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1. Exploratory Data Analysis (EDA)

Everyday

{tidyverse}: Easily Install and Load the 'Tidyverse'

{lubridate}: Make Dealing with Dates a Little Easier

{stringr}: Simple, Consistent Wrappers for Common String Operations

{janitor}: Simple Tools for Examining and Cleaning Dirty Data

{data.table}: Extension of 'data.frame'

{tidylog}: Logging for 'dplyr' and 'tidyr' Functions

{pointblank}: Data Validation and Organization of Metadata for Local and Remote Tables

{openxlsx}: Read, Write and Edit xlsx Files

{fcuk}: The Ultimate Helper for Clumsy Fingers

{dataCompareR}: Compare Two Data Frames and Summarise the Difference

{httr}: Tools for Working with URLs and HTTP

{textclean}: Text Cleaning Tools

{annotater}: Annotate Package Load Call.

Sometimes

{NbClust}: Determining the Best Number of Clusters in a Data Set

{geodist}: Fast, Dependency-Free Geodesic Distance Calculations

{report}: Automated Reporting of Results and Statistical Models

{numbersBR}: Validate, Compare and Format Identification Numbers from Brazil

{writexl}: Export Data Frames to Excel 'xlsx' Format

{knitr}: A General-Purpose Package for Dynamic Report Generation in R

{tictoc}: Deal with 1B + rows

2. DataViz

Everyday

{gganimate}: A Grammar of Animated Graphics

{cartogram}: Create Cartograms with R

{reactablefmtr}: Streamlined Table Styling and Formatting for Reactable
Like this:

{gt}: Easily Create Presentation-Ready Display Tables

{biscale}: Tools and Palettes for Bivariate Thematic Mapping

{geogrid}: Turn Geospatial Polygons into Regular or Hexagonal Grids
Like this:

{ggchicklet}: Create Chicklet (Rounded Segmented Column) Charts
Like this:

{ggfittext}: Fit Text Inside a Box in 'ggplot2'

{ggdensity}: Interpretable Bivariate Density Visualization with 'ggplot2'

{ggimage}: Use Image in 'ggplot2'

{ggridges}: Ridgeline Plots in 'ggplot2'
Like this:

{ggmap}: Spatial Visualization with ggplot2

{ggtext}: Improved Text Rendering Support for 'ggplot2'

{WeightedTreemaps}: Generate and Plot Voronoi or Sunburst Treemaps from Hierarchical Data
Like this:

{ggplotify}: Convert Plot to 'grob' or 'ggplot' Object

{scales}: Scale Functions for Visualization

{ungeviz}: An R Package for Generating Modular Plots with 'ggplot2’:

Sometimes

{geomtextpath}: Curved Text in 'ggplot2’

{gghighlight}: Highlight Lines and Points in 'ggplot2’
Like this:

{rayshader}: Create Maps and Visualize Data in 2D and 3D

{ggbump}: Bump Chart and Sigmoid Curves
Like this:

{ggVennDiagram}: A 'ggplot2' Implement of Venn Diagram

{ggvis}: Interactive Grammar of Graphics

{highcharter}: A Wrapper for the 'Highcharts' Library

{lattice}: Trellis Graphics for R

{cartogramR}: Continuous Cartogram

{gtExtra}: Extending 'gt' for Beautiful HTML Tables

{DTA}: Wrapper of the JavaScript Library 'DataTables'

{reactableInteractive}: Data Tables Based on 'React Table'

{roughsf}: Visualize Spatial Data using 'roughjs'

{scattermore}: Scatterplots with More Points

{rasterpic}: Create a Spatial Raster from Plain Images

{ggrastr}: Rasterize Layers for 'ggplot2'

{geofacet}: 'ggplot2' Faceting Utilities for Geographical Data
Like this:

{ggh4x}: Hacks for 'ggplot2'

{apyramid}: Visualize Population Pyramids Aggregated by Age

{bdscale}: Remove Weekends and Holidays from ggplot2 Axes

{calendR}: Ready to Print Monthly and Yearly Calendars Made with 'ggplot2'

{cowplot}: Streamlined Plot Theme and Plot Annotations for 'ggplot2'

{geoviz}: Elevation and GPS Data Visualisation

{ggalluvial}: Alluvial Plots in 'ggplot2'
Like this:

{ggcorrplot}: Visualization of a Correlation Matrix using 'ggplot2'

{ggfortify}: Data Visualization Tools for Statistical Analysis Results

{ggfun}: Miscellaneous Functions for 'ggplot2'

{gggibbous}: Moon Charts, a Pie Chart Alternative

{ggHoriPlot}: Horizon Plots for 'ggplot2'

{gglm}: Grammar of Graphics for Linear Model Diagnostic Plots

{gglorenz}: Plotting Lorenz Curve with the Blessing of 'ggplot2'

{ggnormalviolin}: A 'ggplot2' Extension to Make Normal Violin Plots
Like this:

{ggbeeswarm}: A ‘ggplot2’ Extension to Make Beeswarm plots (aka column scatter plots or violin scatter plots)

{ggnetwork}: Geometries to Plot Networks with 'ggplot2'

{ggnewscale}: Multiple Fill and Colour Scales in 'ggplot2'

{ggpage}: Creates Page Layout Visualizations

{ggpattern}: 'ggplot2' Pattern Geoms

{ggpointdensity}: A Cross Between a 2D Density Plot and a Scatter Plot
Like this:

{ggpointless}: A Small Collection of Geometries, and Stats for 'ggplot2'

{ggside}: Side Grammar Graphics

{ggTimeSeries}: Time Series Visualisations Using the Grammar of Graphics

{ggtrace}: Trace and Highlight Groups of Data Points
Like this:

{plot3Drgl}: Plotting Multi-Dimensional Data - Using 'rgl'

{ggpattern}: provides ggplot2 helms which support filled areas with geometric and image-based patterns.

{ggiraph}: tool that allows you to create dynamic ggplot graphs.

3. Ecomometrics

{PerformanceAnalytics}: Econometric Tools for Performance and Risk Analysis

{zoo}: S3 Infrastructure for Regular and Irregular Time Series (Z's Ordered Observations)

{AER}: Applied Econometrics with R

{ivreg}: Instrumental-Variables Regression by '2SLS', '2SM', or '2SMM', with Diagnostics

{pder}: Panel Data Econometrics with R

{broom}: summarizes key information about models in tidy tibble()s

{plm}: deal with panel data

{gtsummary}: beautifuly present regression results

4. APIs

Brazil

{geobr}: Download Official Spatial Data Sets of Brazil

{brpop}: Brazilian Population Estimatives

{GetBCBData}: Imports Datasets from BCB (Central Bank of Brazil) using Its Official AP

{covid19br}: Brazilian COVID-19 Pandemic Data

{rsiconfi}: API for Brazilian fiscal data

{brazilianbanks}: Download publicly-available data on Brazilian banks

{GetDFPData}: Reading Annual Financial Reports from Bovespa's DFP, FRE and FCA System

{GetTDData}: Get Data for Brazilian Bonds (Tesouro Direto)

{GetLattesData}: Reading Bibliometric Data from Lattes Platform

{BrazilMet}: Download and Processing of Automatic Weather Stations (AWS) Data of INMET-Brazil

{cropDemand}: Spatial Crop Water Demand for Brazil

{febr}: Data Repository of the Brazilian Soil

{flightsbr}: Download Flight and Airport Data from Brazil

{electionsBR}: R Functions to Download and Clean Brazilian Electoral Data

{owdbr}: Open Welfare Data Brazil

{microdatasus}: Download Brazilian National Health System (SUS) Data

Global

{owidR}: Import Data from Our World in Data

{WDI}: World Development Indicators and Other World Bank Data

{tidycensus}: Load US Census Boundary and Attribute Data as 'tidyverse' and 'sf'-Ready Data Frames

{bea.R}: Bureau of Economic Analysis API

{usdata}: Data on the States and Counties of the United States

{albersusa}: Tools, Shapefiles & Data to Work with an ‘AlbersUSA’ Composite Projection

{usmap}: US Maps Including Alaska and Hawaii

{getpublist}: Obtain a List of Publications from 'PubMed' and 'Google Scholar'

{openSkies}: Retrieval, Analysis and Visualization of Air Traffic Data

{elections}: USA Presidential Elections Data

{whereport}: Geolocalization of IATA Codes

{wpp2019}: World Population Prospects 2019

{yahoofinancer}: Fetch Data from Yahoo Finance API

{acdcR}: Agro-Climatic Data by County

{quantmod}: Quantitative Financial Modelling Framework

{googleAnalyticsR}: Google Analytics API into R

{inegiR}: Integrate INEGI’s (Mexican Stats Office) API with R

{rstatscn}: R Interface for China National Data

{crypto2}: Download Crypto Currency Data from 'CoinMarketCap' without 'API'

{eia}: API Wrapper for 'US Energy Information Administration' Open Data

{eurodata}: Fast and Easy Eurostat Data Import and Search

{FAOSTAT}: Download Data from the FAOSTAT Database

{pwt10}: Penn World Table (Version 10.x)

{pipr}: Compute poverty and inequality indicators for more than 160 countries and regions from the World Bank’s database of household surveys

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