Introduction Data Overview Load Data Data Manipulation Data Exploration Data Visualisation Conclusions Introduction The Kaikoura earthquake happened just after midnight on 14 November 2016. After reading this article Astonishing Nasa photos show Kaikoura land raised by earthquake I thought it would interesting to look at what open data is available to view the land changes from the article. This analysis has the following objectives:
Introduction Data Data Cleaning Visualisations Conclusions Introduction The motivations for cycling around town can be for fitness, economic or environmental reasons. However in Auckland the weather and the 53 odd volcanoes could be deterrents to would-be cyclists. Auckland Transport (AT) publishes daily and monthly bike count data from counters around Auckland now available under CC BY 4.0 license. Kia ora, us again!
Introduction Load the data Summary of data Clean Data Exploratory Data Analysis Feature Engineering Training Create Scorecard Conclusions Introduction Credit Risk modeling predicts whether a customer or applicant may or may not default on a loan. These models include predictor variables that are categorical or numeric. One of the outputs in the modeling process is a credit scorecard with attributes to allocate scores. The objectives of this post are as follow:
Introduction Data Clean Data Success Factors Specific Events Resulting in Internships Social Impact Conclusion Introduction We were looking for a real data from a non-profit organisation for the R-Ladies Auckland Dataviz meetup. We were approached by Summer of Tech(SoT) who volunteered their data for the group to explore. SoT is a non-profit organisation that connects employers with students and graduates for paid work experience and graduate jobs.