a repository for supporting details and alternative analyses.