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Infrastructure and Tools for Teaching Computing Throughout the Statistical Curriculum
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| Pengarang | : | - |
| Nama Majalah/Jurnal | : | The American Statistician |
| Volume / Edisi | : | 72 (No. 1) |
| Halaman | : | 58-65 |
| Abstrak | : | Modern statistics is fundamentally a computational discipline, but too often this fact is not reflected in our statistics curricula. With the rise of big data and data science, it has become increasingly clear that students want, expect, and need explicit training in this area of the discipline. Additionally, recent curricular guidelines clearly state that working with data requires extensive computing skills and that statistics students should be fluent in accessing, manipulating, analyzing, and modeling with professional statistical analysis software. Much has been written in the statistics education literature about pedagogical tools and approaches to provide a practical computational foundation for students. This article discusses the computational infrastructure and toolkit choices to allow for these pedagogical innovations while minimizing frustration and improving adoption for both our students and instructors. Supplementary materials for this article are available online. |
How to Share Data for Collaboration
| Pengarang | : | Shannon E. Ellis |
| Nama Majalah/Jurnal | : | The American Statistician |
| Volume / Edisi | : | 72 (No. 1) |
| Halaman | : | 53-57 |
| Abstrak | : | Within the statistics community, a number of guiding principles for sharing data have emerged; however, these principles are not always made clear to collaborators generating the data. To bridge this divide, we have established a set of guidelines for sharing data. In these, we highlight the need to provide raw data to the statistician, the importance of consistent formatting, and the necessity of including all essential experimental information and pre-processing steps carried out to the statistician. With these guidelines we hope to avoid errors and delays in data analysis. |
How R Helps Airbnb Make the Most of its Data
| Pengarang | : | - |
| Nama Majalah/Jurnal | : | The American Statistician |
| Volume / Edisi | : | 72 (No. 1) |
| Halaman | : | 46-52 |
| Abstrak | : | At Airbnb, R has been among the most popular tools for doing data science work in many different contexts, including generating product insights, interpreting experiments, and building predictive models. Airbnb supports R usage by creating internal R tools and by creating a community of R users. We provide some specific advice for practitioners who wish to incorporate R into their day-to-day workflow. |
Forecasting at Scale
| Pengarang | : | - |
| Nama Majalah/Jurnal | : | The American Statistician |
| Volume / Edisi | : | 72 (No. 1) |
| Halaman | : | 37-45 |
| Abstrak | : | Forecasting is a common data science task that helps organizations with capacity planning, goal setting, and anomaly detection. Despite its importance, there are serious challenges associated with producing reliable and high-quality forecasts—especially when there are a variety of time series and analysts with expertise in time series modeling are relatively rare. To address these challenges, we describe a practical approach to forecasting “at scale” that combines configurable models with analyst-in-the-loop performance analysis. We propose a modular regression model with interpretable parameters that can be intuitively adjusted by analysts with domain knowledge about the time series. We describe performance analyses to compare and evaluate forecasting procedures, and automatically flag forecasts for manual review and adjustment. Tools that help analysts to use their expertise most effectively enable reliable, practical forecasting of business time series. |
Extending R with C++: A Brief Introduction to Rcpp
| Pengarang | : | - |
| Nama Majalah/Jurnal | : | The American Statistician |
| Volume / Edisi | : | 72 (No. 1) |
| Halaman | : | 28-36 |
| Abstrak | : | R has always provided an application programming interface (API) for extensions. Based on the C language, it uses a number of macros and other low-level constructs to exchange data structures between the R process and any dynamically loaded component modules authors added to it. With the introduction of the Rcpp package, and its later refinements, this process has become considerably easier yet also more robust. By now, Rcpp has become the most popular extension mechanism for R. This article introduces Rcpp, and illustrates with several examples how the Rcpp Attributes mechanism in particular eases the transition of objects between R and C++ code. Supplementary materials for this article are available online. |
Excuse Me, Do You Have a Moment to Talk About Version Control?
| Pengarang | : | JENIFFER BRYAN |
| Nama Majalah/Jurnal | : | The American Statistician |
| Volume / Edisi | : | 72 (No. 1) |
| Halaman | : | 20-27 |
| Abstrak | : | Data analysis, statistical research, and teaching statistics have at least one thing in common: these activities all produce many files! There are data files, source code, figures, tables, prepared reports, and much more. Most of these files evolve over the course of a project and often need to be shared with others, for reading or edits, as a project unfolds. Without explicit and structured management, project organization can easily descend into chaos, taking time away from the primary work and reducing the quality of the final product. This unhappy result can be avoided by repurposing tools and workflows from the software development world, namely, distributed version control. This article describes the use of the version control system Git and the hosting site GitHub for statistical and data scientific workflows. Special attention is given to projects that use the statistical language R and, optionally, R Markdown documents. Supplementary materials include an annotated set of links to step-by-step tutorials, real world examples, and other useful learning resources. Supplementary materials for this article are available online. |
Documenting and Evaluating Data Science Contributions in Academic Promotion in Departments of Statistics and Biostatistics
| Pengarang | : | Lance A. Waller |
| Nama Majalah/Jurnal | : | The American Statistician |
| Volume / Edisi | : | 72 (No. 1) |
| Halaman | : | 11-19 |
| Abstrak | : | The dynamic intersection of the field of Data Science with the established academic communities of Statistics and Biostatistics continues to generate lively debate, often with the two fields playing the role of an upstart (but brilliant), tech-savvy prodigy and an established (but brilliant), curmudgeonly expert, respectively. Like any emerging discipline, Data Science brings new perspectives and new tools to address new questions requiring new perspectives on traditionally established concepts. We explore a specific component of this discussion, namely the documentation and evaluation of Data Science-related research, teaching, and service contributions for faculty members seeking promotion and tenure within traditional departments of Statistics and Biostatistics. We focus on three perspectives: the department chair nominating a candidate for promotion, the junior faculty member going up for promotion, and the senior faculty members evaluating the promotion package. We contrast conservative, strategic, and iconoclastic approaches to promotion based on accomplishments in data science. |
Data Organization in Spreadsheets
| Pengarang | : | - |
| Nama Majalah/Jurnal | : | The American Statistician |
| Volume / Edisi | : | 72 (No. 1) |
| Halaman | : | 2-10 |
| Abstrak | : | Spreadsheets are widely used software tools for data entry, storage, analysis, and visualization. Focusing on the data entry and storage aspects, this article offers practical recommendations for organizing spreadsheet data to reduce errors and ease later analyses. The basic principles are: be consistent, write dates like YYYY-MM-DD, do not leave any cells empty, put just one thing in a cell, organize the data as a single rectangle (with subjects as rows and variables as columns, and with a single header row), create a data dictionary, do not include calculations in the raw data files, do not use font color or highlighting as data, choose good names for things, make backups, use data validation to avoid data entry errors, and save the data in plain text files. |
TANTANGAN DAN HARAPAN BANGSA INDONESIA ABAD 21
| Pengarang | : | - |
| Nama Majalah/Jurnal | : | Pranata |
| Volume / Edisi | : | X-2, JANUARI-MARET (No. 0) |
| Halaman | : | 64-70 |
| Abstrak | : | During the twentieth century, the Republic of Indonesia was dominated by the Dutch govcrnment, the Japanese government, and finally by the New Order regime. The practice of injusticc resulted in the country's weaknesses. Thereforei1he effort to achieve a real new life in the' era of democracy faces a lot of challenges such as the realization of the just and fair election to produce the qualified representatives and leaders who understand the people inspiration, freedom of clwice·of religion which people do not understand much, equali of rights and obligation in law which have not yet heen realized. and the violation ,of human rights. The Indonesian people must be able to overcome such prohlems in the twenty first century in order for them to realize a democrationation and country. |
Pilkada dan Collapse State
| Pengarang | : | Sahilan, Gregorius |
| Nama Majalah/Jurnal | : | Analisis CSIS |
| Volume / Edisi | : | 37 (No. 2) |
| Halaman | : | 267 - 287 |
| Abstrak | : | Dari sejumlah daerah yang telah menyelenggarakan pilknda, tidak mudah untuk mengklaster daerah ke dalam kategori collapse state. Akan tetapi pada aspek-aspek yang berhubungan dengan regulasi dan kebijakan, prosedur'dan mekanisme-serta aspekkapasitas lembaga pinyelenggara, untukbeb*apa tempat seperti Maluku Utara dan Sulawesi Selatan, pilkadanya masuk dalam kntelori c-91]aps9 state. Uytuk kasus Maluku lltara, taik menaik kepentingan yang ditimbulknn oleh dualisme hasil perhitungan suara yang dilakuiean olih xptri, kemudian melibatkan KPU Pusat dan Mahknmah Aguig, telah mengarah pada yersgglan yang rumit, karena masing-masing aktor tersebut tidak memiliki lcredibilitas dan integritas dengan jujir berpegang pada regulasi dan kebijaknn yang aila. |