R Viva Insights Cheat Sheet for Activity Aggregation and Privacy
A practical R reference for activity data, time windows, grouped metrics, work-pattern analysis and privacy-aware reporting.
Programming
Frontend, backend, database and software engineering materials.
78 indexed resources
Python Viva Insights Cheat Sheet for Activity and Work-Pattern Analysis
A practical Python reference for activity data preparation, work-pattern metrics, time windows, grouping and privacy-aware reporting.
Python Profiling and Optimization Cheat Sheet
A Python performance reference for benchmarking, sampling, memory, I/O and optimization verification, focused on measurement rather than guesswork.
Python plotnine Visualization Cheat Sheet
A Python plotnine reference for Grammar of Graphics mappings, geometric layers, scales, facets, themes and output.
R Time-Series Cheat Sheet for Trends, Seasonality and Forecast Validation
A practical R time-series reference for time indexes, frequency, trends, seasonality, lag features and rolling validation.
gtsummary Statistical Tables Cheat Sheet
A gtsummary reference for baseline characteristics, group comparisons, regression results, tests, header edits and report output.
gt Table Formatting Cheat Sheet
An R gt reference for table objects, column selection, headers, numeric and date formatting, styles, footnotes and export workflows.
Great Tables Cheat Sheet
A Great Tables reference for turning data frames into publishable tables with titles, grouped headers, numeric formats, footnotes and layout checks.
gganimate Cheat Sheet
An R gganimate reference for time transitions, state changes, enter and exit effects, trails, frame settings and export review.
Shiny Chat Application Cheat Sheet for Conversation State and Model Calls
A practical reference for Shiny Chat messages, session state, model calls, streaming output, tool permissions and logs.
Plumber API Cheat Sheet
A Plumber reference for turning R functions into callable APIs with routes, parameters, filters and structured responses.
Positron IDE Cheat Sheet
A Positron IDE reference for data-science projects, editing, terminals, variable inspection and notebook workflows in R and Python.
Parallel Computation Cheat Sheet
An R parallel-computation reference for processes, threads, task scheduling, futures, parallel mapping, random numbers, serialization and resource limits.
Natural Language Processing with Large Language Models Cheat Sheet
A large-language-model NLP reference for text cleaning, tokenization, prompt design, embeddings, retrieval, generation evaluation and privacy.
Machine Learning Data Preprocessing Cheat Sheet
A machine learning preprocessing reference for missing values, outliers, scaling, encoding, feature selection, data splits and leakage prevention.
Machine Learning Model Building Cheat Sheet
A general machine learning reference for problem definition, feature preparation, model creation, training, validation, metrics and interpretation.
R torch Deep Learning Cheat Sheet for Tensors and Training Loops
A practical R torch reference for tensors, automatic differentiation, modules, training loops, devices and model saving.
Keras Deep Learning Cheat Sheet
A Keras reference for tensors and layers, Sequential and Functional models, compilation, training, callbacks, evaluation, saving and inference.