Built a weather analysis from a given SQLite database file and using SQLAlchemy I analyzed the data.
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Updated
Aug 17, 2021 - Jupyter Notebook
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.
Statistical analysis of vehicle production metrics with R
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 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
Searching for an effective strategy to reduce traffic-related deaths in the United States.
Perform linear regression and T-tests on vehicle data
providing summarized data to decision-makers using the following skills
Using matplotlib bar charts to analyze (hypothetical) mushroom data.
Analyzing school district test performance and budget.
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).
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