Datasets by use case

Datasets for Data Analyst Portfolio Projects

Hiring managers have seen the Titanic and Superstore projects a thousand times. A portfolio project stands out when the data is fresh and the question is a business one: why do customers return products, which employees leave, where do tickets get stuck. Each dataset here comes with a business question worth answering and presenting.

Business questions with a clear answer

Product returns by reason and refund amount, employee attrition with its likely drivers, IT tickets against their SLA dates, and quality scores by shift and factory.

E-commerce22 cols · 200 rows

Online Retail Product Return Analytics

This dataset provides detailed, flat records of e-commerce product returns, including transaction details, customer demographics, product information, and reasons for return. It is designed for supply chain optimization, quality improvement, and customer experience analysis, enabling granular insights into return patterns and drivers across products and customer segments.

product_namereturn_reasonrefund_amount
UltraHD Smart TV 55indefective449.99
Womens Summer Dress Lsize issue39.99
Modern Floor Lamp Blacknot as described125
time_to_return_daysreturn_methodcustomer_country+16 more
Human Resources26 cols · 200 rows

Employee Attrition Prediction Dataset

This dataset provides detailed HR records for employees, including demographics, job history, satisfaction, performance, and attrition status. It is ideal for building predictive models to identify turnover risks, analyze workforce trends, and inform retention strategies. Rich features enable advanced analytics for HR decision-making and organizational planning.

first_namelast_namemarital_status
RiyaPatelMarried
CarlosDominguezSingle
AishaOkaforWidowed
employee_idgenderdate_of_birth+20 more
Technology20 cols · 200 rows

IT Service Ticket Classification

This dataset contains detailed records of IT service tickets, combining structured metadata (such as priority, category, and assignment) with rich ticket descriptions suitable for natural language processing. It enables automated ticket triage, prioritization, and advanced analytics for IT support operations, making it ideal for machine learning and process optimization.

ticket_subjectcategorypriority
Laptop battery fails to chargehardwaremedium
Cannot print from office printerhardwarehigh
Server room temperature alerthardwarecritical
departmentstatusurgency+14 more
Manufacturing15 cols · 200 rows

Manufacturing Quality Control Dataset

This dataset provides detailed manufacturing quality control records, including batch production information, inspection results, defect types and severities, and quality scores. It enables manufacturers to monitor process performance, identify recurring issues, and drive continuous improvement in product quality and operational efficiency.

shiftquality_scoredefect_type
afternoon99.7–
morning87.4–
night81.1scratch
batch_iddefect_severityrework_required+9 more

Customers and money

SaaS accounts with usage and retention, categorised bank transactions, and pharmacy sales against stock and expiry dates.

Technology18 cols · 200 rows

B2B SaaS Usage Retention

This dataset provides comprehensive retention and engagement metrics for B2B SaaS customers, including subscription details, user activity, feature usage, and churn risk scores. It enables customer success teams to monitor long-term engagement, identify at-risk accounts, and optimize strategies for churn prevention and customer health. Ideal for SaaS analytics, customer lifecycle management, and predictive modeling.

customer_namesubscription_statusplan_type
Alpha Technologies Inc.activeEnterprise
Beta Financial GroupactivePro
Gamma Retail SolutionsactiveBasic
customer_idindustryaccount_manager+12 more
Finance17 cols · 200 rows

Bank Transaction Categorization Sample

This dataset contains labeled bank transaction records, including detailed transaction metadata, merchant information, and manually or automatically assigned expense categories. It is ideal for developing, training, and benchmarking automated expense categorization models for personal finance, budgeting, and regulatory compliance applications.

merchant_nameamountcategory
Whole Foods Market-95.32groceries
ACME Corp2500income
Netflix-56.8entertainment
posting_dateis_recurringmerchant_category_code+11 more
Healthcare20 cols · 200 rows

Pharmacy Inventory Sales Forecast

This dataset provides detailed historical sales and inventory records for top pharmacy products, including batch-level expiration and restock information, store locations, and transaction details. It enables precise inventory optimization, demand forecasting, and proactive management of product expirations across multiple pharmacy locations.

product_namecategorystore_name
Ibuprofen 200mganalgesicHealthFirst Pharmacy
Amoxicillin 500mgantibioticCare Max
Vitamin D3 1000IUsupplementPharmaTrust
sale_idproduct_idmanufacturer+14 more

Operations and health

Shipment delays by carrier and route, hospital readmissions with length of stay, and social posts with sentiment for a text analysis piece.

Logistics25 cols · 200 rows

Logistics Shipment Delay Prediction

This logistics shipment delay prediction dataset provides granular details on shipments, including route information, carrier performance, weather conditions, and both predicted and actual delays. Designed for supply chain managers and analysts, it enables proactive scheduling, risk assessment, and service optimization by offering actionable insights into delay patterns and their causes.

carrier_nameroute_typevehicle_type
SwiftLine Logisticshighwaytruck
EuroFreight GmbHrailtrain
Pacific Transporthighwaytruck
shipment_idscheduled_departure_datetimeactual_departure_datetime+19 more
Healthcare22 cols · 200 rows

Hospital Readmission Prediction

This dataset provides detailed, labeled records of hospital admissions, including patient demographics, diagnoses, procedures, and outcomes related to readmission. It is designed to support predictive modeling for hospital readmissions, enabling health systems to identify risk factors, optimize care transitions, and reduce costs. The comprehensive schema facilitates advanced analytics and machine learning applications in healthcare quality improvement.

readmittedadmission_typeinsurance_type
falseelectiveprivate
trueemergencymedicare
falseemergencymedicare
patient_idadmission_idadmission_date+16 more
Social Media14 cols · 200 rows

Social Media Sentiment Dataset

This dataset contains synthetic social media posts and their associated comments, each labeled with sentiment (positive, negative, neutral) and optional sentiment scores. It is designed for training and benchmarking machine learning and NLP models in social analytics, enabling fine-grained sentiment analysis across multiple platforms and languages.

post_sentiment_labelcomment_sentiment_labelplatform
positivepositivetwitter
positivepositivefacebook
positivepositiveinstagram
post_iduser_idpost_datetime+8 more

Every dataset in this collection

10 datasets

E-commerce22 cols · 200 rows

Online Retail Product Return Analytics

This dataset provides detailed, flat records of e-commerce product returns, including transaction details, customer demographics, product information, and reasons for return. It is designed for supply chain optimization, quality improvement, and customer experience analysis, enabling granular insights into return patterns and drivers across products and customer segments.

product_namereturn_reasonrefund_amount
UltraHD Smart TV 55indefective449.99
Womens Summer Dress Lsize issue39.99
Modern Floor Lamp Blacknot as described125
time_to_return_daysreturn_methodcustomer_country+16 more
Human Resources26 cols · 200 rows

Employee Attrition Prediction Dataset

This dataset provides detailed HR records for employees, including demographics, job history, satisfaction, performance, and attrition status. It is ideal for building predictive models to identify turnover risks, analyze workforce trends, and inform retention strategies. Rich features enable advanced analytics for HR decision-making and organizational planning.

first_namelast_namemarital_status
RiyaPatelMarried
CarlosDominguezSingle
AishaOkaforWidowed
employee_idgenderdate_of_birth+20 more
Technology20 cols · 200 rows

IT Service Ticket Classification

This dataset contains detailed records of IT service tickets, combining structured metadata (such as priority, category, and assignment) with rich ticket descriptions suitable for natural language processing. It enables automated ticket triage, prioritization, and advanced analytics for IT support operations, making it ideal for machine learning and process optimization.

ticket_subjectcategorypriority
Laptop battery fails to chargehardwaremedium
Cannot print from office printerhardwarehigh
Server room temperature alerthardwarecritical
departmentstatusurgency+14 more
Manufacturing15 cols · 200 rows

Manufacturing Quality Control Dataset

This dataset provides detailed manufacturing quality control records, including batch production information, inspection results, defect types and severities, and quality scores. It enables manufacturers to monitor process performance, identify recurring issues, and drive continuous improvement in product quality and operational efficiency.

shiftquality_scoredefect_type
afternoon99.7–
morning87.4–
night81.1scratch
batch_iddefect_severityrework_required+9 more
Technology18 cols · 200 rows

B2B SaaS Usage Retention

This dataset provides comprehensive retention and engagement metrics for B2B SaaS customers, including subscription details, user activity, feature usage, and churn risk scores. It enables customer success teams to monitor long-term engagement, identify at-risk accounts, and optimize strategies for churn prevention and customer health. Ideal for SaaS analytics, customer lifecycle management, and predictive modeling.

customer_namesubscription_statusplan_type
Alpha Technologies Inc.activeEnterprise
Beta Financial GroupactivePro
Gamma Retail SolutionsactiveBasic
customer_idindustryaccount_manager+12 more
Finance17 cols · 200 rows

Bank Transaction Categorization Sample

This dataset contains labeled bank transaction records, including detailed transaction metadata, merchant information, and manually or automatically assigned expense categories. It is ideal for developing, training, and benchmarking automated expense categorization models for personal finance, budgeting, and regulatory compliance applications.

merchant_nameamountcategory
Whole Foods Market-95.32groceries
ACME Corp2500income
Netflix-56.8entertainment
posting_dateis_recurringmerchant_category_code+11 more
Healthcare20 cols · 200 rows

Pharmacy Inventory Sales Forecast

This dataset provides detailed historical sales and inventory records for top pharmacy products, including batch-level expiration and restock information, store locations, and transaction details. It enables precise inventory optimization, demand forecasting, and proactive management of product expirations across multiple pharmacy locations.

product_namecategorystore_name
Ibuprofen 200mganalgesicHealthFirst Pharmacy
Amoxicillin 500mgantibioticCare Max
Vitamin D3 1000IUsupplementPharmaTrust
sale_idproduct_idmanufacturer+14 more
Logistics25 cols · 200 rows

Logistics Shipment Delay Prediction

This logistics shipment delay prediction dataset provides granular details on shipments, including route information, carrier performance, weather conditions, and both predicted and actual delays. Designed for supply chain managers and analysts, it enables proactive scheduling, risk assessment, and service optimization by offering actionable insights into delay patterns and their causes.

carrier_nameroute_typevehicle_type
SwiftLine Logisticshighwaytruck
EuroFreight GmbHrailtrain
Pacific Transporthighwaytruck
shipment_idscheduled_departure_datetimeactual_departure_datetime+19 more
Healthcare22 cols · 200 rows

Hospital Readmission Prediction

This dataset provides detailed, labeled records of hospital admissions, including patient demographics, diagnoses, procedures, and outcomes related to readmission. It is designed to support predictive modeling for hospital readmissions, enabling health systems to identify risk factors, optimize care transitions, and reduce costs. The comprehensive schema facilitates advanced analytics and machine learning applications in healthcare quality improvement.

readmittedadmission_typeinsurance_type
falseelectiveprivate
trueemergencymedicare
falseemergencymedicare
patient_idadmission_idadmission_date+16 more
Social Media14 cols · 200 rows

Social Media Sentiment Dataset

This dataset contains synthetic social media posts and their associated comments, each labeled with sentiment (positive, negative, neutral) and optional sentiment scores. It is designed for training and benchmarking machine learning and NLP models in social analytics, enabling fine-grained sentiment analysis across multiple platforms and languages.

post_sentiment_labelcomment_sentiment_labelplatform
positivepositivetwitter
positivepositivefacebook
positivepositiveinstagram
post_iduser_idpost_datetime+8 more

Questions

Can I put these on GitHub or Tableau Public?
Yes. The data is synthetic and the licence allows commercial use, so you can publish the data and your analysis.
Should I say the data is synthetic?
Yes. Say it is synthetic data generated by GoMask. What reviewers look for is the question you asked, how you cleaned and analysed the data, and how clearly you present the answer.
Can I make a dataset for a project idea of my own?
Yes. Describe it in one sentence in GoMask Data Factory and preview 20 rows free.

What should your data show?

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