addALD4matching | Prepare dataset for matching |
addLBK4matching | Extract necessary data from loanbook and format it |
analyze.ClientCompanyData | Analyze Portfolio Mix |
analyze.CorporateEconomy | Analyze corporate economy |
analyze.MatchedClientsMixInclMaturity | Analyze Matched Clients Mix including Maturity |
analyze.meta.LoanbookMatches | Meta-analysis on Loanbook matches |
analyze.PortfolioCO2Intensity | Analyze CO2 Intensity |
analyze.PortfolioMix | Analyze Portfolio Mix |
analyze.PortfolioMixTrajectory | Analyze Portfolio Mix Trajectory |
analyze.TechnologyMix | Analyze Technology Mix |
analyze.TPED | Demand Analysis |
check.ds_cols | Check completeness of dataset attributes |
closestMatches | Find cloasest matches |
convert.naics2sc | convert NAICS -> Sector Classification |
cross_join | Make cartesian product of two tables |
data.benchmark.regions | Benchmark regions |
data.country.iso.codes | Country names and ISO codes |
data.dataset.req.attrs | Required Dataset columns |
data.dataset.req.files | Required data files |
data.index.regions | Index regions |
data.naics2sc.rules | NAICS -> Sector Subclassification |
data.name.reductions | Name reduction rules |
data.ownership.types | Company ownership types |
data.sector.classification | Sector Classification list |
data.technology | Technology list |
data.test.loanbook | Test loanbook |
dup.test | Test vector for duplicates |
empty.ALD4mathcing | Empty asset-level data frame for mathcing |
empty.LBK4mathcing | Empty loanbook data frame for mathcing |
empty.ManualMatches4matching | Empty manual matches data frame |
empty.SectorMaster | Empty Sector master data frame |
get.ds_file_count | Number of files for each dataset from requirements |
get.ds_file_names | List of files for each dataset from requirements |
get.ds_missing_cols | Find list of missing columns |
io.countFiles | Count files in folder |
io.export.csv | Data export |
io.file.read | read input and return to caller (generic method to read from... |
io.file.write | write output (generic method to write into KV store) |
io.getMissingFileAttr | Get list of missing attributes of files |
io.getPath | Get folder name |
io.import.csv | Data import |
io.load | Load data object from dump |
io.save | Save data object from dump |
is_empty | Check if value is empty |
is_null | Replace empty value with alternative |
matchNames | Find similar names in dictionary |
matchNamesByBlocks | Match names using blocking |
match.score.perfect | Perfect match score |
match.score.threshold | Match threshold |
pacta-package | pacta: Paris Agreement Capital Transition Assessment |
pickBestMatches | Pick best matches |
pipe | Pipe operator |
process.flagNonPerfectMatches | Extract non-perfect matches |
process.flagPerfectMatches | Flag perfect matches |
process.matchLBKandALD | Match loanbook and asset-level data |
process.mergeMatches2LBK | Merge matching results into Loanbook |
process.prepALD4match | Prepare ALD data for matching |
process.prepLBK4match | Prepare loanbook data for matching |
proc.prepareAllLists4analysis | Prepare sets of values for Analysis purposes. |
proc.prepareIEATargets4analysis | Prepare International Energy Agency data for analysis |
proc.prepareLoanbook4analysis | Take matched loanbook and prepare dataset for analysis... |
proc.prepareSectorMaster | Prepare SectorsMaster dataset from specific sector datasets |
proc.prepareSectorMaster4analysis | Prepare Asset Level Data for analysis |
ratio_to_report | Calculate weight of value in vector: x / sum(x) |
simplifyName | Simplify customer name |
stringSim | String similarity |
susbtitute.string | Substitute parts of string |
tidyeval | Tidy eval helpers |
trim | Trim whitespaces |
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