Sf salaries dataset free md","path":"README. In order to do that, we'll use San Francisco dataset available on (https://www. Read Salaries. GitHub Gist: instantly share code, notes, and snippets. Resolução da lista de exercícios disponibilizada no Bootcamp de Python, Data Science e Machine Learning usando Pandas e um dataset do Kaggle - fhelena/sf-salaries Contribute to natitaw/python-for-Data-Science-and-Machine-Learning-Bootcamp development by creating an account on GitHub. kaggle. The analysis includes data exploration, cleaning, and visualization to uncover insights such as the highest and lowest paid positions, average salary trends over the years, and job title frequency. Blame. Top. I explore San Francisco city employee salary data, which can be found on kaggle: https: \\n\","," \" \\n\","," \" \\n\","," \" \\n\","," \" Id \\n\","," \" BasePay \\n\","," \" OvertimePay An analysis of the city of San Francisco salaries dataset - chiundidza/SALARIES-DATASET A complete analysis of data from a company in San Francisco from Kaggle using numerous queries. gitignore","path":". The original data source contains salaries data of all cities and counties in California. Link: http://bit. - sf_salaries. DataFrame'> RangeIndex: 148654 entries, 0 to 148653 Data columns (total 13 columns): Id 148654 non-null int64 EmployeeName 148654 non-null object JobTitle 148654 non-null object BasePay 148045 non-null float64 OvertimePay 148650 non-null float64 OtherPay 148650 non-null float64 Benefits 112491 non-null 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 below. Import pandas as pd. Search datasets by keyword above or by category and department below. Learn more. ipynb at master · DishaGoel/Python-for-data-analysis Apr 19, 2018 · SF Salaries Exercise ¶ We will be using the SF Salaries Dataset from Kaggle! Just follow along and complete the tasks outlined in bold below. {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":". Host and manage packages Security. Next steps would be to <class 'pandas. In this case study, see how to use Excel PivotTables to review salary information for government employees in San Francisco, including employee names and titles, as well as base and overtime pay Explore and run machine learning code with Kaggle Notebooks | Using data from SF Salaries An in-depth analysis of SF Salaries dataset using pandas for Python learners. DataFrame'> RangeIndex: 148654 entries, 0 to 148653 Data columns (total 13 columns): # Column Non-Null Count Dtype --- ----- ----- ----- 0 Id 148654 non-null int64 1 EmployeeName 148654 non-null object 2 JobTitle 148654 non-null object 3 BasePay 148045 non-null float64 4 OvertimePay 148650 non-null float64 5 OtherPay 148650 non-null float64 6 Benefits 112491 non-null Contribute to rahmaashraf310/SF-salaries-Dataset development by creating an account on GitHub. Learn more All data is free to use. Saved searches Use saved searches to filter your results more quickly The dataset contains information on the earnings of San Francisco city employees from multiple years. Search and explore open data from the City and County of San Francisco. The original analysis was very thorough, so seeking modifications or tweaking of any sort given the original analysis was somewhat difficult. SF Salaries Analysis; #R Script. DataFrame'> RangeIndex: 148654 entries, 0 to 148653 Data columns (total 13 columns): Id 148654 non-null int64 EmployeeName 148654 non-null object JobTitle 148654 non-null object BasePay 148045 non-null float64 OvertimePay 148650 non-null float64 OtherPay 148650 non-null float64 Benefits 112491 non-null float64 TotalPay 148654 non-null float64 TotalPayBenefits 148654 An analysis of the classic SF salaries dataset with a few ML algos examined. This data contains the names, job title, and compensation for San Francisco city employees on an annual basis from 2011 to 2014. Instant dev environments One way to understand how a city government works is by looking at who it employs and how its employees are compensated. This data is summarized and presented on the Employee Compensation report hosted at http://openbook. DataFrame'> RangeIndex: 148654 entries, 0 to 148653 Data columns (total 13 columns): Id 148654 non-null int64 EmployeeName 148654 non-null object JobTitle 148654 non-null object BasePay 148045 non-null float64 OvertimePay 148650 non-null float64 OtherPay 148650 non-null float64 Benefits 112491 non-null float64 TotalPay 148654 non-null float64 TotalPayBenefits 148654 Saved searches Use saved searches to filter your results more quickly Find and fix vulnerabilities Codespaces. Saved searches Use saved searches to filter your results more quickly Explore and run machine learning code with Kaggle Notebooks | Using data from SF Salaries Contribute to bryanzheng2222/SF-Salary-Dataset development by creating an account on GitHub. pdf. DataFrame'> RangeIndex: 148654 entries, 0 to 148653 Data columns (total 13 columns): # Column Non-Null Count Dtype --- ----- ----- ----- 0 Id 148654 non-null int64 1 EmployeeName 148654 non-null object 2 JobTitle 148654 non-null object 3 BasePay 148045 non-null float64 4 OvertimePay 148650 non-null float64 5 OtherPay 148650 non-null float64 6 Benefits 112491 non-null <class 'pandas. - danagh1/SF-Salaries-Data-Analysis-With-Python Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. ipynb. File metadata and controls. omaryehia012 / Analyze_SF_Salaries_dataset_from_Kaggle Public. The project uses the SF Salaries Dataset from Kaggle! The project conducts basic operations of a dataset such as- reading records, finding head values, finding the number of entries in a dataset… A gallery of the most interesting jupyter notebooks online. 07 MB <class 'pandas. Reload to refresh your session. About. I looked at the data with linear and logistic regression, a decision tree classifier, random forest classifier, and finally a KMeans classifier. If you want to solve it all by yourself, you can download notebooks file here and dataset here / / / / / / / / / / / / / / / / / / / / / Now Lets get started. The tasks will get harder and harder as you go along. A Comprehensive analysis of the San Francisco salaries dataset, focusing on employee compensation trends and job titles over multiple years. Contribute to funkimunk/Hadoop-DataSets development by creating an account on GitHub. Notifications You must be signed in to change notification settings; Fork 0; Star 0. SF-Salaries Dataset (Python-Pandas). Let’s walk through the tasks we performed: Importing and loading data. Explore and run machine learning code with Kaggle Notebooks | Using data from SF Salaries I am practising my pandas skills on SF Salaries Dataset from Kaggle which I used in my Udemy Course exercise - Issues · Lameah/SF-Salaries-Dataset- The original dataset only contains salaries in San Francisco. Mar 10, 2021 · Plotting SF salaries using the DiagrammeR R package. This dataset contains information about salaries and job titles of employees in San Francisco from the years 2011 to 2014. The best performer was the random forest classifier. csv. - GitHub - Andyy-18/Kaggle-SF-salaries: A complete analysis of data from a company in San Francisco Exercises of Udemy Jose Portillo Python for Data Science Course - mgoycoolea/PythonDataScienceCourse Saved searches Use saved searches to filter your results more quickly Explore and run machine learning code with Kaggle Notebooks | Using data from SF Salaries Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Which you can find here. com/kaggle/sf-salaries). After studying and analyzing different trends and distribution of the salaries from the dataset, we have come to the conclusion that the distribution of salaries is quite uneven in the city of San Francisco. 1 SF Salaries Exercise; 2 Great Job! You signed in with another tab or window. the SF Salaries Dataset from Kaggle! . core. This gives detailed python code for most common datasets for beginners. The objective of this project is to analyze the salary data to gain insights into salary distributions, overtime trends, and department-level salary comparisons. here if you are not automatically redirected practice pandas skills in SF Salaries dataset from kaggle - GitHub - Ibrahim182/SF-Salaries-dataset: practice pandas skills in SF Salaries dataset from kaggle Practice EDA explatory data analysis with SF Salaries dataset. Email [email protected] with questions. The San Francisco Controller's Office maintains a database of the salary and benefits paid to City employees since fiscal year 2013. - mertdotcc/exploring-san-francisco-salary-dataset Explore and run machine learning code with Kaggle Notebooks | Using data from SF Salaries Checking your browser before accessing www. Explore San Francisco city employee salary data Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Contribute to lekhanhh/Predict-Salary-using-Linear-Regression development by creating an account on GitHub. Find and fix vulnerabilities Saved searches Use saved searches to filter your results more quickly Explore and run machine learning code with Kaggle Notebooks | Using data from SF Salaries Dec 15, 2021 · GitHub Gist: instantly share code, notes, and snippets. SF Salaries. An in depth description of the data, variables and statistics can be found on Kaggle website where the data were obtained:SF Salaries dataset. pdf from CSE 1 at Maulana Abul Kalam Azad University of Technology (formerly WBUT). Sep 30, 2019 · 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 below. DataFrame'> RangeIndex: 148654 entries, 0 to 148653 Data columns (total 13 columns): Id 148654 non-null int64 EmployeeName 148654 non-null object JobTitle 148654 non-null object BasePay 148045 non-null float64 OvertimePay 148650 non-null float64 OtherPay 148650 non-null float64 Benefits 112491 non-null Analysis of Salaries in San Francisco. Contribute to smalik-hub/SF-Salaries-Dataset-Project development by creating an account on GitHub. #Input Data: From Kaggle; From Github; #Analysis. Free datasets. Saved searches Use saved searches to filter your results more quickly Contribute to Praveenippili/DataSets development by creating an account on GitHub. 11/2/2020 02-SF Salaries Exercise - Dataset : SF Salaries. Find and fix vulnerabilities Data Analysis of SF Salaries Dataset from Kaggle. 4. Code; Issues 0; practice pandas skills in SF Salaries dataset from kaggle - Issues · Ibrahim182/SF-Salaries-dataset Explore and run machine learning code with Kaggle Notebooks | Using data from SF Salaries Host and manage packages Security Our San Francisco dataset comes from Kaggle and you can find it here. Code. - Python-for-data-analysis/SF Salaries Exercise using Pandas. Includes data insights, code, and step-by-step explanations for beginners to master pandas. practice data analyst tasks through a random case study Resources. Practice your pandas skills with this exercise! Contribute to Graceyolad In this jupyter notebook make my first steps in data exploration. csv as a dataframe called sal. - Used MapReduce programming model for processing and analysing big data sets. SF Salaries Exercise. gitignore","contentType":"file"},{"name":"README. sf-salaries-2011-2013. csv into a DataFrame called sal. sfgov. Oct 8, 2020 · Today i will completing Pandas Exercise using SF Salaries. The purpose of this project is to demonstrate the pandas library data manipulation operations. Saved searches Use saved searches to filter your results more quickly Saved searches Use saved searches to filter your results more quickly the SF Salaries Dataset from Kaggle! . DataFrame'> RangeIndex: 148654 entries, 0 to 148653 Data columns (total 13 columns): # Column Non-Null Count Dtype --- ----- ----- ----- 0 Id 148654 non-null int64 1 EmployeeName 148654 non-null object 2 JobTitle 148654 non-null object 3 BasePay 148045 non-null float64 4 OvertimePay 148650 non-null float64 5 OtherPay 148650 non-null float64 6 Benefits 112491 non-null Here I'm exploring the kaggle dataset. Technology Used: Hadoop,Map Reduce, JAVA - Designed and implemented a Hadoop application that uses SF Salary Big data set and calculates how salaries changed over time for different professions. <class 'pandas. org, and is also available in this dataset in CSV format. R script; R Markdown In this exercise, we explored the SF Salaries dataset using Pandas in Deepnote. San Francisco has hundreds of open datasets released through our progressive open data policy. Saved searches Use saved searches to filter your results more quickly Saved searches Use saved searches to filter your results more quickly The purpose of this project is to perform an exploratory data analysis on the SF Salaries dataset. You switched accounts on another tab or window. Contribute to smefi/SF-Salaries-Data-Analysis development by creating an account on GitHub. ly/2mJFm8zHappy learning! :) Jul 9, 2024 · This dataset contains information about salaries and job titles of San Francisco employees from 2011 to 2014. Check the head of the DataFrame. frame. Get free access to lots of open datasets published by the City & County of San Francisco. Welcome to a quick exercise for you to practice your pandas skills! We will be using the SF Salaries Nov 2, 2020 · View 02-SF Salaries Exercise - Solutions. DataFrame'> RangeIndex: 148654 entries, 0 to 148653 Data columns (total 13 columns): Id 148654 non-null int64 EmployeeName 148654 non-null object JobTitle 148654 non-null object BasePay 148045 non-null float64 OvertimePay 148650 non-null float64 OtherPay 148650 non-null float64 Benefits 112491 non-null Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Learn how to filter and sort. It would be interesting to see if there are any differences between major cities in California, such as San Francisco and Los Angeles. sf-salaries-2014. Titanic Dataset Empezamos (opcional) Para ampliar conocimientos Powered by Jupyter Book. Binder. Contribute to ArianIR77/SF-Salaries-dataset- development by creating an account on GitHub. We imported the Pandas library and loaded the dataset Salaries. Dataset is available from Kaggle Datasets. Find and fix vulnerabilities Saved searches Use saved searches to filter your results more quickly Jul 25, 2017 · First, import the downloaded Salaries dataset using the read_csv method supported by the Pandas library: Let's first see a few entries of the SF Salaries Dataset using the head method: We can see that the dataset has the following columns: Pandas Exercise. Demonstration of the libraries NumPy, Pandas, Seaborn on the public dataset SF Salaries. Contribute to MohamedMohsen7/Analyze-SF-Salaries development by creating an account on GitHub. DataFrame'> RangeIndex: 148654 entries, 0 to 148653 Data columns (total 13 columns): Id 148654 non-null int64 EmployeeName 148654 non-null object JobTitle 148654 non-null object BasePay 148045 non-null float64 OvertimePay 148650 non-null float64 OtherPay 148650 non-null float64 Benefits 112491 non-null Contribute to funkimunk/Hadoop-DataSets development by creating an account on GitHub. md One way to understand how a city government works is by looking at who it employs and how its employees are compensated. You signed out in another tab or window. A gallery of the most interesting jupyter notebooks online. Conclusion. . Contribute to rahmaashraf310/SF-salaries-Dataset development by creating an account on GitHub. This repository has used examples which display the different libraries of python including numpy, pandas, seaborn, sklearn and many others. SF-Salaries One way to understand how a city government works is by looking at who it employs and how its employees are compensated. Find the needle in this haystack fast! Blazing fast search results as you type and responsive filters get you the results you need. This project analyzes employee salaries in San Francisco using SQL to uncover insights into compensation, job titles, and overtime pay patterns. This dataset contains annual data of employees from 2011 to 2014. R Data Analysis : Analyzing (SF Salaries) dataset from Kaggle - MoustafaMohamed01/San-Francisco-salaries-Data-analysis \\n\","," \" \\n\","," \" \\n\","," \" \\n\","," \" Id \\n\","," \" EmployeeName \\n\","," \" JobTitle Write better code with AI Security. Find and download interesting data on a broad variety of categories including finance, housing, safety, environment and much more. com Click here if you are not automatically redirected after 5 seconds. Repository for Datascience and Machine learning bootcamp using Python - ppant/Datascience-MI-Bootcamp-Python Write better code with AI Code review Contribute to Graceyolad/SF-Salaries-Exercise development by creating an account on GitHub. This meant that we had to bring in some variables from the outside in order for us to Write better code with AI Security. xycee rchlkx nablazn lrdlcq gedd psxu tztttak wckx qxs uybi