There are 2 repositories under datamanipulation topic.
Collection of various algorithms implemented in R.
Collection of personal SQL projects and queries I've worked on, showcasing my skills and expertise in database management, data analysis, and data manipulation using SQL.
High performance & light weight alternative to Pandas with ML focused tooling. (Work in progress x100!)
Analyzing the historical cryptocurrency trading dataset, to portrait its dynamic landscape and dig into features of crypt currencies to figure out if any patterns in their price movement.
In this online program, I completed similar tasks that KPMG Graduates do in the company. I learned what it is like working at one of the world’s best data analytics team, and built skills required to excel as a analytics consultant.
Bike rental prediction, blending predictive analytics and machine learning, optimizes inventory, pricing, and operations. It harnesses historical data, weather patterns, and time dynamics to enhance efficiency and elevate customer experiences.
Welcome to my GitHub project repository, where I have meticulously curated a collection of my data-related endeavors. Within these digital pages, you'll find a comprehensive overview of my projects, showcasing my skills and experiences in the realm of data analysis.
This is a data analysis and time series prediction that was based on labor absent records in Thulhiriye MAS Factory.
this repository is created to the learning purpose of R programming language
DataCamp Project Solutions
This repo. Contains Advance level Data science /Deep Learning/Machine Learning Projects offered by Bharat Intern
Analyzing the relative popularity of programming languages over time based on Stack Overflow data.
Collections of supervised project completed using Python on DataCamp.
This repository is demonstration of Pandas library of Python's super powers.
A relational model database made for a university assignment.
Inaccurate informations can be detected using this approach.
This assignment centered around advanced data minipulation: gathering columns, using pipes, and creating new columns with mutate. As in homework 2, Census data on Michigan was used as a base for this assignment. Simple statistics such as mean, median and trimmed mean were used to describe the variables. Visualization was also implemented to help describe the variables to come to conclusions regarding Michigans socio-economic status. Stacked bar charts and histograms proved to be very helpful.
In this project, data about Netflix's films was provided and I use some Data Manipulation skills to determine if films's duration in the last 10 years has decreased.
I studied the crops area, production and yield in different districts of West Bengal from 1966 to 2017. I also looked into the prices of harvested crops during this period.
This project explores underlying factors contributing to farmer suicides in India and facilitating targeted interventions. Using advanced data visualization techniques, this report provides a comprehensive analysis of several factors such as Regional trends and hotspots, causes & correlations etc.
This project offers a concise yet comprehensive exploration of over a century’s worth of the prestigious chess event. Covering key players, memorable matches, and various openings, it seeks to provide chess enthusiasts, historians, and casual observers alike with a deeper understanding and appreciation of the world of chess.
Datacamp Projects
Data Analysis Project using Python(Numpy, Pandas, Seaborn, matplotlib)
This repository is for newcomers into the data science world. It Summarizes three key areas Data Exploration,Manipulation and Data Cleaning
Collection of SQL challenges designed to demonstrate my skills and expertise in database management, data analysis, and data manipulation using SQL. This repository serves as a showcase of my abilities to handle complex SQL queries, optimize database performance, and solve real-world data problems.
This repository contain all frequency ask interview questions in data structure and algo.
Analyzing various apps found on the Google Play Store with the help of different python libraries. The dataset is chosen from Kaggle. It is the web scraped data of 10k Play Store apps for analyzing the Android market. It consists of in total of 10841 rows and 13 columns.
This report presents a detailed analysis of an online sport retail business, focusing on revenue metrics, product performance, customer engagement, pricing strategy, brand analysis, and seasonal trends. Through Python and SQLite, various aspects of the business were examined and revealing key insights into revenue generation.
Industry Stock Data Manipulation and Dashboard creation Data Analysis Task.
This project automates certificate generation, benefiting organizations by reducing manual effort and ensuring formatting consistency. Utilizing PIL and pandas for data manipulation, alongside font customization, it streamlines issuance. Developed in Python, it offers an efficient, versatile solution for certificate creation.
The Health Tracker App redefines wellness tracking through cutting-edge technology. Powered by Streamlit, Firebase, and the Nutritionix API, it provides seamless user experiences and in-depth health insights. Users can effortlessly monitor food intake, exercise, and sleep patterns, and create their own secured personalized profiles. Track wellness!
Explore the captivating world of retail data analysis! In this series, we dive into Supermarket Sales Analysis using Python to uncover fascinating insights and trends hidden within the data.
Discover the multifaceted aspects of employment at the University of Massachusetts Boston through an in-depth data analysis. Dive into salary distributions, performance evaluations, staffing structures, additional pay impacts, and engagement metrics to gain a comprehensive understanding of the university's employment landscape.