managing the COVID-19 data with pandasql (US and individual states)

Historical data analysis using SQL, Databricks, Python, PandaSQL, Pandas, and SQL Window functions. .

ETL Transform dataset from joining two dataset Csv and Parquet to PostgreSQL

A take-home SQL coding assessment from J. Crew

SQL analysis using pandasql library to query pandas dataframes using SQL syntax.

Interacting with public cloud object storage

Tranform dataset from Csv to Postgresql using Python Panda Sql

This repository contains the explanatory data analysis done using python numpy, pandas, matplotlib, seaborn and pandasql.

This project focuses on leveraging data to make informed decisions for a company. It utilizes techniques from both Data Science and Software Quality disciplines to analyze data, generate insights, and create actionable metrics. The project involves working with real-world data from Olist, a Brazilian e-commerce platform.

Supermarket Sales Exploration: Uncover trends with pandasql, seaborn, and matplotlib.

IBDA3122 Knowledge Discovery UTS. Applying Knowledge Discovery on (1) Northwind dataset/database. (2) Online Retail dataset using Market Basket Analysis (Apriori Algorithm). Using pandasql & mlxtend library with visualization.

OLAP tool for CSV files using SQL and Pandas syntax.

Everything Python

Detailed analysis of the Olympics Dataset

Script which computes the average time between allegations of misconduct.

Exploratory Data Analysis of IMDB Dataset using Pandasql, Pandas, sqlite3, NumPy, Matplotlib and Seaborn.

This is a brief Insights on causes of flight delay based on Viz and implementation of Airline carrier ranking system based on data of flights to and from Texas ( Bureau of Transportation ) during Jan 2017. Using PandaSQL ( SQL+ Python)