WIA-DATA-005 Simulator - Data Quality ✅

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📊 Data Profiling

🔍 Validation Rules

📈 Quality Monitoring

🧹 Data Cleansing

🎯 Great Expectations

📊 Data Profiling

Analyze data structure, patterns, and statistics to understand data quality.

Paste Your Dataset (CSV format):

🔍 Validation Rules

Define and test data validation rules for quality assurance.

Test Data (JSON format):

Validation Rules

Email must be valid format

Age must be between 18 and 100

Salary must be positive

Phone must match pattern

📈 Quality Monitoring Dashboard

Real-time monitoring of data quality metrics and KPIs.

🧹 Data Cleansing

Detect and correct data quality issues automatically.

Dirty Data (JSON Array):

Cleansing Rules

Trim whitespace

Normalize case (proper case for names)

Standardize email (lowercase)

Convert data types

Remove invalid values

🎯 Great Expectations Testing

Define expectations and validate data against them.

Test Dataset (CSV):

Great Expectations Suite

expect_column_values_to_not_be_null (user_id)

expect_column_values_to_be_unique (user_id)

expect_column_values_to_match_regex (email)

expect_column_values_to_be_between (age, 18-100)

expect_column_values_to_match_strftime_format (signup_date)

✅ WIA-DATA-005 Interactive Simulator

📊 Data Profiling

Profile Results

🔍 Validation Rules

Validation Rules

Validation Results

📈 Quality Monitoring Dashboard

Data Quality Dimensions

Overall Quality Score

🧹 Data Cleansing

Cleansing Rules

Cleansing Results

🎯 Great Expectations Testing

Great Expectations Suite

Test Results