Data Quality Checks with Pandas | Dataford Interview Questions

Using Pandas, how would you implement data quality checks and find outliers in a dataset?

Asked in the R1 Technical stage. Easy questions on Pandas around Data Quality checks, finding Outliers.

Output

One row per record in the input dataset
Columns: record_id, missing_fields, is_duplicate, is_outlier, quality_flag
Include every row, and sort by record_id ascending

records

Column	Type	Description
record_idPK	INT	Unique record identifier
customer_id	VARCHAR(50)	Customer identifier
amount	DECIMAL(10,2)	Numeric value used for outlier detection
event_date	DATE	Date of the record
region	VARCHAR(50)	Region associated with the record

Your question is Data Quality Checks with Pandas. Start with the requirements and the one table in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.

Using Pandas, how would you implement data quality checks and find outliers in a dataset?

Asked in the R1 Technical stage. Easy questions on Pandas around Data Quality checks, finding Outliers.

One row per record in the input dataset
Columns: record_id, missing_fields, is_duplicate, is_outlier, quality_flag
Include every row, and sort by record_id ascending

records

Column	Type	Description
record_idPK	INT	Unique record identifier
customer_id	VARCHAR(50)	Customer identifier
amount	DECIMAL(10,2)	Numeric value used for outlier detection
event_date	DATE	Date of the record
region	VARCHAR(50)	Region associated with the record

Your question is Data Quality Checks with Pandas. Start with the requirements and the one table in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.