Dtburk/ipumsr-webinar: Presentation for IPUMS webinar on the ipumsr package from 10/12/2021. Tutorials. IPUMS provides easy to understand video tutorials to guide users through using IPUMS sites, creating extracts, and using our online analysis tools.
All Video Tutorials Webinars IPUMS USA Online Tutorials How to create an account to use IPUMSHow to use the Extract SystemHow to use our documentation and variable descriptions. Statistical Tables. History of Statistics. Peter M.
Lee, 24 August 1940 — 10 March 2017 Peter is no longer with us, but his remarkable web pages live on! They are currently maintained by Simon Eveson. Tony Sudbery's obituary notice has also appeared in the Guardian, among other places. Introduction to Probability. Data Science Association. Data Science Association. Causal Analysis in Theory and Practice » Data versus Science: Contesting the Soul of Data-Science.
Playlists. Libros que consultar para comenzar a formarte en el mundo del Big Data. Este es un campo muy complejo, y produce gran rechazo a las personas que tienen un conocimiento escaso de él o escuchan por primera vez la palabra Big Data.
A pesar de su complejidad, no significa que sea algo imposible de entender. Para demostrártelo te vamos a ofrecer aquí una lista de libros a través de los que podrás acceder a la base de las tecnologías emergentes.
El matemático y youtuber que enseña (con comedia) la materia más odiada. Eduardo Sáenz de Cabezón es doctor en matemáticas, pero también es cuentacuentos y hace monólogos de comedia para divulgar la ciencia que más le apasiona.
El investigador de la Universidad de la Rioja (España) –y ahora también youtuber– saltó a la fama gracias a una charla de TED Talk donde hace reír a un auditorio repleto hablando de una de las materias más odiadas en la escuela. “Cuando alguien te pregunta para qué sirven las matemáticas, no te está preguntando por aplicaciones de las ciencias matemáticas. Te está preguntando ‘Y yo por qué tuve que estudiar esa mierda que no volví a usar nunca?” Foundations of Data Science Textbook.
R Stat. STATISTICS. Databases. Coding. Maps and Viz. Bibliography. Examples. Class Material. Lectures: You can obtain all the lecture slides at any point by cloning 2015, and using git pull as the weeks go on.
Videos: You can see the entire list of videos here. Below we list them by class/section along with a link to the slides. We’ve also started a YouTube channel for cs109. This channel has smaller videos dealing with nitty gritty stuff on the course. Labs/Sections: Note that the Lab video and notebook is actually recorded and produced on the Thursday and Friday of the previous week, but is listed under the week that sections pertaining to the material on the Lab are given. OpenIntro. Analysis of Variance (ANOVA) Using Data to Find the Angriest Death Grips Song.
Excel Total - Expertos en Excel. Beware of Zombie Statistics … Even When It’s Not Halloween. (October 2017) Do women really own less than 2 percent of the world’s land?
Do women constitute 70 percent of the world’s poor? Do women provide between 60 percent and 80 percent of the agricultural labor in Africa? Do widely cited statistics like these mean they are backed up with solid research? No, but they are repeated often enough that they have attained the status of official fact. They are referred to as “zombie statistics” because, though they have no basis in fact, they just won’t die. Top 52 Free Statistical Software - Editor Review, User Reviews, Features, Pricing and Comparison in 2017 -Predictive Analytics Today.
687694. Majority to minority: the declining U.S. white population]Quand la majorité devient minorité : le cas des blancs aux Etats-Unis. In this essay we document the demography of the decline of the white population in the United States, a country with a long history of white supremacy.
Despite the fact that the U.S. Constitution and the civil rights legislation of the 1960s guaranteed equality to all people irrespective of race or ethnicity, everyone is far from equal in the United States today. On average, whites are far better off economically and educationally and in many other ways than are minority peoples. Handy statistical lexicon. These are all important methods and concepts related to statistics that are not as well known as they should be.
I hope that by giving them names, we will make the ideas more accessible to people: Mister P: Multilevel regression and poststratification. 40 Techniques Used by Data Scientists. These techniques cover most of what data scientists and related practitioners are using in their daily activities, whether they use solutions offered by a vendor, or whether they design proprietary tools.
When you click on any of the 40 links below, you will find a selection of articles related to the entry in question. Most of these articles are hard to find with a Google search, so in some ways this gives you access to the hidden literature on data science, machine learning, and statistical science. Many of these articles are fundamental to understanding the technique in question, and come with further references and source code. Asdfree. Learn Data Science: Tutorials, Online Courses, Books, & More. Toward sustainable insights, or why polygamy is bad for you. Toward sustainable insights, or why polygamy is bad for you Binning et al., CIDR 2017 Buckle up!
Today we’re going to be talking about statistics, p-values, and the multiple comparisons problem. Summer Olympics: Legends - Microsoft Power BI Community. Las consecuencias de no renovar el censo durante más de una década en Colombia. Free Statistics Book. Big Data, Data Mining, Predictive Analytics, Statistics, StatSoft Electronic Textbook. This free ebook has been provided as a public service since 1995. Statistics: Methods and Applications textbook offers training in the understanding and application of statistics and data mining. It covers a wide variety of applications, including laboratory research (biomedical, agricultural, etc.), business statistics, credit scoring, forecasting, social science statistics and survey research, data mining, engineering and quality control applications, and many others.
Mathematicians mapped out every “Game of Thrones” relationship to find the main character — Quartz. Fans of the Game of Thrones books and TV series have long quarreled over who the true hero of the story is. Daenerys? Tyrion? Jon Snow? Hodor? Every time a character seems to be developing into a protagonist, he or she is brutally killed (video). Math 101: A reading list for lifelong learners. Ready to level up your working knowledge of math? Here’s what to read now — and next. Math 101, with Jennifer Ouellette First, start with these 5 books… 1.
Number: The Language of Science Tobias Dantzig Plume, 2007. A Lesson in the Errors of Statistical Thinking: Nate Silver on Trump. Alyssa frazee. Thu 02 January 2014 | -- (permalink) My sister is a senior undergraduate majoring in sociology. She just landed an awesome analyst job for next semester and was told she'll be using some R in the course of her work. She asked me to show her the ropes during winter vacation, and of course I said yes! What better way to while away the days of a Minnesota winter?! [1505.04714] Alan M. Turing: The Applications of Probability to Cryptography. Photomath. Mathpix! Introduction to Metadata. Metadata is organised information that describes, locates or otherwise makes it easier to retrieve information.
Metadata is all around us, it started as catalogue cards in libraries and is now used mainly in a digital manner. Metadata is everywhere, every webpage, every file, picture, piece of software has metadata that describes what it is, when was it created, what size it is, generally everything you or a computer needs to know to efficiently find information. There are two main types of metadata, descriptive and structural. Top 50 Free Statistical Software. How I Acted Like A Pundit And Screwed Up On Donald Trump. Since Donald Trump effectively wrapped up the Republican nomination this month, I’ve seen a lot of critical self-assessments from empirically minded journalists — FiveThirtyEight included, twice over — about what they got wrong on Trump. This instinct to be accountable for one’s predictions is good since the conceit of “data journalism,” at least as I see it, is to apply the scientific method to the news.
That means observing the world, formulating hypotheses about it, and making those hypotheses falsifiable. Best Data Science Online Courses. The number of online data science courses have exploded in recent years and there courses for any needs. Here is a extensive list of free and paid courses from Coursera, DataCamp, Dataquest, edX, Udacity, Udemy, and other major providers.
Dr. Wolfgang Rolke Home Page. Database System Rankings 2016. Introduction to Data Quality. How many times have you heard managers and colleagues complain about the quality of the data in a particular report, system or database? Data Science - Part II - Working with R & R Studio. The Season for Sharing Data: Working with the newly released Census 2010-2014 ACS 5 year data in R. On December 3, 2015 the U.S. 20 Big Data Repositories You Should Check Out.
Coursera-Data Toolbox. Weka 3 - Data Mining with Open Source Machine Learning Software in Java. Mass Shooting Tracker. RepASA. Deducer: A GUI for R - Deducer Manual. LeaRning Path on R - Step by Step Guide to Learn Data Science on R. AFAMaC-Matemáticas. Gun Violence Archive. HyperStat Online: An Introductory Statistics Textbook and Discussion of whether most published research is false. Recommend HyperStat to your friends on Facebook. Griffith Feeney Consulting. Introduction to Data Science with R - O’Reilly Media. Jtleek/datasharing. DARPA - Open Catalog. StatsLife - Significance back issues. Spurious Correlations. ISLP — Poster Competition 2014-2015. National Statistical Service § Sample Size Calculator. Tiimgreen/github-cheat-sheet. Computing for Social Sciences, Winter 2015.