python-pandas

Repository to store sample python programs for python learning

Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manipulate tabular data in rows of observations and columns of variables.

Using Python Pandas dataframe to read and insert data to Microsoft SQL Server

Uber is interested in predicting rider retention. To help explore this question, they have provided a sample dataset of a cohort of users.

Apply machine learning algorithms to data analysis,modeling and recommender system for hands-on practice.

This is a repository which contains a small demo of danfo.js. danfo.js is an open source, JavaScript library providing high performance, intuitive, and easy to use data structures for manipulating and processing structured data.

Python学习资料的搜集和整理，方便朋友们的学习...持续更新...需要的记得star一下

To visualize aspects of the chess variation chess960/Fischer Random.

Analysis of Paycheck Protection Program by the government done to the Covid crisis in 2020. This repository focuses on merging, cleaning, normalizing and exploring the data using Python, Python Pandas and PySpark.

Employee exit survey results from two institutes, Department of Education, Training and Employment (DETE) and the Technical and Further Education (TAFE) in Queensland, Australia, were analyzed to discover if there were notable relationships between employee dissatisfaction rates, and factors such as their Age, and how long they had been working at their respective institutes.

Project examines factors affecting the change in car sales between 2019 and 2020 utilizing real world data, python, pandas, matplotlib and jupyter notebook.

Analyze various NFL projects designed to increase ROI for NFL Prospects

A small project to demonstrate the ability of python pandas and openpyxl for data analysis and automation of excel sheets

Uses Python Pandas to generate a report that breaks down a start-up video game's purchasing data into meaningful insights.

Purchase Analysis of purchasers broken down by gender, age, and user ID utilizing Jupyter notebooks, python, and the pandas library.

Fintech Hiring Trends in the Largest U.S. Banks Analysis

Interactive JavaScript Dashboard and API for the 2019 California wildfires.

Análise de dados do reembolso de senadores em 2018 com a biblioteca Pandas do Python

Using Python and SQLAlchemy to do basic climate analysis and data exploration of our climate database. Then after initial analysis, designing a Flask API based on the queries that we just developed.

Python Data Analysis using pandas

This project is part of Advanced Data Analysis Nanodegree with Udacity. It includes performing an exploratory data analysis using Python. Then, create a presentation with explanatory plots.

Quantium Virtual Experience Program hosted by Forage

my experiments with Pandas

Analysis of Pymaceuticals's recent animal study screening for potential anti-cancer treatments. Provided a statistical analysis of the drug regimens and their effectiveness in reducing tumor volume.

Build and evaluate several machine-learning models to predict credit risk using free data from LendingClub.

Loaded the iris dataset in Python using a Pandas data frame.Performed a PCA using Scikit Decomposition component.Plotted the Principal Components to recreate the scatterplot for each flower type

This python package lets you automatically download and parse european forest data from several different public sources.

statistics, machine-learning, symbolic math done in Python

This ride sharing analysis was done with data used from both Lyft and Uber the data is from 2018 and has rides with city active driver and historic rides with city and driver count with individual fares and city type.