Explore San Francisco City Employee Salary Data

Explore San Francisco City Employee Salary Data

Using this Kaggle dataset, you will explore which type of employees make less or more money, or which employees get normal pay hikes and promotions.

Videos

Each project comes with 2-5 hours of micro-videos explaining the solution.

Code & Dataset

Get access to 50+ solved projects with iPython notebooks and datasets.

Project Experience

Add project experience to your Linkedin/Github profiles.

Customer Love

Read All Reviews

Arvind Sodhi

VP - Data Architect, CDO at Deutsche Bank

I have extensive experience in data management and data processing. Over the past few years I saw the data management technology transition into the Big Data ecosystem and I needed to follow suit. I... Read More

Camille St. Omer

Artificial Intelligence Researcher, Quora 'Most Viewed Writer in 'Data Mining'

I came to the platform with no experience and now I am knowledgeable in Machine Learning with Python. No easy thing I must say, the sessions are challenging and go to the depths. I looked at graduate... Read More

What will you learn

Understanding the problem statement
Importing a zipped dataset
Installing necessary libraries and understanding its use
Different types of datatypes
Using the summary function in R and interpreting its output
Converting factor to numerical type
Performing basic EDA and checking for null values
Filling the null values using appropriate methods
Using ggplot fo rvisualization
Visualization through scatter plot and understanding the spread
Grouping different columns and plotting density plots to understand the distribution
Using boxplot and whisker plot for visualizing outliers
What are outliers and why is it necessary to fix outliers
Quantile plots to check the normality of data

Project Description

The best way to understand how a city government works is to look at what kind of employees it employs and how they are compensated. This kaggle SF Salaries dataset contains the name, job title and compensation offered to San Francisco city employees annually from 2011 to 2014.

Similar Projects

In this NLP AI application, we build the core conversational engine for a chatbot. We use the popular NLTK text classification library to achieve this.

In this project, we will automate the loan eligibility process (real-time) based on customer details while filling the online application form.

In this data science project, you will learn how to perform market basket analysis with the application of Apriori and FP growth algorithms based on the concept of association rule learning.

Curriculum For This Mini Project

13-Feb-2016
05h 41m