Researchers go through fundamental steps in a data analysis project. This workshop highlights key steps in a data analyst's workflow and encourages transparency in each of the steps. Throughout this workshop, we go through hands on exercises that integrate: a transparency engine, obtaining federal API data, producing useful intermediate data structures, and sharing analysis results. […]
Content: Geographically referenced data sets are becoming increasingly common.
In spatial analysis of demographic data, three common spatial indices are used: points, lines, and polygons. Through interspersed hands on exercises, we will: obtain, shape, and visualize demographic data over space. We will briefly discuss the motivation for incorporating geographic association into downstream models.
Below is an example of what we will produce with
1) Obtain GPS locations of In-N-Out's obtained from the Google Radar API
2) Compute their generated Voronoi Tesselation to address spatial competition
3) Aggregate Census 2010 tract-level population counts into these competing geographies
No background knowledge of will be required. The exercises are introductory. We will also highlight alternative software tools to achieve similar goals, such as GrassGIS and Stata
"Innovative Sampling Approaches for Hard to Reach Populations: Design of a National Probability Study of Lesbians, Gay Men, Bisexuals, and Transgender Peoples and Network Sampling of Hard to Reach Populations"
Speakers:
Ilan H. Meyer, Williams Distinguished Senior Scholar for Public Policy at the Williams Institute
Mark S. Handcock, Professor of Statistics at UCLA and Director of the Center for Social Statistics
Description:
Come for the exciting seminar then stay for the free lunch and discussion. A seminar led by Ilan H. Meyer followed immediately by a Brown Bag Lunch led by Mark S. Handcock.
Dr. Meyer is Principal Investigator of the Generations and TransPop Surveys. Generations is a survey of a nationally representative sample of 3 generations of lesbians, gay men, and bisexuals. TransPop is the first national probability sample survey of transgender individuals in the United States. Both studies attempt to obtain large nationally representative samples of hard to reach populations. Dr. Meyer will review sampling issues with LGBT populations and speak on the importance of measuring population health of LGBTs and the underlying aspects in designing a national probability survey.
From a contrasting perspective, the field of Survey Methodology is facing many challenges. The general trend of declining response rates is making it harder for survey researchers to reach their intended population of interest using classical survey sampling methods.
In the followup Brown Bag Lunch, led by Mark S. Handcock, participants will discuss statistical challenges and approaches to sampling hard to reach populations. Transgenders, for example, are a rare and stigmatized population. If the transgender community exhibits networked social behavior, then network sampling methods may be useful approaches that compliment classical survey methods.
Participants are encouraged to speak on ideas of statistical methods for surveys.
Content: Researchers go through fundamental steps in a data analysis project. This workshop highlights key steps in a data analyst's workflow and encourages transparency in each of the steps. Throughout this workshop, we go through hands on exercises that integrate: a transparency engine, obtaining federal API data, producing useful intermediate data structures, and sharing analysis results. We will use Jupyter notebook for literate coding and if time allows demonstrate the Rstudio environment for reproducible development.
"R 4 Stata Users"
This workshop is a brown bag forum. Participants are encouraged to bring in tangible questions they wish to explore using R. To serve as a background road map, the instructor will provide an abbreviated sample of what he thinks are the most useful features of R. However, the goal is to have participants ask questions that the collective group can figure out using R. Any R question is fair game, for example: questions about fundamental R concepts or even questions about how to run Stata-equivalent R commands. Participants will be provided access to Rstudio, so please bring a laptop.
This CCPR brown-bag is intended to be an open forum that complements the 3 great resources below. Please see the resources, especially the first one.
1) 10 minute demo: interactive call–response slideshow of R basics
http://tryr.codeschool.com/
2) Worked out examples from a UCLA IDRE workshop on R concepts
https://stats.idre.ucla.edu/r/seminars/intro/
3) R 4 Data Science e-book
http://r4ds.had.co.nz/
