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

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.

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

Analyzing school district test performance and budget.

R_basics

The following analysis delves into the generation of summary statistics based on math and reading test results of high school students within a given school district. This analysis then delves further to look at how testing results can be compared within the constraints of school size and budget allocated for each student.

Composition of a VBA Script to be applied to a dataset of daily stocks traded in the years 2018-2020. Script loops through each instance of a stock by each trading day of each year to generate summary statistics for each Ticker (unique identifier of a stock).

Exploratory analysis on the reduction in tumor volume for mice based on the experimentation with treatment of various drug regiments. Results have been explored and charted using Matplotlib

Data Manipulation Techniques Using Pandas library in Python