京公网安备11010802038645号京ICP备20022436号-3京EDI证京B2-20220639区块链京网信备 1101082276223860002X号以下为卖家选择提供的数据验证报告：
数据描述
Salaries in San Francisco
Salaries, Overtime, Benefits and Total Compensation
By Data Society [source]
About this dataset
> This dataset contains comprehensive information about employee compensation in San Francisco for the year 2020. It covers salaries, overtime, benefits and overall compensation for employees across various Organization Groups, Departments, Unions, Job Families and Jobs. This data helps to gain insights into employee compensation figures to understand the amount of payroll expenditure by the City of San Francisco. With an in-depth analysis of these figures using this dataset you can get a better understanding of where most money is allocated and its impact on salary & benefit packages available to city employees. Get insight into how each department's total compensations vary and understand where cost savings or extra contributions can be made if needed. Utilize this data to also gain insight into average salaries per job family or job title so you can assess potential risks and opportunities with existing personnel cost structures. All these figures are valuable pieces of information that one may consider when making decisions related to hiring new employees or setting up salary structures for those already employed within a department of the city government's staff
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How to use the dataset
> This dataset contains information about employee compensation in San Francisco in 2020, including salaries, overtime, benefits, and total compensation. This data can be used to analyze a variety of important metrics related to employee pay such as job family code, union code and organization group code. It can also be used to understand the distribution of salaries for different positions within the city. > > - First you should familiarize yourself with the dataset by checking out all of the columns available and getting an overview of what they represent. > - After understanding what is contained within each column it is time to begin analysis. One common analysis is investigating salary differences between various job families or organizations groups which can be done by using boxplots or scatterplots on the relevant columns (Salary & Job Family Code or Salaries & Organization Group Code). > - Other analyses are possible such as comparing overtime pay between departments or investigating retirement payments over time - creating a line plot showing Total Retirement Across Years would allow you to quickly see any trends that may exist and make further investigations accordingly if needed. > - Finally if there are comparisons being made it is important to bear in mind that correlations do not imply causation - so anytime results come back that appear surprising it will be necessary to drill down further into why these trends may exist before making any conclusions from them!
Research Ideas
> - Analyzing salaries to identify salary disparities and develop strategies for closing the gender pay gap. > - Comparing and analyzing health/dental, retirement, and other benefits between different unions, organizations, job families, and job codes to determine where improvements could be made. > - Tracking total salary, overtime payouts and total compensation across departments over time to identify cost savings opportunities or ways to put excess funds towards public services or initiatives that benefit the community
Acknowledgements
> If you use this dataset in your research, please credit the original authors. > Data Source >
License
> > License: Dataset copyright by authors > - You are free to: > - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. > - Adapt - remix, transform, and build upon the material for any purpose, even commercially. > - You must: > - Give appropriate credit - Provide a link to the license, and indicate if changes were made. > - ShareAlike - You must distribute your contributions under the same license as the original. > - Keep intact - all notices that refer to this license, including copyright notices.
Columns
File: Employee_Compensation_SF.csv
| Column name | Description |
|---|---|
| Year Type | The type of year the data is from. (String) |
| Organization Group Code | The code for the organization group. (String) |
| Department Code | The code for the department. (String) |
| Union Code | The code for the union. (String) |
| Job Family Code | The code for the job family. (String) |
| Job Code | The code for the job. (String) |
| Salaries | The amount of salaries paid out. (Float) |
| Overtime | The amount of overtime paid out. (Float) |
| Other Salaries | The amount of other salaries paid out. (Float) |
| Total Salary | The total amount of salaries paid out. (Float) |
| Retirement | The amount of retirement contributions paid out. (Float) |
| Health/Dental | The amount of health/dental benefits paid out. (Float) |
| Other Benefits | The amount of other benefits paid out. (Float) |
| Total Benefits | The total amount of benefits paid out. (Float) |
| Total Compensation | The total amount of compensation paid out. (Float) |
Acknowledgements
> If you use this dataset in your research, please credit the original authors. > If you use this dataset in your research, please credit Data Society.
Salaries in San Francisco
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