Статистическое сравнение страниц: различия между версиями
Материал из Поле цифровой дидактики
Patarakin (обсуждение | вклад) Нет описания правки |
Patarakin (обсуждение | вклад) |
||
| Строка 5: | Строка 5: | ||
* [[A new kind of science]] | * [[A new kind of science]] | ||
{{#ask: [[Категория:Book]] | format=ol }} | |||
=== Что используем === | === Что используем === | ||
Версия от 11:17, 19 мая 2026
Что сравниваем
Страницы из категории Категория:Book
- 20 things to do
- A new kind of science
- APIs for social scientists: A collaborative review
- Agent-Based and Individual-Based Modeling: A Practical Introduction
- An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo
- App Inventor 2 (book)
- As We May Think
- Awash in Data
- Big Data with R
- Blown to Bits
- Causal Inference in R
- Causal Inference: The Mixtape
- Children Learning to Code
- Communities of Practice
- Computer Science Logo Style
- Computer Science with Snap! by Examples
- Diligence, Patience, and Humility
- Growing Artificial Societies: Social Science From the Bottom Up (Complex Adaptive Systems)
- Head First. Паттерны проектирования
- How to Design Programs
- Individual-Based Models of Cultural Evolution: A Step-by-Step Guide Using R
- Initiation to Algorithmics with Scratch
- Interactive web-based data visualization with R, plotly, and shiny
- Introduction to Econometrics with R
- Introductory Statistics for Economics
- Inventive Minds: Marvin Minsky on Education
- Learn ggplot2 using Shiny App
- Learn2love
- Learning analytics methods and tutorials: A practical guide using R
- Literacy and Education
- Mastering Shiny: Build Interactive Apps, Reports, and Dashboards Powered by R
- Mastering Spark with R
- Mindstorms
- Modeling Social Behavior: Mathematical and Agent-Based Models of Social Dynamics and Cultural Evolution
- On memory
- Open Sources: Voices from the Open Source Revolution
- Outstanding User Interfaces with Shiny
- Perceptrons: an introduction to computational geometry
- R for Data Science
- Simply Scheme: Introducing Computer Science
- Sorting Things Out
- Structure and Interpretation of Computer Programs
- Text Mining with R
- Text Mining with R: A Tidy Approach
- The ABCs of How We Learn
- The Design of Everyday Things
- The Media Equation: How People Treat Computers, Television, and New Media Like Real People and Places
- The Wiki Way: Quick Collaboration on the Web
- The model thinker: What you need to know to make data work for you
- Thinking Like a Tree
Что используем
- Mindstorms
- 1200
- 20 things to do
- 1393
- 211
| Показатель | Значение |
|---|---|
| Количество (N) | 3 |
| Среднее | 934.67 |
| Медиана | 1200.00 |
| Дисперсия | 402082.33 |
| Стандартное отклонение | 634.10 |
| Минимум | 211.00 |
| Максимум | 1393.00 |
