Update README.md

README.md

@@ -72,17 +72,22 @@ To explore additional free and premium datasets, visit our website [brightdata.c
 ## Dataset Creation
 
 ### Data Collection and Processing
+
 The data collection process involved extracting information directly from Goodreads, ensuring comprehensive coverage of the required attributes. Once collected, the data underwent several stages of processing:
-- Parsing: Extracted raw data was parsed to convert it into a structured format.
-- Cleaning: The cleaning process involved removing any irrelevant or erroneous entries to enhance data quality.
 
-### Validation
+- **Parsing**: Extracted raw data was parsed to convert it into a structured format.
+- **Cleaning**: The cleaning process involved removing any irrelevant or erroneous entries to enhance data quality.
+
+### Validation:
+
 To ensure data integrity, a validation process was implemented. Each entry is checked across various attributes, including: 
-- Uniqueness: Each record was checked to ensure it was unique, eliminating any duplicates.
-- Completeness: The dataset was examined to confirm that all necessary fields were populated or filled, with missing data addressed appropriately.
-- Consistency: Cross-validation checks were conducted to ensure consistency across various attributes, including comparison with historical records.
-- Data Types Verification: Ensured that all data types were correctly assigned and consistent with expected formats.
-- Fill Rates and Duplicate Checks: Conducted comprehensive checks to verify fill rates, ensuring no significant gaps in data, and rigorously screened for duplicates.
+
+- **Uniqueness**: Each record was checked to ensure it was unique, eliminating any duplicates.
+- **Completeness**: The dataset was examined to confirm that all necessary fields were populated or filled, with missing data addressed appropriately.
+- **Consistency**: Cross-validation checks were conducted to ensure consistency across various attributes, including comparison with historical records.
+- **Data Types Verification**: Ensured that all data types were correctly assigned and consistent with expected formats.
+- **Fill Rates and Duplicate Checks**: Conducted comprehensive checks to verify fill rates, ensuring no significant gaps in data, and rigorously screened for duplicates.
+
 This ensures that the dataset meets the high standards of quality necessary for analysis, research and modeling.
 
 ## Example JSON