Built a weather analysis from a given SQLite database file and using SQLAlchemy I analyzed the data.

Comparison of summary statistic selection methods with a unifying perspective.

Summarizing categorical data from a popular car evaluation dataset.

Data analysis of real-life data, calculation of Summary Statistics and Business Metrics, creation of Profit & Loss Dashboards and Financial Forecasting of the New York Stock Exchange (NYSE) Data, with a focus on IBM.

Using Python to determine the most common state plants for New York State. USDA, NRCS. 2021. The PLANTS Database (http://plants.usda.gov, 3 March 2021). National Plant Data Team, Greensboro, NC 27401-4901 USA.

Fictional company AutosRUs’ newest prototype, the MechaCar, is suffering from production troubles that are blocking the manufacturing team’s progress. AutosRUs’ senior management enlisted assistance from the data analytics team to review the production data for insights that may help the manufacturing team overcome their production issues.

A statistical analysis of vehicle production using R

The repository has a project on NYC school data

Exploratory Data Analysis (EDA) on a healthcare dataset. The analysis includes importing necessary libraries for data manipulation, computation and visualisation.

Python package for analysis of 2D Spatial Point Processes including basic utility functions and calculation of summary statistics. To be primarily used to test the hypothesis of CSR.

The analysis uses R language to run a multiple linear regression, t-tests, and generate summary statistics, in order to aid an automotive company in identifying the production troubles that are hindering the manufacture of a prototype car of theirs.

Demonstrating the use of Pandas and Numpy to analyse data. Please see inside for user-friendly, documented coding.

Data analysis of a university ranking dataset using Python

Condense and summarize many results form PADLOC into CSV for heatmaps

The purpose of this analysis is to help Mechacar's Manufacturing team to understand what car features impact car performance the most. The manufacturing team will incorporate the insights into the manufacturing process aiming to produce the best performing cars in the market, rebrand the company image, and regain market share.

Analysis on temperature data for surf and ice cream shop using Python, Pandas, and SQLAlchemy.

CICS197Q UMass Amherst summer semester 2020

A stastical analysis report using R.

Data Science Foundations II | Statistics Fundamentals for Data Science | Sampling for Data Science

Pymaceuticals Data Analysis and Visualization