Agriculture16 cols · 121 rows
This dataset provides granular, time-stamped readings from distributed IoT soil sensors, capturing soil moisture, temperature, electrical conductivity, irrigation events, and environmental conditions across multiple farms and fields. It enables agritech startups, sustainability officers, and farm managers to optimize irrigation schedules, detect anomalies, and improve crop yield forecasts using advanced analytics and AI models.
| irrigation_event | crop_type | anomaly_detected |
|---|
| false | Wheat | false |
| true | Rice | false |
| false | Corn | true |
sensor_idfarm_idfield_id+10 more
Manufacturing17 cols · 150 rows
This dataset provides granular, real-time carbon emission measurements for individual production lines within manufacturing facilities, including energy usage, production output, and ESG compliance indicators. It enables operations managers and sustainability teams to pinpoint emission hotspots, optimize processes, and ensure regulatory compliance for environmental reporting and green initiatives.
| factory_name | production_line_name | emission_source_type |
|---|
| Omega Steelworks | Mill Assembly | direct |
| Polar Refrigeration | Compressor Line | combustion |
| Zenith Electronics | PCB Line | indirect |
emission_record_idfactory_idfactory_location_street+11 more
Telecommunications19 cols · 120 rows
This dataset provides granular, time-stamped environmental metrics from telecom tower sites, including sensor readings, maintenance indicators, and ESG compliance status. Designed for sustainability initiatives and operational reliability, it supports predictive maintenance, remote inspections, and regulatory reporting for telecom infrastructure.
| site_name | sensor_type | esg_compliance_status |
|---|
| Urban Alpha | temperature | compliant |
| Suburban Beta | humidity | compliant |
| Mountain Gamma | air_quality | compliant |
tower_idaddress_streetaddress_city+13 more
Social Media17 cols · 200 rows
This dataset contains real-time, geo-tagged social media posts annotated with sentiment scores and labels, along with influencer and event tagging. It enables granular location-based sentiment analysis, influencer reach measurement, and event-driven trend tracking for marketing, policy, and research applications.
| username | sentiment_label | state |
|---|
| nyc_traveler | positive | NY |
| parisian_life | positive | – |
| tech_guru | positive | CA |
post_iduser_idpost_datetime+11 more
Social Media23 cols · 200 rows
This dataset provides granular engagement metrics for top Twitter influencers, including detailed tweet-level statistics, sentiment scores, and network mapping data such as hashtags and mentions. It is optimized for AI/ML applications, predictive modeling, and targeted marketing analytics, making it ideal for brand strategy, influencer analysis, and social network research.
| influencer_name | tweet_language | is_retweet |
|---|
| Ava Thompson | en | false |
| Manuel Garcia | es | false |
| Emi Tanaka | ja | false |
influencer_idinfluencer_handlebio+17 more
Social Media16 cols · 36 rows
This dataset provides real-time, multilingual social media post analytics from Twitter, TikTok, and Facebook, focusing on Spanish, French, and Arabic content. It includes sentiment scores, engagement metrics, trend indicators, and geo-location data, enabling robust cross-platform sentiment modeling, emerging trend detection, and non-English market analysis for researchers and business analysts.
| platform | author_language | sentiment_label |
|---|
| Twitter | es | positive |
| Facebook | fr | negative |
| TikTok | ar | positive |
post_idpost_datetimeauthor_id+10 more
Social Media23 cols · 200 rows
This dataset provides detailed engagement metrics for TikTok influencer posts, including video performance, audience growth, and cross-platform mentions. It enables marketers, startups, and researchers to analyze influencer effectiveness, optimize campaigns, and uncover network trends across social media platforms.
| influencer_username | influencer_full_name | is_sponsored |
|---|
| dance.with.lia | Lia Morrison | false |
| kpop.star.jin | Jin Park | false |
| foodie.paradise | Camille Thorne | false |
influencer_idinfluencer_countrypost_id+17 more
Transportation13 cols · 202 rows
This dataset provides granular, hourly traffic flow measurements at urban intersections, including vehicle counts, flow rates, direction, and contextual factors like weather and incidents. Designed for mobility analytics, congestion prediction, and machine learning, it enables urban planners and data scientists to optimize real-time traffic management and model urban mobility patterns.
| intersection_name | direction | sensor_type |
|---|
| Houston Main @ 1st Ave | northbound | camera |
| San Francisco Market St | eastbound | camera |
| Manhattan 5th & 42nd | southbound | camera |
record_idintersection_idlatitude+7 more
Marketing23 cols · 200 rows
This dataset provides granular, hourly influencer engagement metrics across major social media platforms, including detailed audience demographics and campaign associations. Brands and agencies can leverage this data for AI-powered analysis of peak activity times, audience response profiles, and campaign effectiveness, enabling data-driven marketing strategies and influencer selection.
| influencer_name | campaign_name | content_type |
|---|
| Sophie Chen | Summer Glow | post |
| Liam Patel | – | video |
| Maya Rivera | Tech Trends | video |
engagement_idinfluencer_idplatform+17 more
Government20 cols · 200 rows
This dataset provides detailed, user-reported civic issues with rich metadata on location, urgency, resolution, and feedback, enabling AI-driven event detection and resource prioritization for urban improvement. It supports startups, researchers, and civic tech developers in building responsive policy and community analytics solutions.
| issue_type | location_country | status |
|---|
| pothole | USA | resolved |
| noise | USA | reported |
| streetlight | USA | in_progress |
signal_iduser_idissue_description+14 more
Transportation17 cols · 200 rows
This dataset provides detailed, hourly traffic volume metrics for urban intersections, including vehicle, pedestrian, bicycle, and public transit counts, enriched with weather and incident context. It is ideal for congestion analysis, infrastructure planning, and predictive modeling, empowering city planners, mobility startups, and researchers to optimize urban mobility and forecast traffic trends.
| intersection_name | weather_condition | congestion_level |
|---|
| 5th Ave & 42nd St | cloudy | high |
| King St W & Spadina Ave | rainy | medium |
| Alexanderplatz & Karl-Liebknecht-Str | clear | low |
intersection_idlatitudelongitude+11 more
Social Media28 cols · 200 rows
This dataset provides detailed engagement metrics for social media influencers across major platforms, including post types, timing, and comprehensive audience demographics. It enables startups, marketers, and researchers to benchmark influencer strategies, predict viral content, and identify authentic engagement patterns for advanced marketing analytics and AI/ML applications.
| platform | post_type | sponsored |
|---|
| Instagram | image | false |
| TikTok | video | false |
| YouTube | video | true |
influencer_idpost_idpost_caption+22 more
Manufacturing9 cols · 200 rows
This dataset provides detailed, shift-level defect counts for each product type and manufacturing line, enabling granular quality control analysis and predictive modeling. With fields for defect categories, production volumes, and calculated defect rates, it supports both operational monitoring and advanced AI-driven analytics to improve manufacturing processes.
| shift | defect_type | defect_rate |
|---|
| Morning | Surface | 0.01 |
| Afternoon | Mechanical | 0 |
| Night | Electrical | 0.12632 |
production_lineproduct_typetotal_units_produced+3 more
Real Estate22 cols · 200 rows
This dataset contains comprehensive records of buildings awarded green certifications, detailing certification type, level, dates, sustainability scores, and full address information. It enables ESG reporting, market benchmarking, and analysis of sustainability trends across the real estate sector, supporting transparency and informed decision-making.
| building_name | owner_name | certification_type |
|---|
| Hudson Green Tower | Green Properties LLC | LEED |
| London Eco Center | Eco Developments Ltd | BREEAM |
| Singapore Health Center | HealthFirst Pte Ltd | WELL |
certification_idbuilding_idaddress_street+16 more
Human Resources23 cols · 200 rows
This dataset provides detailed records of AI-powered candidate-to-job matching events, including demographic data, job attributes, match scores, and feedback. Designed for fairness audits and recruitment pipeline optimization, it enables analysis of AI model performance, bias detection, and process improvement in talent acquisition.
| candidate_gender | job_title | match_status |
|---|
| male | Retail Store Associate | rejected |
| female | Software Engineer I | pending |
| non-binary | Data Analyst | accepted |
match_idcandidate_idjob_id+17 more
Transportation28 cols · 200 rows
This dataset provides detailed trip-level records for shared bikes and scooters in urban environments, including device, user, geospatial, temporal, and IoT metrics. It is designed to enable sustainable transit planning, operational optimization, and in-depth analysis of micro mobility usage patterns, supporting both city planners and mobility providers.
| device_type | user_type | payment_method |
|---|
| bike | registered | credit_card |
| scooter | guest | mobile_wallet |
| bike | anonymous | cash |
trip_iddevice_idtrip_start_time+22 more
Real Estate22 cols · 200 rows
This dataset provides detailed records of office space utilization by department, including occupancy levels, space types, activity patterns, and associated costs across various office locations. Facility managers and workplace strategists can leverage this data to optimize layouts, improve space efficiency, and reduce operational costs through data-driven decisions.
| office_name | department_name | space_type |
|---|
| Manhattan HQ | Finance | workstation |
| Chicago Campus | HR | meeting_room |
| Austin Tech Hub | IT | lounge |
record_idoffice_idaddress_street+16 more
Energy11 cols · 200 rows
This dataset provides granular, hourly energy grid load forecasts and actual measurements for multiple regions, including indicators for peak periods, renewable energy share, and weather context. It is ideal for validating forecasting models, analyzing grid performance, and supporting sustainability initiatives in energy management.
| region_name | peak_indicator | weather_condition |
|---|
| Northeast Urban | true | clear |
| Southeast Urban | false | cloudy |
| Southwest Desert | true | clear |
forecast_idregion_iddatetime+5 more
Logistics20 cols · 200 rows
This dataset provides granular metrics for completed last-mile delivery routes, including cost breakdowns, timing, delivery outcomes, and operational context. It enables detailed analysis for cost optimization, delay prediction, and service performance improvement in logistics operations. The data is ideal for benchmarking, predictive modeling, and operational reporting.
| planned_distance_km | actual_distance_km | weather_conditions |
|---|
| 5.6 | 6 | clear |
| 18.5 | 19.2 | cloudy |
| 23 | 22.7 | rainy |
route_iddelivery_datedriver_id+14 more
Education16 cols · 200 rows
This dataset provides detailed logs of student attendance in remote learning sessions, including session times, attendance status, engagement scores, and student/class information. Designed for academic engagement research and truancy monitoring, it enables granular analysis of participation patterns and student behavior in virtual classrooms.
| class_name | student_first_name | student_last_name |
|---|
| Math 101 | Aisha | Khan |
| English Literature | James | Nguyen |
| Physics 101 | Priya | Singh |
attendance_idsession_idclass_id+10 more
Finance19 cols · 200 rows
This dataset provides annual ESG (Environmental, Social, Governance) evaluation scores for small businesses, including detailed breakdowns, certifications, and reporting standards. It enables benchmarking, sustainability reporting, and trend analysis, supporting informed decision-making for investors, regulators, and business owners.
| business_name | industry | certifications |
|---|
| Green Horizon Markets | Retail | B Corp,ISO 14001 |
| Sustenta Fabrics Ltd. | Manufacturing | ISO 14001 |
| EcoConsult Services Ltd | Services | – |
business_idcountrystate+13 more
Logistics12 cols · 200 rows
This dataset provides detailed time-series movement traces for autonomous warehouse robots, including spatial coordinates, velocity, battery status, and operational context. It enables comprehensive analysis of robot routes, efficiency, and incident detection, supporting warehouse optimization and predictive maintenance.
| x_position | is_obstacle_detected | error_code |
|---|
| 6.5 | false | – |
| 17.5 | false | – |
| 0 | false | – |
trace_idrobot_idtimestamp+6 more
Education20 cols · 200 rows
This dataset provides detailed logs of student and staff interactions with cloud-based educational platforms, including access times, device types, locations, and resource usage. It enables comprehensive analysis of digital adoption, user engagement, and resource planning for schools, supporting data-driven decisions in educational technology strategy.
| user_type | user_name | school_name |
|---|
| student | Emily Carter | Greenfield High School |
| student | Joshua Kim | Riverbend Secondary |
| student | Ava Rodriguez | Sunrise Middle School |
log_iduser_idschool_id+14 more
Manufacturing17 cols · 200 rows
This dataset contains detailed logs of downtime events for critical manufacturing equipment, including timestamps, causes, maintenance actions, and impact metrics such as cost and production loss. It enables reliability analysis, maintenance optimization, and cost reduction strategies for manufacturing operations. The dataset is structured for easy integration with analytics platforms and supports granular tracking of equipment performance.
| equipment_name | equipment_type | downtime_category |
|---|
| CNC Lathe A1 | CNC machine | planned |
| Conveyor Belt B2 | conveyor | unplanned |
| Hydraulic Press C3 | press | emergency |
downtime_idequipment_idlocation+11 more
Human Resources29 cols · 200 rows
This dataset provides comprehensive records of enterprise employee attrition events, detailing voluntary and involuntary exits with contextual information such as tenure, performance, exit reasons, and retention actions. It is ideal for modeling attrition trends, analyzing workforce turnover, and developing targeted retention strategies to improve organizational stability.
| first_name | last_name | job_title |
|---|
| Olivia | Chen | Software Developer |
| Lucas | Smith | Senior Accountant |
| Priya | Kumar | Intern |
event_idemployee_idgender+23 more
Technology15 cols · 200 rows
This dataset provides detailed records of employee interactions with remote collaboration tools, including timestamps, types of activities, productivity scores, and location data. It enables managers and analysts to monitor tool adoption, assess productivity impacts, and identify trends in remote work behaviors across teams and projects. The dataset is ideal for optimizing collaboration strategies and supporting data-driven workforce decisions.
| employee_name | tool_name | interaction_type |
|---|
| Jessica Turner | Slack | Message Sent |
| Samuel Lee | Zoom | Meeting Attended |
| Priya Patel | Teams | File Shared |
interaction_idemployee_iddepartment+9 more
Agriculture16 cols · 200 rows
This dataset provides detailed agricultural yield records by region, crop type, and growing season, including quantitative harvest data, land area, and contextual information such as irrigation and organic certification. It is designed for ESG reporting, risk assessment, and supply chain optimization, enabling granular analysis of crop production trends and sustainability metrics.
| region_name | country | crop_type |
|---|
| Iowa | USA | wheat |
| West Bengal | India | jute |
| Saskatchewan | Canada | wheat |
yield_idregion_idgrowing_season+10 more
Real Estate14 cols · 200 rows
This dataset provides monthly rental price statistics for apartments across urban neighborhoods, including average, median, minimum, and maximum rents by apartment type and location. It enables detailed market trend analysis, investment strategy development, and urban planning by offering granular insights into rental dynamics over time. The dataset is ideal for real estate professionals, investors, and researchers seeking to understand rental market fluctuations.
| neighborhood_name | apartment_type | data_source |
|---|
| Financial District | studio | listing_platform |
| Prenzlauer Berg | 1-bedroom | listing_platform |
| Downtown | 2-bedroom | listing_platform |
rental_idcitystate+8 more
Manufacturing15 cols · 200 rows
This dataset contains detailed time-stamped sensor readings from advanced manufacturing lines, including machine, line, and factory identifiers, sensor types and values, operational statuses, and anomaly flags. It enables granular analysis for predictive maintenance, process optimization, and real-time anomaly detection, supporting data-driven manufacturing operations.
| sensor_type | sensor_unit | status |
|---|
| temperature | Celsius | normal |
| vibration | mm/s | normal |
| humidity | %RH | error |
reading_idtimestampfactory_id+9 more
Human Resources21 cols · 200 rows
This dataset provides granular tracking of candidate progression through diversity-focused recruitment stages, including job requisition details, diversity attributes, and stage outcomes. It empowers HR leaders to analyze hiring equity, identify pipeline bottlenecks, and benchmark diversity recruiting performance across roles and departments.
| full_name | job_title | department |
|---|
| Miguel Alvarez | Data Analyst | Analytics |
| Priya Nair | Finance Intern | Finance |
| Jonathan Lee | Software Engineer | Engineering |
candidate_idemailphone_number+15 more
Agriculture15 cols · 200 rows
This dataset contains detailed, timestamped sensor readings from agricultural fields, including soil moisture, air temperature, and pest detection data. Each record is geotagged and linked to specific fields and sensors, enabling advanced analysis for precision farming, crop management, and yield optimization. The dataset supports operational monitoring, predictive analytics, and research into sustainable agriculture practices.
| field_name | sensor_type | pest_type |
|---|
| North East Cornfield | moisture | – |
| North West Wheat Zone | temperature | – |
| South East Soybean | pest | aphids |
reading_idfield_idlocation_latitude+9 more
Human Resources21 cols · 200 rows
This dataset provides granular productivity metrics for remote workforce teams, including individual performance, attendance, collaboration, and location details across defined review periods. It enables HR professionals and operational managers to assess remote work effectiveness, identify trends, and optimize team performance for distributed organizations.
| employee_name | team_name | department |
|---|
| Olivia Hernandez | Backend Wizards | Engineering |
| Ethan Wu | Backend Wizards | Engineering |
| Sofia Ivanova | Backend Wizards | Engineering |
employee_idemailteam_id+15 more
Other18 cols · 200 rows
This dataset provides detailed transaction-level sales data from small local retailers, including product, payment, and retailer information. It enables comprehensive analysis of sales trends, business performance, and consumer behavior, supporting decision-making for retail operations and market research.
| retailer_name | product_name | product_category |
|---|
| SuperMart Downtown | Organic Milk Gallon | Grocery |
| ElectroHub | Bluetooth Headphones | Electronics |
| Fashionista | Summer Dress | Apparel |
transaction_idtransaction_dateretailer_id+12 more
Energy14 cols · 200 rows
This dataset provides detailed, time-stamped home energy usage records from smart meters, including consumption amounts, interval lengths, tariff codes, and optional contextual data such as temperature and occupancy status. It enables granular analysis of household energy patterns, supports efficiency improvements, and facilitates modeling of consumption in relation to location, climate, and pricing structures.
| energy_consumed_kwh | peak_usage | occupancy_status |
|---|
| 1.21 | false | occupied |
| 4.95 | true | occupied |
| 5.24 | true | occupied |
meter_idhome_idreading_datetime+8 more
Other20 cols · 200 rows
This dataset provides detailed, time-stamped records of local food delivery orders, including customer demographics, restaurant information, ordered items, payment methods, and delivery outcomes. It enables granular analysis of demand patterns, peak ordering times, and customer preferences, supporting operational optimization and targeted marketing strategies.
| customer_gender | restaurant_name | delivery_status |
|---|
| female | Sushi Zen | delivered |
| male | Burger House | delivered |
| prefer_not_to_say | Cafe Paris | pending |
order_idorder_datetimecustomer_id+14 more
Finance28 cols · 200 rows
This dataset provides detailed records of microbusiness loan applications, approvals, and repayments, including business demographics, financial metrics, and loan terms. It is ideal for analyzing financial inclusion, SME funding strategies, and the impact of lending on microbusiness growth and sustainability.
| business_name | business_owner_name | business_type |
|---|
| Metro Retail Hub | Priya Sharma | retail |
| Green Agro Solutions | Tariq Mehmood | agriculture |
| Urban Techies LLP | Shreya Das | services |
loan_application_idbusiness_idbusiness_owner_national_id+22 more
Energy12 cols · 200 rows
This dataset provides granular, hourly renewable energy output from distributed generation points, including location, technology type, capacity, and operational status. It is ideal for sustainability modeling, grid reliability assessment, and geographic analysis of renewable energy resources, supporting data-driven decision-making for energy planners and researchers.
| energy_type | output_mwh | operational_status |
|---|
| solar | 15.6 | active |
| wind | 190.2 | active |
| hydro | 240.6 | active |
generation_point_idtimestamplocation_latitude+6 more
Logistics20 cols · 207 rows
This dataset provides weekly comparative pricing for goods across local markets, including detailed market and product attributes, price statistics, and contextual information. It enables supply chain professionals, retailers, and analysts to track price trends, benchmark across locations, and optimize pricing strategies for maximum profitability and competitiveness.
| market_name | product_name | product_category |
|---|
| San Francisco Farmers Market | Organic Apples | Produce |
| Toronto St. Lawrence Market | Whole Milk | Dairy |
| Sydney Fish Market | King Prawns | Seafood |
market_idmarket_street_addressmarket_city+14 more
Education20 cols · 200 rows
This dataset provides a detailed record of support tickets submitted for education technology platforms, including user roles, ticket categories, resolution details, and satisfaction ratings. It enables comprehensive analysis of technical support trends, user experience challenges, and platform optimization opportunities for educational institutions.
| platform_name | ticket_subject | ticket_category |
|---|
| LearnPortal | Unable to access assignment | content |
| Edusuite | Connectivity issue during live class | connectivity |
| MathXpress | Admin dashboard error | account |
ticket_iduser_iduser_role+14 more
Human Resources22 cols · 200 rows
This dataset merges traditional HR employee records with social media profile data to create a rich, cross-domain view of workforce skills and professional influence. It enables organizations to analyze talent distribution, identify skill gaps, and leverage external professional signals for strategic workforce planning and recruitment.
| first_name | last_name | job_title |
|---|
| Olivia | Chen | Software Engineer |
| Miguel | Santos | Account Executive |
| Priya | Sharma | Product Manager |
employee_idemaildepartment+16 more
Manufacturing17 cols · 201 rows
This dataset provides detailed event logs of anomaly alerts generated by distributed IoT sensors, including sensor readings, anomaly types, severity levels, location data, and resolution status. It is ideal for predictive maintenance, security event detection, and operational analytics in environments with large-scale sensor deployments.
| sensor_type | location_name | anomaly_type |
|---|
| temperature | Zone A - Main Plant | threshold_breach |
| pressure | Warehouse Deck 3 | device_failure |
| vibration | Line 2 - Assembly Area | unexpected_pattern |
alert_idsensor_idlocation_latitude+11 more
Social Media13 cols · 200 rows
This dataset provides granular, time-stamped sentiment analysis of brand mentions across major social media platforms, enabling real-time reputation monitoring and early crisis detection. It includes sentiment scores, engagement metrics, and crisis flags, making it ideal for brand managers, analysts, and marketing teams seeking actionable insights into public perception and social media trends.
| brand_name | platform | sentiment_label |
|---|
| Acme Corp | Twitter | positive |
| Umbrella Inc. | Instagram | negative |
| Monarch | Facebook | positive |
sentiment_idbrand_idmention_datetime+7 more
Transportation15 cols · 200 rows
This dataset provides detailed daily logs of energy and fuel consumption for diverse vehicle fleets, including distance traveled, CO2 emissions, and operational regions. It supports sustainability benchmarking, operational efficiency analysis, and fleet management optimization for organizations seeking to monitor and improve their transportation energy footprint.
| fleet_name | vehicle_type | fuel_type |
|---|
| Alpha Logistics | truck | diesel |
| Beta Transport | car | electric |
| Cargomax | van | diesel |
log_idfleet_idvehicle_id+9 more
Technology14 cols · 200 rows
This dataset provides granular insights into how organizations across various industries adopt and utilize remote work tools, including adoption rates, usage frequency, and primary tool designation. It enables benchmarking, productivity analysis, and digital transformation tracking, making it ideal for technology vendors, consultants, and enterprise strategists.
| organization_name | tool_name | tool_category |
|---|
| Acme Technologies | Zoom | video-conferencing |
| Acme Technologies | Slack | communication |
| Green Valley Health | Microsoft Teams | collaboration |
organization_idindustrycountry+8 more
Manufacturing28 cols · 200 rows
This dataset provides detailed, chronological records of supply orders placed by small manufacturing businesses, including manufacturer and supplier information, item details, order status, and financials. It supports comprehensive analysis of procurement trends, inventory management, and supplier performance, making it ideal for operational optimization and strategic planning.
| manufacturer_name | supplier_name | item_name |
|---|
| Westlake Metalworks LLC | Great Lakes Steel Supply | Galvanized Steel Sheet 2mm |
| Bavaria Components GmbH | EuroTech Supply AG | Precision Servo Motor A1 |
| Chennai Plastics Pvt Ltd | Sundaram Packaging Co | Polypropylene Bags 50kg |
order_idmanufacturer_idmanufacturer_street_address+22 more
Education17 cols · 200 rows
This dataset provides detailed records of user interactions with features on an education technology platform, including user roles, device and location information, session context, and outcome details. It enables deep analysis of feature adoption, user engagement, and platform performance, supporting data-driven product development and personalized learning experiences.
| feature_name | interaction_type | device_type |
|---|
| Quiz Submission | submit | desktop |
| Video Player | view | mobile |
| Assignment Review | view | desktop |
interaction_iduser_iduser_role+11 more
Marketing17 cols · 200 rows
This dataset captures comprehensive survey responses on consumer intention and motivation to purchase sustainable products, including demographic, attitudinal, and behavioral factors. It enables brands and researchers to perform market segmentation, identify barriers, and optimize product positioning for green products.
| gender | education_level | income_level |
|---|
| male | high school | low |
| female | high school | prefer not to say |
| female | master's degree | medium |
respondent_idsurvey_dateage+11 more
Human Resources17 cols · 200 rows
This dataset provides a detailed view of employee promotion eligibility signals, including performance scores, tenure, training completion, and succession planning status. Designed for HR analytics, it enables organizations to identify high-potential employees, optimize promotion decisions, and support strategic workforce planning.
| first_name | last_name | job_title |
|---|
| Emily | Watson | Senior Financial Analyst |
| Carlos | Nguyen | Lead Software Engineer |
| Monica | Lee | HR Business Partner |
employee_iddepartmentmanager_id+11 more
Energy17 cols · 200 rows
This dataset provides detailed records of water, paper, and energy consumption for offices implementing green practices, including location, reporting period, and sustainability manager information. It enables sustainability managers to monitor resource usage, compare performance across offices, and identify opportunities for further efficiency improvements. The data supports benchmarking, compliance reporting, and strategic planning for environmental initiatives.
| office_name | address_country | water_consumption_liters |
|---|
| Metroplex Campus | USA | 1950000 |
| Downtown Collaborative Hub | USA | 54000 |
| Techie Cube | USA | 81000 |
record_idoffice_idaddress_street+11 more
Technology17 cols · 200 rows
This dataset provides detailed analytics on remote meeting durations, frequencies, and participation across distributed teams, including scheduling, recurrence, and platform usage. It enables organizations to optimize calendars, analyze workflows, and improve productivity by understanding meeting patterns and engagement. Ideal for productivity analysis, resource planning, and workflow optimization in remote work environments.
| organizer_name | meeting_title | meeting_type |
|---|
| Angela Rivers | Daily Standup: Sprint 14 Progress | standup |
| Samuel Lee | Weekly Planning: Backend Features | planning |
| Maria Santos | Monthly All-Hands: Q2 Kickoff | all-hands |
meeting_idorganizer_idstart_datetime+11 more
Human Resources15 cols · 200 rows
This dataset provides a comprehensive record of employee training completion rates, including module details, deadlines, completion status, and performance scores. It enables HR teams to monitor compliance, identify overdue trainings, and analyze skill development across departments for targeted interventions and reporting.
| employee_name | job_title | training_module_name |
|---|
| Sophia Nguyen | Lead Software Engineer | Data Privacy Compliance |
| Liam Patel | Financial Analyst | Workplace Safety Basics |
| Aiden Lee | IT Support Specialist | Advanced Network Security |
employee_iddepartmentmanager_id+9 more
Energy13 cols · 200 rows
This dataset provides high-frequency energy consumption readings from smart meters, including timestamps, location, customer identifiers, and sustainability metrics. It enables detailed analysis of peak usage patterns, geographic consumption trends, and renewable energy adoption, supporting utility optimization and research into energy efficiency.
| meter_location_country | tariff_code | peak_usage_flag |
|---|
| USA | TOU_DAY | false |
| USA | TOU_EVENING | true |
| USA | BUS_PEAK | true |
meter_idcustomer_idtimestamp+7 more
Technology15 cols · 200 rows
This dataset provides granular tracking of remote team collaboration events, including communication frequency, participant engagement, and productivity bottlenecks. Managers can leverage these insights to optimize workflows, identify engagement trends, and proactively address collaboration issues. The dataset is ideal for productivity analytics, team performance monitoring, and operational improvement in distributed work environments.
| team_name | event_type | bottleneck_flag |
|---|
| Pacific Devs | meeting | false |
| Eastern QA | code_review | false |
| UK Legal | standup | true |
event_idteam_idevent_datetime+9 more
Manufacturing18 cols · 200 rows
This dataset provides detailed, quantifiable measures of product lines' transition to sustainable packaging, including lifecycle stages, compliance certifications, material types, and adoption scores. It enables robust ESG reporting, benchmarking, and consumer trend analysis for brands and industry sectors, supporting sustainability initiatives and strategic decision-making.
| product_line_name | brand_name | packaging_material_type |
|---|
| EcoSmart Beverage Bottles | HydroPlus | Recycled PET |
| PureFresh Juice Cartons | PureClean | Aseptic carton |
| Radiant Glow Serum Pack | RadiantCo | Glass |
product_line_idindustry_sectorregion+12 more
Human Resources20 cols · 200 rows
This dataset provides detailed, structured exit interview records, including employee demographics, reasons for departure, satisfaction ratings, and open-ended feedback. It enables HR teams to analyze turnover trends, identify retention risks, and inform company culture improvements, making it highly valuable for predictive modeling and strategic workforce planning.
| employee_name | position_title | interviewer_name |
|---|
| Melissa Carson | Senior Accountant | Ava Williams |
| Samuel Ortiz | Software Engineer | James Allen |
| Christina Lane | Recruitment Specialist | Ava Williams |
exit_interview_idemployee_iddepartment+14 more
Human Resources18 cols · 200 rows
This dataset provides comprehensive, employee-level workplace diversity metrics, including gender, ethnicity, disability status, and employment details across departments and locations. It enables HR teams and researchers to benchmark diversity, monitor compliance, and drive data-driven DEI initiatives. The flat structure supports easy integration and analysis for reporting and strategic planning.
| first_name | last_name | disability_status |
|---|
| Jessica | Nguyen | no |
| Samuel | Brown | no |
| Ava | Singh | no |
employee_iddate_of_birthgender+12 more
Human Resources15 cols · 200 rows
This dataset aggregates frequent employee sentiment pulse survey responses, capturing engagement, morale, and stress levels alongside qualitative feedback and organizational context. Designed for HR analysts, it enables tracking of workplace wellbeing trends, identification of at-risk teams, and actionable insights for improving employee experience.
| department | engagement_score | is_anonymous |
|---|
| Engineering | 9.7 | false |
| Engineering | 8.9 | false |
| Sales | 6.1 | false |
pulse_idemployee_idteam_id+9 more
Human Resources23 cols · 200 rows
This dataset provides granular time log entries for employees working in hybrid environments, detailing work hours, tasks, locations, and project associations. It enables managers to analyze productivity trends, optimize resource allocation, and balance remote versus office workflows for improved operational efficiency.
| employee_name | task_name | task_category |
|---|
| Priya Natarajan | Backend API integration | coding |
| Emily Zhang | Client ticket resolution | support |
| Lucas Oliveira | Branding workshop presentation | design |
log_idemployee_iddepartment+17 more
Human Resources15 cols · 200 rows
This dataset provides detailed employee feedback on remote onboarding experiences, including satisfaction ratings, training efficacy, integration speed, and qualitative insights into friction points and improvement suggestions. It enables HR teams to analyze onboarding effectiveness across departments, roles, and platforms, supporting data-driven optimization of hybrid workforce strategies.
| employee_department | hr_contacted | onboarding_platform |
|---|
| Engineering | true | Zoom |
| Sales | false | Teams |
| Marketing | false | Custom Portal |
feedback_idemployee_idemployee_role+9 more
Human Resources18 cols · 200 rows
This dataset logs detailed remote onboarding milestones for SME employees, capturing key events, statuses, timestamps, and contextual information such as department, manager, and location. It enables process optimization, experience analytics, and compliance tracking for HR teams managing distributed workforces. The flat structure supports integration with HRIS systems and advanced reporting.
| employee_first_name | employee_last_name | job_title |
|---|
| Michael | Chang | Software Engineer |
| Michael | Chang | Software Engineer |
| Michael | Chang | Software Engineer |
event_idemployee_idemployee_email+12 more