This is the Windows app named ExData Plotting1 whose latest release can be downloaded as ExData_Plotting1sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named ExData Plotting1 with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.
- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application and install it.
- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.
Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.
SCREENSHOTS
Ad
ExData Plotting1
DESCRIPTION
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
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/exdata-plotting1.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
