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EdLoessi

Ed Loessi

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Quarter Mile Time as a predictor of MPG
This analysis plots the quarter mile time of a vehicle and its miles per gallon.
Retail Store Discount Dollars Analysis Presentation
An analysis of store sales and transactions given the discount dollars provided.
Week 3 Store Analysis Plotly Example
Store Sales and Discount Dollar Analysis - This involves reviewing the total store sales and the discount dollars applied to customers.
Example Leaflet Map
Predicting with Trees
Some basic examples of predicting with trees
MPG Analysis Automatic vs Manual Transmissions
The purpose of this particular analysis is to determine which type of transmission is better for higher gas mileage, an automatic transmission, or a manual transmission, and to build the best fit model comparing the two transmissions and other important variables.
Image Analysis Example
An example of k-means clustering and image analysis.
Auto Data Analysis
A review of basic auto data including - MPG, Cylinders, Displacement, Horsepower, Weight, and Acceleration.
Home Power Consumption Analysis
This project uses data from the UC Irvine Machine Learning Repository, a popular repository for machine learning datasets. In particular, I used the "Individual household electric power consumption Data Set" which is available from the location below: https://d396qusza40orc.cloudfront.net/exdata%2Fdata%2Fhousehold_power_consumption.zip I am looking at several common measures for power usage - Global Active Power in Kilowatts, Frequency of Use, and Sub-metering.
Wearable Device Data Cleaning
This project shows how to merge training data and test data from a wearables device analysis into a tidy data format for future analysis.
NOAA Storm Data Research - People and Economic Loss and Damage.
This analysis looks at the human and property losses and costs associated with various storm types in the U.S. The data used comes from the NOAA Storm Data database.
Wearables Data Analysis by User Activity Level
This project makes use of data from a personal activity monitoring device. This device collects data at 5 minute intervals through out the day. The data consists of two months of data from an anonymous individual collected during the months of October and November, 2012 and include the number of steps taken in 5 minute intervals each day. The reports coming from this project include: mean total steps taken per day, average daily activity pattern, inputting of missing values, and the assessment of the difference in activity patterns between weekdays and weekends.