Overview | GISCO ID service API | GISCO Address API | Choosing between APIs and downloads | Defensive use

Introduction | Caching | Downloading data | General copyright | Population grids | Basic example | Thematic maps with giscoR

Introduction | Available data sources and tools | About PXWEB APIs | Installation | Installation issues | Accessing PXWEB from R | Interactive use | Direct use | Creating data queries | Downloading data | PXWEB API v2 tables | Query helpers for PXWEB API v2 | Access data footnotes/comments | Citation | Known issues and troubleshooting | Licensing | Session info

Concept | Questions | Reproducible research tasks | Question Banks | Literature review | Coding tasks

Use standard codelists | Harmonize Labels | Conceptual, Literature and Documentation tasks | Coding tasks

Coordinate reference systems | Area | Subsetting | Subsetting using bounding boxes | Subsetting neigbours | Dissolving polygons (Union) | Centroids, buffers, grids and voronois | Polygon centroids | Buffers | Creating regular grids | Voronoi polygons | Calculating distances

Municipality keys | Spatial data | Municipality borders | Municipality borders with population | Zipcodes | Statistical grid | Population grid | Central localities of municipalities | Custom geofacet grid data

Introduction | Endpoints | Making requests | Services | Requests | Bulk queries | Non-standard parameters | Cleanup

Importing Afrobarometer Files | Working with metadata | Harmonization | Analyzing the harmonized data

Tasks in the harmonization workflow | How we help harmonization

Importing data | Mapping information, harmonizing concepts | Crosswalk table

Harmonize value codes and labels | Scenario 1 | Scenario 2 | Scenario 3 | Base Types & Summary | Combination of harmonized values | Binding surveys together

Create A labelled_spss_survey Vector | Coercion rules and type casting | Arithmetics

Crosswalk Table | Create a crosswalk table | Variable name harmonization | Value numeric code and label harmonization | A reproducible recoding and relabelling | Subsetting | Variable Name Harmonization | Further Steps

Working With a Single Survey | Working With Multiple Surveys

Matrix of Coefficients | Leontief-inverse | Employment cost effects | GVA effects | Employment cost multipliers | GVA multipliers | Output multipliers

Getting and processing Eurostat data | Analytic functions | Input coefficients matrix | Creating the Leontief-matrix and its inverse | Direct effect indicators | Total effects | Input multipliers | Employment indicators and multipliers | Output multipliers | Interindustrial linkage analysis | Backward linkages | Forward linkages | Write results into Excel files

Germany sample files | Direct effects | Creating indicators | Creating technical indicators | Creating income indicators | Multipliers | Income multipliers | Employment multipliers | Output multipliers | Interindustrial linkage analysis | Backward linkages | Forward linkages | Environmental Impacts

Introduction | Structure of input–output tables | Core matrices and notation | Input and output coefficients | Input coefficients (technical coefficients) | Output coefficients | Linkages between industries (inter-industry analysis) | Indicators and multipliers | Direct indicators | Multipliers | Summary of key equations | Validation summary (Eurostat Manual, Beutel 2008) | References

Importing the data | Direct and multiplied effects | Total effects | Validation Summary

Import and Normalisation Workflow | Data Sources | Import Steps | Adjustments to Vocabularies | Versioning

Introduction | Searching as subject | Bulk search | Search phrase examples | Search operators + and !- | + | !- | NB! The !- operator cannot be used in single-word searches. | Fine-tuning your search | Fuzzy search | Proximity search | Advanced search: to see available online | search image | Audio book | Year of manufacture | Search using Geofilter syntax (Geographical region) | geofilter ouside of finland | Narrowing the search | specific search | search without removing duplication | Search Finna with multiple filters

Introduction | Package Overview | Step 1: Listing Available Collections | Step 2: Downloading a Maastotietokanta Collection | Example: Downloading Cemeteries | Example: Spatial Filtering with a Bounding Box | Example: Handling Large Collections | Step 3: Querying Geographic Names | Example: Searching for Place Names | Example: Combining Search and Spatial Filtering | Advanced Features | Pagination | Error Handling | Custom Parameters | Best Practices | Additional Resources | Conclusion

Introduction | Package Overview | Step 1: Retrieving Administrative Area Polygons | Example: Downloading Municipalities | Example: Spatial Filtering with a Bounding Box | Example: Fetching Wellbeing Areas | Step 2: Retrieving Population Data by Administrative Area | Example: Fetching Population Data | Example: Population Data with Bounding Box | Step 3: Retrieving Population Data by Statistical Grid | Example: Fetching 5km Grid Data | Example: 1km Grid with Bounding Box | Advanced Features | Pagination | Error Handling | Coordinate Reference Systems | Bounding Box Filtering | Best Practices | Additional Resources | Conclusion

Introduction | Prerequisites | Obtaining an API Key | Installing the geofi Package | Setting the API Key | Geocoding with geocode() | Example 1: Geocoding a Place Name | Example 2: Geocoding a Street Address | Visualizing Geocoded Results | Advanced Options | Reverse Geocoding with geocode_reverse() | Example 3: Reverse Geocoding a Single Point | Example 4: Returning Raw JSON | Visualizing Reverse Geocoded Results | Tips and Best Practices | Limitations | Further Resources | Conclusion

Municipalities | Population data from Sotkanet | Zipcode level

Datasets | R-packages for static maps | Static maps using ggplot2 | Label overlapping | Faceting | Facetting and combining maps | Aesthetics | Interactive maps

What is this? | Why would you want to read this? | Integration usage | Main goal | Problem description | Tables with multiple geographic levels | S3 methods | Classes | Method dispatch | Custom classes | Denmark_municipality_07 - Municipalities and groups | Verden_dk2 | denmark_cities_19 | denmark_parish_23_4c | denmark_municipalitygroups_24 | Denmark_region_07 | Denmark_rural_07 | denmark_multimember_constituency_23 | denmark_deanary_23 | europe_dk | Verden_dk | Europa_DK3 | Denmark_county | Verden_dk4 | References

What is this? | Why would you want to read this? | Integration usage | Main goal | Problem description | Tables with multiple geographic levels | S3 methods | Classes | Method dispatch | Custom classes | Denmark_municipality_07 - Municipalities and groups | Verden_dk2 | denmark_cities_19 | denmark_parish_23_4c | denmark_municipalitygroups_24 | Denmark_region_07 | Denmark_rural_07 | denmark_multimember_constituency_23 | denmark_deanary_23 | europe_dk | Verden_dk | Europa_DK3 | Denmark_county | Verden_dk4 | References

Installation | Introduction | Personal identification numbers (HETU) | Extracting specific information | Validity checking | Artificial and temporary personal identification numbers | Generating random PINs | Diagnostics | Business Identity Codes (BID) | Generating random BIDs | BID validity checking | Various examples | Licensing and Citations | References | Session info

Introduction | Installation | Usage | Listing availabe indicators | Querying Sotkanet data | Examples | Licensing and Citations | Sotkanet data | Sotkanet R package | Suggestions and bug reports | Session info

Table of contents | Installation | Example: personal identity numbers | Example: organizational identity numbers | Licensing and Citations | References | Session info

Finnish open (government) data toolkit for R | Introduction | Installation | Using the package | Historical mapping and data sets | Licensing and Citations | Session info

helsinki - tutorial | Installation | API Access | Helsinki Region Environmental Services HSY open data | Service and event information | Helsinki region district maps | Helsinki Region Infoshare statistics API | Licensing and Citations | Citing the data | Citing the R package | Session info

Installation

Installation | Examples | Download data and plot numeric indicators | Work with metadata and factor indicators

Basic Usage | Advanced Usage

Introduction | Web flow | Step 1 : Catalog results | Step 2 : Datasets from a particular catalog | search_for_datasets | get_datasets_from_a_catalog

Choropleth Map | Missing Values and Seemingly Missing Values | Recoding and Renaming | Conclusion | Citations and related work | Citing the data sources | Citing the eurostat R package | Citing the regions R package | Contact | Version info

Using a Consistent Typology | Validation | Recoding and re-labelling | Imputation | Disaggregation And Projection | Aggregation And Re-Aggregation | Boundary Changes With No Solution | Time-series | Boundary definitions | Citations and related work | Citing the data sources | Citing the eurostat R package | Citing the regions R package | Contact

Citations and related work | Citing the data sources | Citing the regions R package | Contact

Citations and related work | Citing the data sources | Citing the regions R package | Contact

Setup | Getting started | Getting daily weather observation data | Getting hourly weather observation data

About | API queries and general data retrieval | API data types | General API queries | API URL's | API exploration and user starting point | API terminology | User interaction with the terminology | Cube dimensions: labels and metadata | Dimensions | thlCube object | Dimensions object | Dimension retrieval and parsing | Data retrieval | Backend | User interface

Installation | Examples | Licensing and Citations | Session info

Installing hansard | From CRAN | From GitHub (Development Version) | Load hansard | Using hansard | tidy | tidy_style | verbose | hansard_ prefixes | Example using the commons_divisions() and mp_vote_record() functions | Multiple Parameter Functions | Special functions | The research_briefings() function | The hansard_generic() function