exdata plotting1

We have hosted the application exdata plotting1 in order to run this application in our online workstations with Wine or directly.

Quick description about exdata plotting1:

This repository explores household energy usage over time using the �Individual household electric power consumption� dataset from the UC Irvine Machine Learning Repository. The dataset covers nearly four years of minute-level measurements, including power consumption, voltage, current intensity, and detailed sub-metering values for different household areas. For analysis, focus is placed on a two-day period in February 2007, highlighting short-term consumption trends. The data requires careful handling due to its size of more than 2 million rows and coded missing values. By processing the date and time fields into proper formats, it becomes possible to generate clear time-series plots of energy usage. The repository demonstrates effective exploratory data analysis practices in R with a reproducible workflow for transforming raw data into visual insights.

Features:

• Generates plots from the Individual household electric power consumption dataset
• Provides four dedicated R scripts, each producing a different graph
• Demonstrates subsetting and handling of large datasets in R
• Uses base R plotting functions for reproducible graphics
• Offers a clear example for Coursera�s Exploratory Data Analysis course project
• Focused on energy usage data exploration, including time-series visualizations

Programming Language: R.
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