This is a dataset that pertains to human resources and employee data, with the following columns:

Attrition: A binary column indicating whether the employee has left the company or not. Business Travel: A categorical column indicating the frequency of business travel by the employee. CF_age band: A categorical column indicating the age range of the employee. CF_attrition label: A categorical column indicating the reason for the employee's attrition. Department: A categorical column indicating the department the employee belongs to. Education Field: A categorical column indicating the field of education of the employee. emp no: An integer column indicating the employee number. Employee Number: An integer column indicating the employee number. Gender: A categorical column indicating the gender of the employee. Job Role: A categorical column indicating the role or position of the employee. Marital Status: A categorical column indicating the marital status of the employee. Over Time: A binary column indicating whether the employee works overtime or not. Over18: A binary column indicating whether the employee is over 18 years old or not. Training Times Last Year: An integer column indicating the number of training sessions attended by the employee in the last year. Age: An integer column indicating the age of the employee. CF_current Employee: A binary column indicating whether the employee is currently employed or not. Daily Rate: An integer column indicating the daily rate of pay for the employee. Distance From Home: An integer column indicating the distance between the employee's home and workplace. Education: A categorical column indicating the level of education of the employee. Employee Count: An integer column indicating the number of employees in the company. Environment Satisfaction: An integer column indicating the satisfaction level of the employee with the work environment. Hourly Rate: An integer column indicating the hourly rate of pay for the employee. Job Involvement: An integer column indicating the level of involvement of the employee in their job. Job Level: An integer column indicating the level of the employee's job. Job Satisfaction: An integer column indicating the satisfaction level of the employee with their job. Monthly Income: An integer column indicating the monthly income of the employee. Monthly Rate: An integer column indicating the monthly rate of pay for the employee. Num Companies Worked: An integer column indicating the number of companies the employee has worked for in the past. Percent Salary Hike: An integer column indicating the percentage increase in salary for the employee. Performance Rating: An integer column indicating the performance rating of the employee. Relationship Satisfaction: An integer column indicating the satisfaction level of the employee with their work relationships. Standard Hours: An integer column indicating the standard number of hours worked by the employee. Stock Option Level: An integer column indicating the level of stock options held by the employee. Total Working Years: An integer column indicating the total number of years the employee has worked. Work Life Balance: An integer column indicating the work-life balance of the employee. Years At Company: An integer column indicating the number of years the employee has worked in the company. Years In Current Role: An integer column indicating the number of years the employee has been in their current role. Years Since Last Promotion: An integer column indicating the number of years since the employee's last promotion. Years With Curr Manager: An integer column indicating the number of years the employee has worked with their current manager.

Share-of-Periods-With-Dividend-Payments-In-Percent Time Series for ANA Holdings Inc. ANA Holdings Inc., together with its subsidiaries, provides air transportation services in Japan and internationally. It operates through Aviation Business, Aviation related business, Travel business, and Trading company business segments. The Air Transportation segment offers domestic and international passenger, cargo and mail, and other transportation services. The Aviation related business segment provides air transportation related services, such as airport handling, and maintenance services. Its Travel business segment provides travellers with transportation, accommodation and other related services for the travel products, and manages the itinerary for the travel products. The Trading company business segment import and export of aviation-related materials, stores, mail order sales, etc. The company was formerly known as All Nippon Airways Co., Ltd. and changed its name to ANA Holdings Inc. in April 2013. ANA Holdings Inc. was incorporated in 1920 and is headquartered in Minato, Japan.

Employee Attrition and Factors

Examining Performance, Financials, and Job Role for Impact on Retention

By [source]

About this dataset

This dataset offers a comprehensive and varied analysis of an organization's employees, focusing on areas such as employee attrition, personal and job-related factors, and financials. Included are numerous parameters such as Age, Gender, Marital Status, Business Travel Frequency, Daily Rate of Pay, Departmental Information such as Distance From Home Office or Education Level Obtained by the employee in question. Also included is a variant series of parameters related to the job being performed such as Job Involvement (level), Job Level (relative to similar roles within the same organization), Job Role specifically meant for that individual(function/task), total working hours in a week/month/year be it overtime or standard hours for a given role. Furthermore detailed aspects include Percent Salary Hike during their tenure with the company from promotion or otherwise , Performance Rating based on specific criteria established by leadership , Relationship Satisfaction among peers at workplace but also taking into account outside family members that can influence stress levels in varying capacities ,Monthly Income considered at its starting point once hired then compared against their monthly payrate with overtime hours included if applicable along with Number Companies Worked before if any. Lastly the Retirement Status commonly known as Attrition is highlighted; covering whether there was an intent to stay with one employer through retirement age or if attrition took place for reasons beyond ones control earlier than expected . Through this dataset you can get an insight into various major aspect regarding today's workforce management philosphies which have changed drastically over time due to advancements in technology

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How to use the dataset

• Understand the variables that make up this dataset. The dataset includes several personal and job-related variables such as Age, Gender, Marital Status, Business Travel, Daily Rate, Department, Distance From Home, Education, Education Field, Employee Count, Employee Number, Environment Satisfaction Hoursly Rate and so on. Knowing what each variable is individuallly will help when exploring employee attrition as a whole.
• Analyze the data for patterns as well as outliers or anomalies either at an individual level or across all of the data points together. Identifying these patterns or discrepancies can offer insight into factors that are related to employee attrition.
• Visualize the data using charts and graphs to allow for easy understanding of which relationships might be causing higher levels of employees leaving the organization over time dimensions like age or job role can be key factors in employee attrition rates visually displaying how they relate to one another can provide clarity into what needs to change within an organization in order to reduce attrition rates
• Explore relationships between pairs of variables through correlation analysis correlations are measures of how strongly two variables are related when looking at employment retention it’s important to analyze correlations at both an individual level and for all variables together showing which pairings have more influence than others when it comes to influencing employee decisions
  5 Use descriptive analytics methods such as scatter plots histograms boxplots etc with aggregated values from each field like average age average monthly income etc These analytics help gain a deeper understanding about where changes need to be made internally
  6 Utilize predictive analytics with more advanced techniques such as regressions clustering decision trees in order identify trendsfrom past data points then build models on those insights from different perspectives helping further prepare organizations against potential high levelsinvolving employees departing ?

Research Ideas

• Identifying performance profiles of employees at risk for attrition through predictive analytics and using this insight to create personalized development plans or retention strategies.
• Using the data to assess the impact of different financial incentives or variations in job role/structure on employee attitudes, satisfaction and ultimately attrition rates.
• Analyzing different age groups' responses to various perks or turnover patterns in order to understand how organizations can better engage different demographic segments

Acknowledgements

If you use this dataset in your research, pl...

Share-of-Periods-With-Dividend-Payments-In-Percent Time Series for Coforge Ltd. Coforge Limited provides information technology (IT) and IT enabled services in India, the Americas, Europe, the Middle East and Africa, India, and the Asia Pacific. The company offers digital process automation services, including workflow/process management, artificial intelligence (AI) and predictive analytics, RPA, and case management; digital services, such as interactive services, product engineering, enterprise, and intelligent automation; and cloud and infrastructure management services comprising cloud, workplace, cybersecurity, data center, and always on network, as well as service integration services. It also offers cybersecurity services, which include security incident management; vulnerability management; threat intelligence; identity and access management; phishing, analysis, and training; governance & risk management; and workplace security. In addition, the company provides AI and machine learning, business analytics and BI, data engineering and management, D&A Ops, and advisory services. Further, it offers engineering services consisting of product quality, advisory consulting, automation engineering, business assurance testing, enterprise and product testing, AI, and ML infused testing services. Additionally, the company provides business process solutions. Coforge Limited serves insurance, travel, tourism, hospitality, banking and financial services, retail, healthcare, and public sectors. It has strategic alliances with Kong Inc. for cloud API services; and Newgen Software Technologies Limited to enhance digital operations for organizations. The company was formerly known as NIIT Technologies Limited and changed its name to Coforge Limited in August 2020. Coforge Limited was incorporated in 1992 and is based in Greater Noida, India.

Time series data for the statistic Exports_of_Goods_and_Services_%_of_GDP and country Bermuda. Indicator Definition:Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments.The statistic "Exports of Goods and Services % of GDP" stands at 56.31 percent as of 12/31/2024, the highest value at least since 12/31/2011, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 6.08 percentage points compared to the value the year prior.The 1 year change in percentage points is 6.08.The 3 year change in percentage points is 8.41.The 5 year change in percentage points is 4.57.The 10 year change in percentage points is 5.15.The Serie's long term average value is 50.64 percent. It's latest available value, on 12/31/2024, is 5.67 percentage points higher, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/2020, to it's latest available value, on 12/31/2024, is +9.18.The Serie's change in percentage points from it's maximum value, on 12/31/2024, to it's latest available value, on 12/31/2024, is 0.0.

Time series data for the statistic Exports_of_Goods_and_Services_%_of_GDP and country Italy. Indicator Definition:Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments.The statistic "Exports of Goods and Services % of GDP" stands at 32.73 percent as of 12/31/2024. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -0.8019 percentage points compared to the value the year prior.The 1 year change in percentage points is -0.8019.The 3 year change in percentage points is 1.56.The 5 year change in percentage points is 1.78.The 10 year change in percentage points is 4.11.The Serie's long term average value is 23.53 percent. It's latest available value, on 12/31/2024, is 9.20 percentage points higher, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/1970, to it's latest available value, on 12/31/2024, is +17.60.The Serie's change in percentage points from it's maximum value, on 12/31/2022, to it's latest available value, on 12/31/2024, is -2.37.

Time series data for the statistic Exports_of_Goods_and_Services_%_of_GDP and country Angola. Indicator Definition:Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments.The statistic "Exports of Goods and Services % of GDP" stands at 37.88 percent as of 12/31/2024, the lowest value since 12/31/2018. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -2.95 percentage points compared to the value the year prior.The 1 year change in percentage points is -2.95.The 3 year change in percentage points is -9.86.The 5 year change in percentage points is -2.91.The 10 year change in percentage points is -6.81.The Serie's long term average value is 49.96 percent. It's latest available value, on 12/31/2024, is 12.08 percentage points lower, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/2016, to it's latest available value, on 12/31/2024, is +9.76.The Serie's change in percentage points from it's maximum value, on 12/31/2008, to it's latest available value, on 12/31/2024, is -34.59.

Content

The equal access accommodations Indicator is measured by comparing the percent of public contact position (PCP) employees who speak Spanish to the percent of Spanish speakers who have limited English proficiency (LEP) citywide. The Equal Access to Services Ordinance includes a requirement for City departments to offer bilingual services based on citywide demographics. In FY2016-2017, the two languages required by the ordinance were Spanish and Chinese. We chose to measure Spanish-speaking PCP employees for this Indicator because Spanish speakers comprise a larger proportion of the population.

Context

This is a dataset hosted by the city of Oakland in California. The organization has an open data platform found here and they update their information according to the amount of data that is brought in. Explore Oakland's Data using Kaggle and all of the data sources available through the city of Oakland organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.

Cover photo by Luís Eusébio on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

This dataset is distributed under NA

Time series data for the statistic Imports_of_Goods_and_Services_%_of_GDP and country Cyprus. Indicator Definition:Imports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments.The statistic "Imports of Goods and Services % of GDP" stands at 93.11 percent as of 12/31/2024. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -3.00 percentage points compared to the value the year prior.The 1 year change in percentage points is -3.00.The 3 year change in percentage points is 7.04.The 5 year change in percentage points is 18.36.The 10 year change in percentage points is 28.21.The Serie's long term average value is 64.46 percent. It's latest available value, on 12/31/2024, is 28.64 percentage points higher, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/1993, to it's latest available value, on 12/31/2024, is +45.18.The Serie's change in percentage points from it's maximum value, on 12/31/2022, to it's latest available value, on 12/31/2024, is -8.90.

Time series data for the statistic Imports_of_Goods_and_Services_%_of_GDP and country Ghana. Indicator Definition:Imports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments.The statistic "Imports of Goods and Services % of GDP" stands at 34.10 percent as of 12/31/2024. Regarding the One-Year-Change of the series, the current value constitutes an increase of 1.48 percentage points compared to the value the year prior.The 1 year change in percentage points is 1.48.The 3 year change in percentage points is 1.45.The 5 year change in percentage points is -5.27.The 10 year change in percentage points is -1.50.The Serie's long term average value is 31.58 percent. It's latest available value, on 12/31/2024, is 2.52 percentage points higher, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/1982, to it's latest available value, on 12/31/2024, is +31.12.The Serie's change in percentage points from it's maximum value, on 12/31/2000, to it's latest available value, on 12/31/2024, is -33.15.

Time series data for the statistic Exports_of_Goods_and_Services_%_of_GDP and country Mauritius. Indicator Definition:Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments.The statistic "Exports of Goods and Services % of GDP" stands at 46.21 percent as of 12/31/2024. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -1.33 percentage points compared to the value the year prior.The 1 year change in percentage points is -1.33.The 3 year change in percentage points is 7.75.The 5 year change in percentage points is 2.19.The 10 year change in percentage points is -6.32.The Serie's long term average value is 53.29 percent. It's latest available value, on 12/31/2024, is 7.08 percentage points lower, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/2020, to it's latest available value, on 12/31/2024, is +9.45.The Serie's change in percentage points from it's maximum value, on 12/31/2001, to it's latest available value, on 12/31/2024, is -20.88.