Interacting with public cloud object storage

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

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.

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

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

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

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

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

A take-home SQL coding assessment from J. Crew

Transform dataset from Csv to Postgresql using Python-PandaSql The purpose of this project is to extract dataset from csv online, transform with several basic technique using python pandasql and load to PostgreSQL.

Detailed analysis of the Olympics Dataset

Script which computes the average time between allegations of misconduct.

OLAP tool for CSV files using SQL and Pandas syntax.

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

Tranform dataset from Csv to Postgresql using Python Panda Sql