Input and Supply Chain Analysis Model (#309).transition_risk_profile() incorporates the following changes:transition_risk_profile() incorporates the following changes:co2_footprint on product level and co2e_avg on company level
for the webtool output (#308).transition_risk_profile() outputs columns cov_transition_risk,
cov_emission_profile, and cov_sector_target at company level (#303).Product and company level columns from transition_risk_profile() are renamed.
transition_risk_profile() gets for_webtool parameter to provide the choice
of creating webtool data (#302).
transition_risk_profile() outputs column transition_risk_NA_share at
product and company level (#300).
transition_risk_profile() outputs column transition_risk_NA_total at
product level (#300).
transition_risk_profile() and profile_emissions() outputs column
amount_of_distinct_products_matched at product level (#299).transition_risk_profile() outputs columns avg_reduction_targets_best_case
and avg_reduction_targets_worst_case at company level (#297).transition_risk_profile() outputs columns isic_4digit, matching_certainty,
company_name, and emissions_profile_equal_weight at product level (#294).
transition_risk_profile() outputs column company_name at company level (#294).
transition_risk_profile() outputs columns avg_profile_ranking_best_case
and avg_profile_ranking_worst_case at company level (#293).transition_risk_profile() outputs columns co2_footprint at product level
and co2_avg at company level if option *.output_co2_footprint is set to
TRUE (#288).transition_risk_profile() outputs columns postcode, address,
min_headcount, and max_headcount at product and company level (#281).
transition_risk_profile() outputs renamed columns at product level (#281):
best_case -> emissions_profile_best_caseworst_case -> emissions_profile_worst_casebest_case -> transition_risk_profile_best_caseworst_case -> transition_risk_profile_worst_casetransition_risk_profile() can convert columns transition_risk_category
and sector_profile in wide format at company level (#278).transition_risk_score is limited between 0 and 1 (#274).transition_risk_profile() outputs columns transition_risk_category_share
and transition_risk_category at company level (#266).transition_risk_profile() now outputs columns best_case,
worst_case, amount_of_distinct_products, and equal_weight (#264).transition_risk_profile() indicator at product and company
level (#260).profile_emission*() now outputs columns best_case,
worst_case, amount_of_distinct_products, and equal_weight (#243).co2e_lower and co2e_upper are now calculated using correct
grouping (#214).profile_emission*() no longer informs percent noise (#239). This was a
developer facing feature that caused more trouble than benefits. Also there are
better, simpler ways to achieve the same.profile_emissions*() at company level no longer outputs the columns
co2e_lower and co2e_upper (#231). Also, the company level output no longer
includes the licensed min and max columns. If necessary, the min and max
columns can still be demanded a product level.toy_profile_emissions_impl_output(), makes tests easier
to write and faster to run (#228).profile_impl from top-level functions (#227). This helps to discover
the developer-oriented composable friends.?composable_friends is now removed (#225). Instead you may
see ?profile_impl and follow linked topics.profile_*() no longer refers to columns that
don't exist (#221).profile_*() now yield objects of S3
class 'tilt_profile' (#219). This allows
creating generics with specialized methods.profile_*impl() (#222). This initiates an alternative
developer-oriented API documented at ?composable_friends.profile_emissions() and profile_emissions_upstream() now inform a meaningful
percent noise (#212). This fixes a bug where the message reported a noise of
"NA%".score_transition_risk_and_polish() wraps and generalizes the
latest script used to format outputs before delivery (#205).exclude_cols_then_pivot_wider() gains avoid_list_cols (#206). This is a
coarse, catch-all alternative to the finer grained control you get via the
id_cols of tidyr::pivot_wider(). While it's generally best to specify the
id_cols you care about, it's hard to anticipate what columns the real data might
have, and some of them may introduce list-columns, duplicates, and trigger a
warning. This new argument avoids all of that.exclude_cols_then_pivot_wider() (#203). This is a
developer-oriented function to exclude irrelevant columns and duplicates from a
dataset, then pivot it to a wide format.BREAKING CHANGE
benchmark_tr_score_avg replaces benchmark_tr_score in the output
at company level of score_transition_risk() (@kalashsinghal #199).profile_emissions() now preserves missing benchmarks (#196).profile_emissions() now preserves unmatched products (#193).profile_emissions() can now optionally output the column
co2_avg (@AnneSchoenauer #186). This is the mean of the co2_footprint for
each company. This control is via internal options (see
?tiltIndicatorAfter_options).profile_emissions() can now optionally output the licensed
column co2_footprint (#184). This control is via internal options (see
?tiltIndicatorAfter_options).profile_emissions() and profile_emissions_upstream() now inform the amount
of noise added on average to the co2* columns. They now also allow controlling
the amount of noise, and demanding the licensed min and max columns that are
required to examine such noise before delivering data (#163). This control is
via internal options (see ?tiltIndicatorAfter_options).NEW FUNCTIONS
score_transition_risk() (@kalashsinghal #152).NEW COLUMNS
profile_ranking_avg and reduction_targets_avg in the output at
company level of profile_emissions*() and profile_sector*(), respectively
(@kalashsinghal #164).co2e_lower and co2e_upper in the output of profile_emissions()
and profile_emissions_upstream() -- both at product and company levels. This
columns include some noise that protects the privacy of the licensed CO2 values
(@kalashsinghal #155).ei_geography in the output of profile_emissions() and profile_sector()
at product level (@kalashsinghal #148).ei_geography and ei_input_geography in the output of
profile_emissions_upstream() and profile_sector_upstream() at product
level (@kalashsinghal #148).extra_rowid was removed from all output files (@kalashsinghal #141).Renamed Exported Internal Functions (@kalashsinghal #157)
prepare_pctr_product -> polish_emissions_profile_productprepare_pctr_company -> polish_emissions_profile_companyprepare_ictr_product -> polish_emissions_profile_upstream_productprepare_ictr_company -> polish_emissions_profile_upstream_companyprepare_pstr_product -> polish_sector_profile_productprepare_pstr_company -> polish_sector_profile_companyprepare_istr_product -> polish_sector_profile_upstream_productprepare_istr_company -> polish_sector_profile_upstream_companyThe sample input and output datasets are retired for these functions after we
use toy data from tiltToyData. The un-exported functions and variables which
are used in above exported functions are also renamed by using this new
nomenclature (@kalashsinghal #157):
pctr -> emissions_profileictr -> emissions_profile_upstreampstr -> sector_profileistr -> sector_profile_upstreamRetired datasets that have been deprecated for 8 weeks or more (@kalashsinghal #157):
isic_tilt_mapperep_companiesecoinvent_activitiesecoinvent_inputsmatches_mapperisic_nameIn the output of all profile_*() functions these columns now have new names (#118):
PCTR_risk_category -> emission_profilePCTR_share -> emission_profile_shareICTR_risk_category -> emission_usptream_profileICTR_share -> emission_usptream_profile_sharePSTR_risk_category -> sector_profilePSTR_share -> sector_profile_shareISTR_risk_category -> sector_profile_upstreamISTR_share -> sector_profile_upstream_sharesector -> sector_scenariosubsector -> subsector_scenarioprofile_ranking -> reduction_targetsThe following toy datasets are now deprecated in favor of equivalent data from tiltToyData (#132).
ecoinvent_activitiesecoinvent_inputsep_companiesisic_namematches_mappereuropages_companies and ecoinvent_inputs are no
longer passed to the output (@kalashsinghal #105).The following functions are now deprecated in favor of the equivalent functions
of the new API (#96, see also ?tiltIndicator::rename).
prepare_ictr_company().prepare_ictr_product().prepare_istr_company().prepare_istr_product().prepare_pctr_company().prepare_pctr_product().prepare_pstr_company().prepare_pstr_product().New arguments, new columns, and rename columns about *isic_4digit* (#86
@kalashsinghal):
The functions profile_sector() and profile_sector_upstream() gain the
argument isic_tilt.
In the output of profile_emissions() and profile_emissions_upstream() at
product level the columns isic_name and input_isic_name are now renamed to
isic_4digit_name and input_isic_4digit_name, respectively.
The output of profile_sector() and profile_sector_upstream() at product
level gains the column isic_4digit_name and input_isic_4digit_name,
respectively.
ecoinvent_inputs of profile_emissions_upstream() and
profile_sector_upstream() is now relocated next to other ecoinvent datasets,
and before the mappers (#91). This gives all profile*() functions a more
consistent structure.tiltIndicator::unest_product() and tiltIndicator::unnest_company()
(#88).*isic* and *sector*
(#78).*isic_4digit are no longer padded to 4 digits (#81 @kalashsinghal).pstr_company and istr_company as we now have more accurate toy datasets (#55).prepare_istr_company() now accepts the output of tiltIndicator::sector_profile_upstream() 'as is' (#54).prepare_inter_pctr_product().prepare_inter_pstr_product().prepare_matches_mapper().prepare_pstr_company() now accepts the output of tiltIndicator::sector_profile() 'as is' (#50).prepare_pctr_product() No longer errors with "Column unit doesn't exist" (#26).*isic_4digit is numeric (#42).