gravatar

JonTing

Jonathan Yik Chang Ting

Recently Published

Natural Language Processing on SwiftKey Datasets Shiny App Pitch
Johns Hopkins Data Science Capstone Coursera course final project pitch
Natural Language Processing on SwiftKey Datasets Quiz 3
Johns Hopkins Data Science Capstone Coursera course quiz 3
Natural Language Processing on SwiftKey Datasets Quiz 2
Johns Hopkins Data Science Capstone Coursera course quiz 2
Natural Language Processing on SwiftKey Datasets Milestone
Johns Hopkins Data Science Capstone Coursera course milestone report
Shiny App Reproducible Pitch
Johns Hopkins Developing Data Products assignment 3 part 2
Visualize Seatbelt Dataset using Plotly
Johns Hopkins Developing Data Products Cousera course assignment 2
Populations of Australian Cities
John Hopkins Developing Data Products Coursera course week 2 project.
Human Activity Recognition Prediction
John Hopkins Practical Machine Learning Coursera course final project
Motor Trend Cars Miles per Gallon Analysis
Regression Models Coursera course final project.
Exponential Distribution in R vs Central Limit Theorem (Part 2)
Statistical Inference Coursera course final project part 2.
Exponential Distribution in R vs Central Limit Theorem (Part 1)
Statistical Inference Coursera course final project part 1.
Report on the Impact of Severe Weather Events on Population Health and Economy
Peer review course project for John Hopkin's Reproducible Research Coursera course.
Analysis on the Activity Monitoring Data
This assignment 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 variables included in this dataset are: - steps: Number of steps taking in a 5-minute interval (missing values are coded as NA) - date: The date on which the measurement was taken in YYYY-MM-DD format - interval: Identifier for the 5-minute interval in which measurement was taken The dataset is stored in a comma-separated-value (CSV) file and there are a total of 17,568 observations in this dataset.