Heike Hofmann

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Heike Hofmann
Born (1972-04-16) 16 April 1972 (age 51)
NationalityGerman
Alma mater University of Augsburg (MSc, PhD)
Known for interactive data visualization
ggobi
Awards Fellow of the American Statistical Association (2014) [1]
Scientific career
Fields Statistical graphics
Exploratory Data Analysis
Visual inference
Visualization of Large Data
Statistical computing [2]
Institutions Iowa State University
Thesis Graphical Tools for the Exploration of Multivariate Categorical Data  (2000)
Doctoral advisor Antony Unwin [3]
Doctoral students Hadley Wickham [4]
Yihui Xie [3] [5]
Website www.stat.iastate.edu/people/heike-hofmann

Heike Hofmann (born 16 April 1972) is a statistician and Professor in the Department of Statistics at Iowa State University. [2] [6] [7]

Contents

Education

She earned an MSc in Mathematics, with a minor in Computer Science, and a PhD in Statistics, from the University of Augsburg, Augsburg, Germany in 1998 and 2000, respectively. [3]

Career and research

Hofmann's research interests are in statistical graphics, exploratory data analysis, visual inference, visualization of large data and statistical computing [2] [8] [9] She is currently[ when? ] Professor in the Department of Statistics at Iowa State University, [10] and faculty member of the Bioinformatics and Computational Biology and Human Computer Interaction programs.

In her research on interactive data visualization she has provided new approaches for plotting multivariate categorical data using mosaic plots, and making interactions with these plots, and linking between plots. She was the primary development of the software MANET and contributed to the development of the software GGobi. More recent software include the R packages x3prplus, geomnet, nullabor, gglogo, peptider, discreteRV, ggboxplots, ggparallel, dbData, HLMdiag, lvboxplots, MergeGUI, MissingDataGUI. Her work on examining the inflow of corporate cash into the 2012 US presidential election can be read in Chance magazine. [11]

Heike Hofmann is the author of more than 50 journal articles, conference proceedings, book chapters and edited one book. She is a Fellow of the American Statistical Association. She has supervised or co-supervised 8 doctoral theses, [3] including Hadley Wickham [4] and Yihui Xie. [5]

Honors and awards

She was elected a Fellow of the American Statistical Association in 2014. [1]

Related Research Articles

<span class="mw-page-title-main">Exploratory data analysis</span> Approach of analyzing data sets in statistics

In statistics, exploratory data analysis (EDA) is an approach of analyzing data sets to summarize their main characteristics, often using statistical graphics and other data visualization methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling and thereby contrasts traditional hypothesis testing. Exploratory data analysis has been promoted by John Tukey since 1970 to encourage statisticians to explore the data, and possibly formulate hypotheses that could lead to new data collection and experiments. EDA is different from initial data analysis (IDA), which focuses more narrowly on checking assumptions required for model fitting and hypothesis testing, and handling missing values and making transformations of variables as needed. EDA encompasses IDA.

GGobi is a free statistical software tool for interactive data visualization. GGobi allows extensive exploration of the data with Interactive dynamic graphics. It is also a tool for looking at multivariate data. R can be used in sync with GGobi. The GGobi software can be embedded as a library in other programs and program packages using an application programming interface (API) or as an add-on to existing languages and scripting environments, e.g., with the R command line or from a Perl or Python scripts. GGobi prides itself on its ability to link multiple graphs together.

<span class="mw-page-title-main">Michael Friendly</span>

Michael Louis Friendly is an American-Canadian psychologist, Professor of Psychology at York University in Ontario, Canada, and director of its Statistical Consulting Service, especially known for his contributions to graphical methods for categorical and multivariate data, and on the history of data and information visualisation.

<span class="mw-page-title-main">Ross Ihaka</span> New Zealand statistician

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<span class="mw-page-title-main">Leland Wilkinson</span> American statistician and computer scientist (1944–2021)

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ggplot2 Data visualization package for R

ggplot2 is an open-source data visualization package for the statistical programming language R. Created by Hadley Wickham in 2005, ggplot2 is an implementation of Leland Wilkinson's Grammar of Graphics—a general scheme for data visualization which breaks up graphs into semantic components such as scales and layers. ggplot2 can serve as a replacement for the base graphics in R and contains a number of defaults for web and print display of common scales. Since 2005, ggplot2 has grown in use to become one of the most popular R packages.

<span class="mw-page-title-main">Hadley Wickham</span> New Zealand statistician

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Yihui Xie is a Chinese statistician, data scientist and software engineer who formerly worked for RStudio. He is the principal author of the open-source software package Knitr for data analysis in the R programming language, and has also written the book Dynamic Documents with R and knitr.

Dianne Helen Cook is an Australian statistician, the editor of the Journal of Computational and Graphical Statistics, and an expert on the visualization of high-dimensional data. She is Professor of Business Analytics in the Department of Econometrics and Business Statistics at Monash University and professor emeritus of statistics at Iowa State University. The emeritus status was chosen so that she could continue to supervise graduate students at Iowa State after moving to Australia.

Nell Sedransk is an American statistician who directed the National Institute of Statistical Sciences (NISS). She continues to work at NISS, and is a research professor of statistics at North Carolina State University. Her research interests include Bayesian inference and experimental design for complex experiments, and includes participation in a study of reading comprehension.

Carol Anne Gotway Crawford is an American mathematical statistician and from 2018 to 2020 served as Chief Statistician of the U.S. Government Accountability Office (GAO). She joined the GAO in May 2017. From August 2014 to April 2017, she was with the Department of Agriculture's National Agricultural Statistics Service. She was formerly at the National Center for Environmental Health of the Centers for Disease Control and Prevention. She also holds an adjunct faculty position at the Rollins School of Public Health of Emory University, and is an expert in biostatistics, spatial analysis, environmental statistics, and the statistics of public health. She also maintains an interest in geoscience and has held executive roles in the International Association for Mathematical Geosciences.

Jennifer "Jenny" Bryan is a data scientist and an associate professor of statistics at the University of British Columbia where she developed the Master in Data Science Program. She is a statistician and software engineer at RStudio from Vancouver, Canada and is known for creating open source tools which connect R to Google Sheets and Google Drive.

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Andreas Buja is a Swiss statistician and professor of statistics. He is the Liem Sioe Liong/First Pacific Company professor in the Statistics department of The Wharton School at the University of Pennsylvania in Philadelphia, United States. Buja joined Center for Computational Mathematics (CCM) as a Senior Research Scientist in January 2020.

Antony Richard Unwin is an academic statistician and software developer. He is known for his work on interactive statistical graphics and the development of exploratory statistical software for large data sets using the programming language R.

Nathaniel Dean was an African-American mathematician and educator who made contributions to abstract and algorithmic graph theory, as well as data visualization and parallel computing.

Theresa Lynn Windus is an American chemist who is a distinguished professor at Iowa State University and the Ames Laboratory. Her research involves the development and use of high performance computational chemistry methods to tackle environmental challenges, including the development of new catalysts and renewable energy sources. She was elected a Fellow of the American Chemical Society in 2020.

References

  1. 1 2 "ASA Fellows List". Archived from the original on 25 April 2019. Retrieved 2 November 2016.
  2. 1 2 3 Heike Hofmann publications indexed by Google Scholar OOjs UI icon edit-ltr-progressive.svg
  3. 1 2 3 4 Heike Hofmann at the Mathematics Genealogy Project OOjs UI icon edit-ltr-progressive.svg
  4. 1 2 Wickham, Hadley Alexander (2008). Practical tools for exploring data and models. iastate.edu (PhD thesis). Iowa State University. doi: 10.31274/rtd-180813-16852 . OCLC   247410260. ProQuest   194000416.
  5. 1 2 Xie, Yihui (2013). Dynamic Graphics and Reporting for Statistics. iastate.edu (PhD thesis). Iowa State University. doi: 10.31274/etd-180810-3256 . OCLC   880379367. ProQuest   1500559149.
  6. "Heike Hofmann".
  7. Visiphilia: The love of plotting data (shared blog with Dianne Cook)
  8. Hofmann, Heike; Siebes, Arno P. J. M.; Wilhelm, Adalbert F. X. (2000). "Visualizing association rules with interactive mosaic plots". Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '00. pp. 227–235. doi:10.1145/347090.347133. ISBN   1581132336. S2CID   1158773.
  9. Buja, Andreas; Swayne, Deborah F; Littman, Michael L; Dean, Nathaniel; Hofmann, Heike; Chen, Lisha (2008). "Data Visualization With Multidimensional Scaling". Journal of Computational and Graphical Statistics. 17 (2): 444–472. doi:10.1198/106186008X318440. ISSN   1061-8600. S2CID   10675294.
  10. "Department of Statistics web site". Iowa State University. Retrieved 2 November 2016.
  11. "Can You Buy a President? Politics After the Tillman Act". American Statistical Association. Retrieved 2 November 2016.