Catalog of my old blog

Catalog

A historical catalog of posts from my earlier Blogger site, with links to older work on statistics, data visualization, R programming, and urban research.

Author

Yang Liu

Published

July 1, 2018

About this archive

This page preserves a catalog of posts from my earlier Blogger site before I moved my research notes into an R-based blog. Most of the linked work is exploratory, but it still captures useful examples in statistics, visualization, R programming, and urban research.

Catalog

As a summary, I would like to create a catalog for the main topics I wrote on Google Blogger before July 2018. I included some figures too, most were created in R.

1. Details behind my work at Marron Institute

2. Data Visualization

3. Introduction to Statistics

4. R programming and statistical modeling

--- title: "Catalog of my old blog" author: "Yang Liu" date: "2018-07-01" description: "A historical catalog of posts from my earlier Blogger site, with links to older work on statistics, data visualization, R programming, and urban research." categories: - "Catalog" tags: - "Catalog" page-layout: article execute: freeze: true eval: false resources: - "source.Rmd" - "index_files/**" - "images/**" - "temp/**" - "2018-07-20-catalogue-on-my-old-blogger_files/**" - "*.png" - "*.jpg" - "*.jpeg" - "*.JPG" - "*.PNG" - "*.gif" - "*.svg" - "*.rds" - "*.csv" - "*.xlsx" --- <div id="about-this-archive" class="section level1"> <h1>About this archive</h1> This page preserves a catalog of posts from my earlier Blogger site before I moved my research notes into an R-based blog. Most of the linked work is exploratory, but it still captures useful examples in statistics, visualization, R programming, and urban research. </div> <div id="catalog" class="section level1"> <h1>Catalog</h1> As a summary, I would like to create a catalog for the main topics I wrote on Google Blogger before July 2018. I included some figures too, most were created in R. 1. Details behind my work at Marron Institute <ul> <li><a href="https://yangliuresearch.blogspot.com/2018/01/power-law-distribution-pareto-zipfs-law.html">The Zipf’s Law in details and the math behind</a> <img src="2018-07-20-catalogue-on-my-old-blogger_files/Zipf%20CDFs.jpeg" style="width:60.0%" /> </li> <li><a href="https://yangliuresearch.blogspot.com/2018/01/interesting-findings-on-weights.html">How to use our city and population weights</a> </li> <li><a href="https://yangliuresearch.blogspot.com/2018/01/how-to-get-city-gdp-for-universe-of.html">How I created the city-level GDP per capita</a> </li> <li><a href="https://yangliuresearch.blogspot.com/2018/01/fixed-minor-issue-calculating.html">How I calculated the distances for airport score</a></li> </ul> 2. Data Visualization <ul> <li><a href="https://yangliuresearch.blogspot.com/2018/03/week-319-how-many-jobs-are-passed-on.html">The pattern of 3.5 million commuting trips in Chicago</a> <img src="2018-07-20-catalogue-on-my-old-blogger_files/Chicago%20small.JPG" style="width:60.0%" /> </li> <li><a href="https://yangliuresearch.blogspot.com/2018/03/visualization-of-workhome-density-and.html">Visualization using heatmap</a> <img src="2018-07-20-catalogue-on-my-old-blogger_files/Work%20-%20Live%20Count.JPG" style="width:60.0%" /> </li> <li><a href="https://yangliuresearch.blogspot.com/2018/01/3d-world-map-and-global-housing.html">3D World Map: Air Connectivity (Airport Score)</a> <img src="2018-07-20-catalogue-on-my-old-blogger_files/v3.JPG" style="width:60.0%" /> </li> <li><a href="https://yangliuresearch.blogspot.com/2018/01/redo-airport-score.html">Method and New Updates for Airport Score</a> </li> <li><a href="https://yangliuresearch.blogspot.com/2018/01/visualization-of-conflicts-in-colombia.html">Visualization of Conflicts in Colombia and the World</a> <img src="2018-07-20-catalogue-on-my-old-blogger_files/Colombia%20conflict%20PDETS%20v2.JPG" style="width:60.0%" /> </li> <li><a href="https://yangliuresearch.blogspot.com/2018/02/city-population-growth-rate-and-income.html">City population, growth rate, and income</a></li> </ul> 3. Introduction to Statistics <ul> <li><a href="https://yangliuresearch.blogspot.com/2018/03/boxplot-as-vertical-histogram.html">Boxplot can be viewed as a vertical histogram</a> <img src="2018-07-20-catalogue-on-my-old-blogger_files/living%20histogram.jpg" style="width:60.0%" /> </li> <li><a href="https://yangliuresearch.blogspot.com/2018/02/rss-statistic-of-year-69-americans-were.html">RSS Statistic of the year: 69 Americans were killed by lawnmowers annually</a> </li> <li><a href="https://yangliuresearch.blogspot.com/2018/01/why-perfect-correlation-can-mean.html">Why a perfect correlation can mean nothing</a> </li> <li><a href="https://yangliuresearch.blogspot.com/2018/01/why-it-is-so-wrong-to-average-ratios.html">Why it is so wrong to average ratios: Simpson’s paradox</a> </li> <li><a href="https://yangliuresearch.blogspot.com/2018/01/the-weighted-standard-deviation.html">How to calculate the weighted standard deviation</a> </li> <li><a href="https://yangliuresearch.blogspot.com/2018/02/logistic-regression-can-be-equivalent.html">Logistic regression can be equivalent to contingency table explained by an example</a></li> </ul> 4. R programming and statistical modeling <ul> <li><a href="https://yangliuresearch.blogspot.com/2018/06/modeling-of-slums-model-selection-using.html">Modeling of Slums: Model Selection using Lasso and Best Subset</a> <img src="2018-07-20-catalogue-on-my-old-blogger_files/1.1.JPG" style="width:60.0%" /> </li> <li><a href="https://yangliuresearch.blogspot.com/2018/07/best-subset-selection-in-both-r-and-sas.html">Best subset selection uses the branch and bound algorithm to speed up</a> </li> <li><a href="https://yangliuresearch.blogspot.com/2018/04/spatial-join-is-very-useful-project.html">Spatial join is very useful: project coordinate onto geological grid</a> </li> <li><a href="https://yangliuresearch.blogspot.com/2018/05/batch-analysis-group-of-data-files-in-r.html">How to batch analysis multiple data files in R</a></li> </ul> </div>