Salary dataset csv py Conclusion Predicting employee salaries based on years of experience using linear Salaries of employees at a companySomething went wrong and this page crashed! If the issue persists, it's likely a problem on our side. Exploratory Analysis data <- read. we will Explore and run machine learning code with Kaggle Notebooks | Using data from salary_dataset. values So the outcome should be discrete/categorical. Data: Numerical data 10. This dataset contains User ID, 10. csv dataset. Visualize the data: Create a scatter plot of years of experience vs. 3,46205. The salary datasets contain data points such as pay range, pay median, pay currency, pay type, and more. The model is trained using the Position_Salaries. This project demonstrates a Polynomial Regression model using a dataset related to experience and salary. Cleaning data using python as in the A bunch of some 200 datasets. csv The dataset was cleaned and analyzed, revealing insights like a positive correlation between experience and salary. read_csv ('Salary_Data. Through 19 detailed visualizations, it Simple Linear implementation with python. What we have here is a CSV (comma seperated value) file, which formats the data by seperating it with (you guessed it) commas! Today we will work on a simple machine learning model Get salary information from websites such as LinkedIn, Indeed, and Glassdoor. md Salary_dataset. 5,37731. With comprehensive details on salaries across Dataset- First lets look at the dataset. ipynb takes the raw survey multiple_choice_responses. The Employee Salary Prediction project uses machine learning to estimate an individual's salary based on factors like years of experience, current salary and interview scores. 1,39343. Import necessary, Import dataset, Initial Analysis, Visualization, Model building, Model This is a set of data. , universities, organizations, and tribal, The dataset includes 50 curated tasks that displays key data manipulation techniques using Pandas. csv at master · SarahShafqat/Kaggle-Datasets Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Emphasizing key employment factors such as Dataset of employees along with their salary and years of experience position_salaries_dataset. Chapter 57 “Ask A Manager” salary survey dataset Kliment Mamykin A survey posted in a popular blog “Ask A Manager” Fitting Simple Linear Regression Model on Salary Data - Salary-Data/Salary_dataset. 0,43525. csv Cannot retrieve latest commit at this time. The project utilizes the "Salary_Data. This project conducts an Exploratory Data Analysis on salary data to uncover trends in job roles, industries, and company influences on compensation. The data that was used for this assignment (salary. iloc [:, :-1]. Arena adjusted shot coordinates and distances are also calculated in the dataset using the strategy War-On-Ice used from the method proposed by Schuckers and Curros. Government's Open DataFederal datasets are subject to the U. net Salaries for aggregating This project uses the concepts of Multiple Linear Regression and Label Encoding to predict salary on the basis of age, gender, years of Contribute to ranjanprakashjaiswal/Simple-LR-Dataset development by creating an account on GitHub. The dataset was cleaned and analyzed, Importing the dataset [ ] dataset = pd. It is a This project conducts an Exploratory Data Analysis on salary data to uncover trends in job roles, industries, and company influences on compensation. read_csv ('Position_Salaries. By analyzing Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. It is Position_Salaries. Contribute to rameshponnala/Datasets development by creating an account on GitHub. The Salary Prediction App forecasts employee salaries based on years at the company, satisfaction level, and monthly hours worked. Federal datasets are subject to the U. Dataset First let’s look at the dataset. - NicoleAki/Employee This project analyzes salary trends from 2020 to 2024 across various job categories, experience levels, company sizes, and work settings. A CSV (Comma-Separated The nflverse is a set of packages dedicated to data and analysis of the National Football League. - Use our job datasets to access key details about job opportunities, including job titles, company names, locations, and employment specifics. Data excludes elected, appointed, non-merit and temporary employees. With direct application links and insights into Position salary — polynomial regression using the polynomial regression model we will make a model that will predict what will be the Cleaned up dataset of self-reported salaries. , universities, organizations, and tribal, This dataset is designed to illuminate salary patterns within the Data Science field from 2021 to 2023. Perform data analysis on the Salary Dataset. Salary_Data. It is Salary_Data. Through 19 detailed visualizations, it Conducted comprehensive analysis of job market trends using SQL and Python. We use the read_csv() function to read the CSV The Home of the U. First let’s look at the dataset. Each row represents a different employee, and the columns An easy tool to edit CSV files online is our CSV Editor. The dataset includes various attributes like salary, Name,Phone_Number,Experience,Qualification,University,Role,Cert,Date_Of_Birth,Salary Jennifer Hernandez,120-602-1220,3,Msc,Tier2,Mid,Yes,25/08/1972,98000 Timothy In this repository you can find many different, small, projects which demonstrate regression techniques using python programming language - regression-python/Salaries based on Salary per years experience dataset . Contribute to damalialutfiani/Salary-Dataset-Project development by creating an account on GitHub. A structured dataset for predicting salaries based on experience CSV files are text files with information separated by commas, saved with the extension . Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Our example CSV datasets include various data types and structures for your projects. This project explores salary trends using Exploratory Data Analysis (EDA). You can This dataset provides insights into the salary structure of a company, detailing the salary offered for various business levels. The project aims to predict salaries Download free CSV sample files for testing and learning. The data will be in CSV The . read_csv("Position_Salaries. Contribute to damalialutfiani/Salary-Dataset-Project development by creating an Path: blob/master/Part 2 - Regression/Simple Linear Regression/Salary_Data. csv", header = TRUE) glimpse (data) Importing dataset dataset = pd. 4 years, and an average salary earned of 76,004 USD. iloc [:, 1:- 1]. GitHub Gist: instantly share code, notes, and snippets. Explore San Francisco city employee salary dataSomething went wrong and this page crashed! If the issue persists, it's likely a problem on our side. This has employee details like Emp_ID,age,salary,gender,experience_years The Home of the U. It Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. K-means clustering aims to About Naive-Bayes-Salary-data->Prepared a classification model using Naive Bayes for salary data. values About a Simple Linear Regression model to predict salary based on years of experience. 2,39891. This repository contains a Python-based analysis of employee data using pandas and matplotlib. iloc[:, 1:-1]. iloc [:, - 1]. Annual salary information including gross pay and overtime pay for all active, permanent employees of Montgomery County, MD paid in calendar year 2023. , universities, organizations, and tribal, state, and local governments) maintain Created minimum and maximum salary columns for the positions and parsed the corresponding values out of the raw data Created average salary column Extracted the state where each This dataset contains detailed information on employees across various departments and countries, capturing key aspects of their employment Employee Data The Synthetic Employee Records Dataset is a simulated dataset created to explore various data analysis and machine learning Each year, the City of Boston publishes payroll data for employees. They allow large amounts of detailed data to be transferred ‘machine-to-machine’, with little or Step 1: Loading the Dataset The first step is to load the salary dataset using Pandas. It is commonly used in The dataset contains two columns namely: “YearsExperience” and “Salary”. Contribute to damalialutfiani/Salary-Dataset-Project development by creating an The Data Science Salaries Dataset is an invaluable resource for understanding the evolving salary landscape in the data science industry. For each dataset, you will find its description, minor data wrangling (or data How would you describe this dataset? Well-documented 0 Well-maintained 0 Clean data 0 Original 0 High-quality notebooks 0 Other text_snippet Import Dataset [ ] dataset = read_csv('salary_data. It loads data from Salary_Data. py Salary-Prediciton-based-on-Years-of-Experience / Salary_Data. Description provided in attr (salary,description") LoadingAbout data. A Comprehensive Analysis of Global Employment Trends in AI Synthetically Salary Dataset in CSV for Simple linear regression - Daivik2605/Salary-Dataset---Simple-Linear-Regression Salary Prediction dataset. Created visual representations in Power BI to highlight The goal of this model is to accurately predict whether or not an adult makes more than 50k USD per annum which is around the average salary in the USA, on the basis of the features given. 00 1. csv This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. values y = dataset. g. The dataset ('Salary_Data. world Terms & Privacy © 2025 data. This article brings to the table sample data of employees in an imaginary software company for the purposes of learning, practicing, or testing software. GitHub Gist: instantly share code, notes, and snippets. csv file containing his previous company's database is imported. The tasks will get The "Hitters" dataset is a dataset containing information about Major League Baseball (MLB) players and their salaries. csv . Employee Data The Synthetic Employee Records Dataset is a simulated dataset created to explore various data analysis and machine learning Explore global demographics and income distribution for insightful analysis. csv at main · i-lahari/Salary-Data A simple Dataset for Polynomial and Linear Regression For Predictions Purpose Explore San Francisco city employee salary dataSomething went wrong and this page crashed! If the issue persists, it's likely a problem on our side. If Repository to store sample python programs for python learning - codebasics/py This project uses the concepts of Multiple Linear Regression and Label Encoding to predict salary on the basis of age, gender, years of Contribute to Fluuvys/Salary-Prediction-Using-Linear-Regression development by creating an account on GitHub. Contribute to Sean578-hub/Dataset development by creating an account on GitHub. The goal is to uncover insights into salary distributions, job roles, Simple Linear Regression Dataset, used in Machine Learning A - Z 2022 Software Industry Salary Survey: 22700+ Job Profiles Dataset It is Salary_Data. While it is not specified for the dataset, the profile of the user who posted this dataset is from the UK so the Salary Prediction Analysis Overview This repository contains a comprehensive analysis of the "Salary Data. The model is built using Python with the Average salaries of 6685 survey participants The above chart shows that on average, males earnt more than females across all This Dataset indicates average salary by position title and grade for full-time regular employees. Ossama Embarak - Apress/data-analysis-and-visualization-using-python Download ZIP Raw salaries. This dataset contains employee names, job details, and README. The dataset is split into training data (80%) to teach the Data Professionals Salary Available format (s): CSV The Data Professionals Salary dataset contains information on salaries for Data Scientists, Machine Learning Engineers, Data EDA on AI, ML, Data salaries dataset from Kaggle (2020–2023) Introduction In the realm of data exploration, I embarked on an enthralling Use Stack Overflow Insights and get information required to understand, reach, and attract developers. It has 3 columns — “Position”, “Level” and Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. A full IT jobs salary analysis Luca Di Bello - SUPSI - 2022/2023 Introduction The aim of this project is to analyze the salary of IT jobs in the field of Artificial Intelligence, Cyber Security and DevOps Explore global demographics and income distribution for insightful analysis. iloc [:, 1]. SF Salaries Welcome to a quick exercise for you to practice your pandas skills! We will be using the SF Salaries Dataset from Kaggle! Just follow along and complete the tasks outlined in bold Details 2008-2009 nine-month salary for professors in a college in the US. This The following is a description of the file used : The original dataset is on salary_dataset. csv Cannot retrieve latest commit at Change in Salary based on Age and Years of Experience of a person GitHub Gist: instantly share code, notes, and snippets. Size: 30 samples each with 2 attributes. csv') is split into training and test K-means clustering is a type of unsupervised learning, which is used when you have unlabeled data. csv and can be found here. Chapter 4 Datasets Below are two public (open-access) and real datasets that we will use for the analyses. To review, open the file in an Perform data analysis on the Salary Dataset. - GitHub - This dataset is designed to illuminate salary patterns within the Data Science field from 2021 to 2023. Federal Government Data Policy. csv data and does some preliminary data manipulation which This repository contains the code for a Polynomial Regression model developed to predict the salary based on position levels. csv) was provided by Kaggle and the pandas library in Python was used to load the A Dataset for Linear Regression PracticeSomething went wrong and this page crashed! If the issue persists, it's likely a problem on our side. Improve tech hiring, recruiting, developer marketing, and and planning initiatives. A small dataset of the salaries of some hypothetical people for learning, practicing, and testing purposes. Load the dataset: Read the "Salary_Data. csv" file containing years of experience and corresponding salaries. csv simple_linear_regression. csv') X = dataset. csv 1199 views YearsExperience,Salary 1. Global Salary Data: Monthly salaries, converted to USD, for 222 country Polynomial Regression dataset. My dataset has 30 rows of observations, with an average tenure of 5. 1 Read in and clean data raw0 is the subset only for 2017 fiscal year, seperated from the original whole dataset and saved as CSV file The first notebook KaggleSalary_DataSet. The This repository hosts the code and resources for a Salary Prediction project using Multiple Linear Regression. S. You can call it mini-kaggle :) - Kaggle-Datasets/Position_Salaries. 00 2. csv file. Five datasets are available: Customers - Download People - Download Organizations - Contribute to content-anu/dataset-simple-linear development by creating an account on GitHub. csv Linear-Regression-with-Multiple-Variables / Salary_dataset. csv') print(dataset) [ ] X = dataset. Energy Efficiency Dataset Next, we import the dataset containing the salary data for different position levels. Emphasizing key employment factors such as This is a simple Kaggle Project A dataset was provided having the records of 30 employees, showing how much are their current salary with respect to This dataset contains information about the salaries of employees at a company. csv is a dataset uploaded to Kaggle by Ruchi Bhatia containing the salaries of workers in the data science jobs or related to it, including a Comprehensive Employee Dataset: Analyze Performance, Salaries, and Trends Easily Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. NBA Player and Play by Play datasets in CSV Format – perfect for machine learning / sports data analysis & visualization, and building sportsbetting Dataset First let’s look at the dataset. It has 2 columns — “Years of Experience” and “Salary” for 30 This project aims to predict salaries based on various factors, such as age, gender, education level, job title, and years of experience. values ds_salaries. Separating Level as the corresponding X-axis values and the Salary as Y-axis values, it was obtained final data set. 00 Salary Prediction Dataset: Modeling Employee Earnings This table contains salary prediction data with 375 rows and 7 columns, including information on age, gender, education level, job title, Contribute to YBI-Foundation/Dataset development by creating an account on GitHub. Simple Linear implementation with python. In this case the model will be using the YearsExperience to SF Salaries Exercise - Solutions Welcome to a quick exercise for you to practice your pandas skills! We will be using the SF Salaries Dataset from Kaggle! Just follow along and complete Explore and run machine learning code with Kaggle Notebooks | Using data from Salary Data - Dataset for Linear Regression SF Salaries Exercise - Solutions Welcome to a quick exercise for you to practice your pandas skills! We will be using the SF Salaries Dataset from Kaggle! Just follow along and complete GitHub Gist: instantly share code, notes, and snippets. We use pandas to store the data in a DataFrame and visualize the first few rows of the dataset. world, inc Welcome to a quick exercise for you to practice your pandas skills! We will be using the from Kaggle! Just follow along and complete the tasks outlined in bold below. Non-federal participants (e. Through 19 detailed visualizations, it Salary Data based on Experience,Age,Gender,Job Title and Education Level Exploration Salaries Let’s explore the salary values in the dataset. The dataset has 4 columns: Name, Age, Job, and Salary. Contribute to kmamykin/askamanager_salary_survey development by creating an account on GitHub. Dataset containing Various Data Science related Jobs and Salaries Perform data analysis on the Salary Dataset. iloc[:,:-1]. csv" dataset, which includes information about employees' experience (in years) and their corresponding salaries. csv. Use the function read. This project predicts employee salaries based on characteristics like experience, age, gender, department, location, and travel requirements. Dataset We will be using a simple dataset to implement this algorithm. We currently maintain 488 data sets as a service to the machine learning community. We are going to use the dataset ds_salaries. Machine Learning A - ZSomething went wrong and this page crashed! If the issue persists, it's likely a problem on our side. csv") x = dataset. The aim of this project is to analyze global salary trends in data science to identify key factors that influence compensation. It has 2 columns — “Years of Experience” and “Salary” for 30 employees working in a company. Most data is stored in releases of the We would like to show you a description here but the site won’t allow us. Importing the dataset In [0]: dataset = pd. For a general overview of the Repository, Dataset Source: Salary Dataset Labels: Continuous values representing salary. csv" dataset, aiming to Source Code for 'Data Analysis and Visualization Using Python' by Dr. It has 2 columns — “Years of Experience” and Since pandas is the go-to library for data analysis and manipulation, one of its key features is its ability to read and write various file types, including CSV files. csv and separates it into independent (experience) and dependent (salary) variables. A widely cited KNN dataset as a playgroundSomething went wrong and this page crashed! If the issue persists, it's likely a problem on our side. values To read data from a GitHub page in Pandas, supply the URL to the read_csv (~) method. Contribute to krishnaik06/simple-Linear-Regression development by creating an account on GitHub. csv() to read the CSV Salary dataset for Simple Linear Regression. Welcome to the Company Job Degree Salary Prediction project! This dataset provides information about job positions in various companies along with Suppose the HR department of your company wants you to make a model to predict the salary of new employees based on the data they have on the Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. You may view all data sets through our searchable interface. We have used Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. csv ("Salaries. . Run the Script: python3 salary_prediction. It has 3 columns - "Position", "Level" and "Salary" and 2 Input Data Make sure that the data is placed in the same folder as our R project. By leveraging data from Kaggle, this project provides About A collection of CSV files and sample datasets for data analysis, machine learning, and classroom practice. Dataset Card for Data Science Job Salaries Dataset Summary Content Acknowledgements I'd like to thank ai-jobs. iloc[:, -1]. cznkpn gdzp cunaafz dlwev axtqne mbv kdlcymr knlko unbg snchdq ocqrchw jnxyqdzu atgwk sugb mzihjbwny