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<li>
<a href="slides.html">Slides</a>
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<a href="sponsors.html">Sponsors & Venues</a>
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<a href="http://www.meetup.com/Zurich-R-User-Group/">Meetup page</a>
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<div id="header">
<h1 class="title toc-ignore">Slides</h1>
</div>
<p>Here you can find slides from past meetups.</p>
<div id="november-2-2023" class="section level3">
<h3>November 2, 2023</h3>
<ul>
<li><a href="slides/20231102_Thuerlimann.pdf">Unveiling Market Insights
with Real Estate</a> (Andreas Thürlimann, Datahouse)</li>
<li><a href="slides/20231102_Farnham.pdf">Interpretable machine
learning: applications in public health</a> (Andrea Farnham, University
of Zurich)</li>
</ul>
</div>
<div id="september-11-2023-r-integration-and-real-world-problem-solving"
class="section level3">
<h3>September 11, 2023 – R Integration and Real-World Problem
solving</h3>
<ul>
<li>duckplyr: Tight Integration of duckdb with R and the tidyverse
(Kirill Müller, cynkra)</li>
<li>The best bottle is just one (or two) GAMMs away (Luisa Barbanti and
Matteo Tanadini, Zürich Data Scientists)</li>
</ul>
</div>
<div id="jul-2023-re-insurance-and-r---july-edition"
class="section level3">
<h3>05 JUL 2023 – Re-Insurance and R - July Edition</h3>
<ul>
<li>Bayesian mortality modelling: a fresh perspective from A to Z
(Patrick Hogan, Life & Health Analytics at PartnerRe)</li>
<li>An interactive Shiny dashboard to quantify the carbon footprint of
marine insurers’ Hull and Machinery portfolios (Elena Pesce, Business
Analyst at the Swiss Re Institute and technical advisor to the Poseidon
Principles for Marine Insurance)</li>
</ul>
</div>
<div id="july-05-2022-data-visualisation" class="section level3">
<h3>July 05, 2022 – Data Visualisation:</h3>
<ul>
<li>Detecting and analysing space-time correlations with ARCOS (Maciej
Dobrzyński, Postdoc @ University of Berne)</li>
<li>Exploring “The Grammar of Graphics” (Lynda Metref, Principal
Engineer / Data Scientist @ Helbling Technik)</li>
</ul>
</div>
<div id="april-27-2022-all-around-shiny" class="section level3">
<h3>April, 27 2022 – All around Shiny</h3>
<ul>
<li>Comprehensive audit of a Shiny app through CI/CD: toward
production-readiness (David Granjon (<span
class="citation">@divadnojnarg</span>), <span
class="citation">@RinteRface</span> founder and maintainer)</li>
<li>Anomaly Detection on Vote Sundays with R & Shiny (Thomas Lo
Russo, Statistical Office of the Canton of Zurich)</li>
</ul>
</div>
<div id="october-27-2021-spatial-statistics" class="section level3">
<h3>October 27, 2021 – Spatial Statistics</h3>
<ul>
<li>Developing the mlr/mlr3 machine learning framework in R (Patrick
Schratz – M.Sc. in Geoinformatics, member of the mlr-org core team)</li>
<li>varycoef: An R Package for Gaussian Process-based Spatially Varying
Coefficient Models (Jakob Dambon, PhD, Data Scientist Intern @ Swiss Re,
External Lecturer @ Lucerne University of Applied Sciences and
Arts)</li>
</ul>
</div>
<div id="october-29-2020" class="section level3">
<h3>October 29, 2020</h3>
<ul>
<li><a href="https://github.com/statistikZH/SPARQL_WITH_R">SPARQL with
R</a> (Katharina Kaelin, Statistisches Amt, Kanton Zürich)</li>
</ul>
</div>
<div id="january-29-2020" class="section level3">
<h3>January 29, 2020</h3>
<ul>
<li><a href="slides/20200129_PartnerRe_pdfversion.pdf">From survival
analysis to projecting disability payments</a> (Benjamin Abt and Simon
Adamov, PartnerRe)</li>
<li>Data Science at UPC (Felix Reisen, UPC)</li>
<li><a
href="https://rinterface.com/shiny/talks/zurichR2020/index.html#slide=1">shinyMobile:
mobile ready shiny apps</a> (David Granjon, Novartis)</li>
</ul>
</div>
<div id="november-13-2019" class="section level3">
<h3>November 13, 2019</h3>
<ul>
<li><a href="slides/20191113_Perucco.pdf">Predicting the departing
runway of a flight based on a classification tree model</a> (Benjamin
Perucco, Zurich Airport)</li>
<li><a href="slides/20191113_Banha.pdf">NOTAM message classifier</a>
(Joao Banha, Swiss International Air Lines)</li>
</ul>
</div>
<div id="october-14-2019" class="section level3">
<h3>October 14, 2019</h3>
<ul>
<li><a href="slides/20191014_quanteda.pdf">quanteda - Quantitative
Analysis of Textual Data</a> (Stefan Müller, UZH)</li>
<li><a href="https://zhr-meetup-201910.netlify.com/#1">useR!2019
Toulouse : ZRH-PARIS-BORDEAUX-TOULOUSE</a> (Matthias Bannert,
KOF/ETHZ)</li>
</ul>
</div>
<div id="september-16-2019" class="section level3">
<h3>September 16, 2019</h3>
<ul>
<li>Relational data models with the dm package: <a
href="https://github.com/krlmlr/dm/blob/master/demo/zurich.R">R
script</a>, <a href="https://krlmlr.github.io/dm/">package website</a>
(Kirill Müller, cynkra)</li>
<li><a href="slides/20190916_Pres_Datahouse_Crawling.pdf">Tracking Real
Estate Project Web Sites with R</a> (Thomas Maier, Datahouse AG)</li>
</ul>
</div>
<div id="june-18-2019" class="section level3">
<h3>June 18, 2019</h3>
<ul>
<li><a href="slides/20190618_reinforcelearn.pdf">Use case of
reinforcement-learning examplified by Super Mario AI</a> (Sebastian
Heinz & Oliver Guggenbühl, STATWORX)</li>
<li><a href="slides/20190618_duckdb.pdf">Analytical Data Management with
R</a> (Hannes Mühleisen, CWI, University of Amsterdam (UvA))</li>
</ul>
</div>
<div id="may-22-2019" class="section level3">
<h3>May 22, 2019</h3>
<ul>
<li><a
href="https://lyndametref.github.io/docker4r-presentation/docs/">Docker
for R users</a> (Lynda Metref, Helbling Technik AG)</li>
<li><a href="https://rinterface.com/shiny/talks/index.html">Toward
production-ready user interfaces with the R Shiny framework</a> (David
Granjon, UZH)</li>
</ul>
</div>
<div id="april-03-2019" class="section level3">
<h3>April 03, 2019</h3>
<ul>
<li>Medical underwriting triage: An end-to-end machine learning case
study (Alexander Noll, PartnerRe)</li>
<li><a href="slides/20190403_Reber_chartbookR.pdf">Introducing
chartbookR</a> (Kilian Reber, SUVA)</li>
</ul>
</div>
<div id="february-19-2019" class="section level3">
<h3>February 19, 2019</h3>
<ul>
<li><a href="slides/20190219_talkMJK.pdf">On weapons and dialects: The
initial hypothesis and the final story</a> (Marie-José Kolly, NZZ)</li>
<li><a
href="https://docs.google.com/presentation/d/1wWc-yjw33mIA8SrOQd16OoIID54L0wU5mNV4410RxKk">Data
driven journalism at Tamedia</a> (Patrick Meier, Tamedia)</li>
</ul>
</div>
<div id="december-5-2018" class="section level3">
<h3>December 5, 2018</h3>
<ul>
<li><a
href="https://stat.ethz.ch/~maechler/U/R/Zurich_R-2018_ProgR-ALTREP.html#1">What
I find important when R Programming - and Recent Cool Features in R</a>
(Dr. Martin Mächler, ETH Zurich)</li>
</ul>
</div>
<div id="october-25-2018" class="section level3">
<h3>October 25, 2018</h3>
<ul>
<li><a href="slides/20181025_useR_predicting_FIFA_groll.pdf">A
Comparison of Covariate-based Prediction Methods for FIFA World Cups</a>
(Andreas Groll, TU Dortmund)</li>
<li><a
href="slides/20181025_useR_predicting_biathlon_maier.pdf">Predicting
biathlon shooting performance using machine learning</a> (Thomas Maier,
Swiss Federal Institute of Sport Magglingen/datahouse)</li>
</ul>
</div>
<div id="september-3-2018" class="section level3">
<h3>September 3, 2018</h3>
<ul>
<li><a href="slides/20180903_blogdown_rmeetup_tlorusso.pdf">blogdown:
Creating Websites with R Markdown</a> (Thomas Lo Russo, Statistical
Office, Canton of Zurich)</li>
<li><a
href="https://krlmlr.github.io/dbi-slides/2018-09-zurich-meetup/">DBI:
Recent developments in R’s database interface</a> (Kirill Müller, cynkra
GmbH)</li>
</ul>
</div>
<div id="may-16-2018" class="section level3">
<h3>May 16, 2018</h3>
<ul>
<li><a href="slides/20180516_Pres_Schweizer.pdf">Micro location rating
in real estate</a> (Jacqueline Schweizer, Wüest Partner)</li>
<li><a href="slides/20180516_Pres_Papritz.pdf">Speeding R up on your
computer by parallelized computations - a geostatistical case study</a>
(Andreas Papritz, Department of Environmental Systems Science, ETH
Zurich / Statistik Stadt Zürich)</li>
</ul>
</div>
<div id="march-21-2018" class="section level3">
<h3>March 21, 2018</h3>
<ul>
<li><p><a href="slides/20180321_LTPM-in-R.pdf">Long Term Protection
Model</a> (Alexis Iglauer, Partner Re, and Maarten-Jan Kallen,
BeDataDriven, on behalf of Dr. Urszula Gasser, Partner Re)</p></li>
<li><p>Social contact network analysis: static versus dynamic
(time-stamped) approaches (Beatriz Vidondo, Veterinary Public Health
Institute, Department of Clinical Research and Public Health, University
of Bern)</p></li>
</ul>
</div>
<div id="january-8-2018" class="section level3">
<h3>January 8, 2018</h3>
<ul>
<li><a
href="https://www.slideshare.net/NicolaLambiase/big-data-analytics-in-r-using-sparklyr">Big
Data Analytics in R using sparklyr</a> (Nicola Lambiase,
Mirai-Solutions)
<ul>
<li>also available as <a
href="https://gist.github.com/lambiase/f07ba853618a9219137fee0764671c94#file-nyc_tlc-rmd">Rmd</a>
and <a
href="https://cdn.rawgit.com/lambiase/f07ba853618a9219137fee0764671c94/raw/4f65642e012704f087a93e337ee10b486d53e544/nyc_tlc.html">html</a>
files</li>
</ul></li>
<li><a
href="https://www.slideshare.net/Zurich_R_User_Group/anomaly-detection-database-integrated">Anomaly
detection – database integrated</a> (Olaf Nimz, Trivadis)</li>
</ul>
</div>
<div id="november-7-2017" class="section level3">
<h3>November 7, 2017</h3>
<ul>
<li><p><a
href="https://github.com/statistikZH/RMeetup/blob/master/unstructered_data.pdf">Read
and process unstructured data with R</a> (Max Grütter, Statistical
Office, Canton of Zurich)</p></li>
<li><p><a href="https://schnllr.github.io/Meetup">Mastering Corporate
Design with R</a> (Andrea Schnell and Thomas Lo Russo, Statistical
Office, Canton of Zurich)</p></li>
<li><p><a
href="http://prezi.com/ao48t6yeh_vz/?utm_campaign=share&utm_medium=copy&rc=ex0share">Illustration
of pupils’ diversity with R</a> (Flavian Imlig, Zurich State Department
of Education)</p></li>
<li><p><a
href="http://www.christophsax.com/slides/171107-meetup/slides.html">Making
Public Data Public</a> (Christoph Sax, Christoph Sax Data
Analytics)</p></li>
</ul>
<p>See also the <a href="https://statistikzh.github.io/RMeetup/">list of
presentations</a> provided by the <a
href="http://statistik.zh.ch/">Statistical Office of the Canton of
Zurich</a>.</p>
</div>
<div id="september-4-2017" class="section level3">
<h3>September 4, 2017</h3>
<ul>
<li><p><a
href="https://openml.github.io/articles/slides/talk_cenisbs_2017/OpenML_CENISBS.html">Open
machine learning</a> (Heidi Seibold, Epidemiology, Biostatistics and
Prevention Institute, UZH)</p></li>
<li><p><a
href="https://docs.datahouse.ch/2017/RMeetup_September">Dynamic Pricing
- Analyzing rapidly-changing prices</a> (Daniel Meister,
datahouse)</p></li>
<li><p><a
href="https://www.slideshare.net/Zurich_R_User_Group/r-at-sanitas-workflow-problems-and-solutions">R
at Sanitas – Workflow, Problems and Solutions</a> (Patrik Lengacher,
Sanitas)</p></li>
</ul>
</div>
<div id="may-3-2017" class="section level3">
<h3>May 3, 2017</h3>
<ul>
<li><p><a
href="https://www.slideshare.net/Zurich_R_User_Group/visualizing-the-frequency-of-transit-delays-using-qgis-and-the-leaflet-javascript-library-in-r">Visualizing
the frequency of delays using QGIS and the Leaflet javascript library in
R</a> (Peter B. Pearman and Thomas Roth)</p></li>
<li><p><a
href="https://www.slideshare.net/Zurich_R_User_Group/modeling-bus-bunching">Modelling
Bus Bunching</a> (Andrea Farnham)</p></li>
<li><p>How we organized the Hackathon (Heidi Seibold)</p></li>
</ul>
</div>
<div id="april-10-2017" class="section level3">
<h3>April 10, 2017</h3>
<ul>
<li><a href="https://github.com/krlmlr/remake-slides">Slides</a> and <a
href="https://github.com/krlmlr/remake-tutorial">tutorial</a> (Kirill
Müller, ETHZ/datatools GmbH)</li>
</ul>
</div>
<div id="february-6-2017" class="section level3">
<h3>February 6, 2017</h3>
<ul>
<li><p><a
href="https://www.slideshare.net/Zurich_R_User_Group/introduction-to-renjin-the-alternative-engine-for-r">Introduction
to Renjin, the alternative engine for R</a> (Maarten-Jan Kallen,
BeDataDriven)</p></li>
<li><p><a
href="https://github.com/christophM/r-y-u-do-dis/blob/master/presentation.Rmd">R,
y u do dis?</a> (Christoph Molnar)</p></li>
<li><p>Scraping Interactive Graphs with Selenium (Kushtrim Veseli, Swiss
International Air Lines) (<a
href="https://github.com/Zurich-R-User-Group/Zurich-R-User-Group.github.io/blob/master/_files/slides-code/538_polls_all.R">Code</a>)</p></li>
</ul>
</div>
<div id="november-29-2016-how-r-is-used-in-different-professions"
class="section level3">
<h3>November 29, 2016 (How R is used in different professions)</h3>
<ul>
<li><p>Make it simpleR! (Raymond Zychowicz, UBS)</p></li>
<li><p><a
href="http://www.slideshare.net/Zurich_R_User_Group/rinfinancegabrielfoix">R
in Finance: Using R in a productive and highly regulated environment</a>
(Gabriel Foix, Mirai Solutions)</p></li>
<li><p><a
href="http://www.slideshare.net/Zurich_R_User_Group/how-to-use-r-in-different-professions-r-for-car-insurance-product-speaker-claudio-giancaterino">R
for Car Insurance Product</a> (Claudio Giancaterino)</p></li>
<li><p>Using Shiny for worldwide climate monitoring (David Masson,
CelsiusPro)</p></li>
</ul>
</div>
<div id="september-29-2016" class="section level3">
<h3>September 29, 2016</h3>
<ul>
<li><p><a
href="http://htmlpreview.github.io/?https://github.com/Zurich-R-User-Group/Zurich-R-User-Group.github.io/blob/master/_files/slides/nadja-shiny/MeetupPresentation.html#/">Fast
Prototyping in R - a brief Introduction to R Shiny</a> (Nadja Ulrich,
Zühlke) <a
href="https://github.com/naulrich/ZurichRUserMeetup">Code</a></p></li>
<li><p><a
href="http://www.slideshare.net/Zurich_R_User_Group/where-south-america-is-swinging-to-the-right-an-rdriven-data-journalism-project-from-neue-zrcher-zeitung">Clean,
code, analyze and visualize election data in R: An example from
datajournalism</a> (Marie-José Kolly & Marvin Milatz, NZZ)</p></li>
</ul>
</div>
<div id="august-4-2016-visualisation-special" class="section level3">
<h3>August 4, 2016 (Visualisation special)</h3>
<ul>
<li><p><a
href="http://de.slideshare.net/Zurich_R_User_Group/analyzing-the-bhrer-family-data-set-using-an-advanced-mosaic-plot">Analyzing
the Bührer family data set using an advanced mosaic plot.</a> (Thomas
Roth, ZHAW)</p></li>
<li><p><a
href="http://de.slideshare.net/Zurich_R_User_Group/visualization-challenge-mapping-health-during-travel">Mapping
health during travel: a visualization of a trip through Thailand.</a>
(Andrea Farnham, UZH)</p></li>
<li><p><a
href="http://htmlpreview.github.io/?https://raw.githubusercontent.com/Zurich-R-User-Group/Zurich-R-User-Group.github.io/master/_files/slides/matteo-rcharts/index.html">Interactive
Javascript in R with rCharts</a> (Matteo Casserini, Centralway)</p></li>
<li><p><a
href="https://github.com/srfdata/2015-09-elections-political-shifts/blob/master/analysis/main.Rmd">Animation
of political shifts in elections</a> (Timo Grossenbacher, SRF)</p></li>
<li><p><a
href="http://de.slideshare.net/Zurich_R_User_Group/an-interactive-map-with-rshiny-and-leaflet">An
interactive map with R-Shiny and leaflet</a> (Bojan Škerlak,
Migros)</p></li>
<li><p><a
href="http://www.web.statistik.zh.ch/cms_vis/meetup/panachage.html">Federal
election 2015 : visualizing the panachage-statistics</a> (Thomas Lo
Russo, Statistical Office Zurich)</p></li>
<li><p><a
href="https://raw.githubusercontent.com/dimitris1ps/zurichRMeetup/master/meetup.rmd">Crosstalk</a>
(Dimitris Psaradellis, eBay)</p></li>
</ul>
</div>
<div id="may-23-2016" class="section level3">
<h3>May 23, 2016</h3>
<ul>
<li><p><a href="http://chilp.it/e690a33">Microsoft R Server</a> (Marc
Schöni, Microsoft)</p></li>
<li><p><a
href="http://www.slideshare.net/AndrewMarritt/zurich-r-user-group-presentation-may-2016">Automated
reports at OrganizationView</a> (Andrew Marritt,
OrganizationView)</p></li>
</ul>
</div>
<div id="march-16-2016" class="section level3">
<h3>March 16, 2016</h3>
<ul>
<li><p><a href="http://grssnbchr.github.io/zrug-rddj">Data
journalism</a> (Timo Grossenbacher, SRF)</p></li>
<li><p><a
href="http://de.slideshare.net/Opendatazurich/open-data-lt3-r">Open Data
Zurich</a> (Marco Sieber and Fidel Thomet, Open Data Zurich)</p></li>
</ul>
</div>
<div id="january-21-2016" class="section level3">
<h3>January 21, 2016</h3>
<ul>
<li><p><a
href="http://de.slideshare.net/Zurich_R_User_Group/speeding-up-big-data-manipulation-with-datatable-package">Speeding
up (big) data manipulation with the data.table package</a> (Vasily
Tolkachev, Zurich University of Applied Sciences, Institute for Data
Analysis and Process Design)</p></li>
<li><p><a
href="http://de.slideshare.net/Zurich_R_User_Group/zurich-r-user-group-desc-tools">DescTools
- Tools for Descriptive Statistics and Exploratory Data Analysis</a>
(Andri Signorell, Helsana/HWZ)</p></li>
</ul>
</div>
<div id="december-7-2015" class="section level3">
<h3>December 7, 2015</h3>
<ul>
<li><p><a
href="http://de.slideshare.net/Zurich_R_User_Group/december-2015-meetup-shiny-make-your-r-code-interactive-craig-wang">Shiny:
Make Your R Code Interactive</a> (Craig Wang, ETH)</p></li>
<li><p>Exploring knitr (Isaac Gravestock, UZH)</p></li>
<li><p><a
href="https://krlmlr-user15.github.io/presentation/#1">Improving
computational performance with algorithm engineering</a> (Kirill Müller,
ETH)</p></li>
</ul>
</div>
</div>
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