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@@ -99,18 +99,18 @@ To explore additional free and premium datasets, visit our website [brightdata.c
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  The data collection process involved extracting information directly from IMDb, ensuring comprehensive coverage of the required attributes. Once collected, the data underwent several stages of processing:
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- - Parsing: Extracted raw data was parsed to convert it into a structured format.
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- - Cleaning: The cleaning process involved removing any irrelevant or erroneous entries to enhance data quality.
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  ### Validation:
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  To ensure data integrity, a validation process was implemented. Each entry is checked across various attributes, including:
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- - Uniqueness: Each record was checked to ensure it was unique, eliminating any duplicates.
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- - Completeness: The dataset was examined to confirm that all necessary fields were populated or filled, with missing data addressed appropriately.
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- - Consistency: Cross-validation checks were conducted to ensure consistency across various attributes, including comparison with historical records.
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- - Data Types Verification: Ensured that all data types were correctly assigned and consistent with expected formats.
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- - Fill Rates and Duplicate Checks: Conducted comprehensive checks to verify fill rates, ensuring no significant gaps in data, and rigorously screened for duplicates.
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  This ensures that the dataset meets the high standards of quality necessary for analysis, research and modeling.
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  The data collection process involved extracting information directly from IMDb, ensuring comprehensive coverage of the required attributes. Once collected, the data underwent several stages of processing:
101
 
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+ - **Parsing**: Extracted raw data was parsed to convert it into a structured format.
103
+ - **Cleaning**: The cleaning process involved removing any irrelevant or erroneous entries to enhance data quality.
104
 
105
  ### Validation:
106
 
107
  To ensure data integrity, a validation process was implemented. Each entry is checked across various attributes, including:
108
 
109
+ - **Uniqueness**: Each record was checked to ensure it was unique, eliminating any duplicates.
110
+ - **Completeness**: The dataset was examined to confirm that all necessary fields were populated or filled, with missing data addressed appropriately.
111
+ - **Consistency**: Cross-validation checks were conducted to ensure consistency across various attributes, including comparison with historical records.
112
+ - **Data Types Verification**: Ensured that all data types were correctly assigned and consistent with expected formats.
113
+ - **Fill Rates and Duplicate Checks**: Conducted comprehensive checks to verify fill rates, ensuring no significant gaps in data, and rigorously screened for duplicates.
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  This ensures that the dataset meets the high standards of quality necessary for analysis, research and modeling.
116