Merge pull request #959 from NREL/ll/rename_sources

Ll/rename sources - renamed tsv_maker folders, checked that nothing has changed except relevant tsv footnotes

CHANGELOG.md

@@ -21,6 +21,7 @@ Fixes
 - For homes with a finished attic or cathedral ceilings, models a conditioned attic instead of a vented attic ([#830](https://github.com/NREL/resstock/pull/830))
 - Reduce housing characteristic file size by relaxing the six digit float format in the housing characteristics ([#877](https://github.com/NREL/resstock/pull/877))
 - Fix minor bug in sampling probability calculation ([#934](https://github.com/NREL/resstock/pull/934)) 
+- Rename sources subfolders so all tsv_makers can be imported as packages ([#959](https://github.com/NREL/resstock/pull/959))
 
 ## ResStock v2.5.0
 ###### February 9, 2022 - [Diff](https://github.com/NREL/OpenStudio-BuildStock/compare/v2.4.0...v2.5.0)

project_national/housing_characteristics/Bedrooms.tsv

@@ -44,7 +44,7 @@ Single-Family Detached	3000-3999	0.00130304	0.0278865	0.224333	0.498839	0.247638
 Single-Family Detached	4000+	0.00413655	0.0203934	0.18168	0.37878	0.41501	3194	6.94979e+06	0.0269243
 Single-Family Detached	500-749	0.307755	0.480801	0.161232	0.034887	0.0153251	755	1.76026e+06	0.00827534
 Single-Family Detached	750-999	0.0910471	0.492679	0.364592	0.0439682	0.00771344	3213	7.80604e+06	0.0372205
-# Created by: sources\ahs\2017_2019\tsv_maker.py
+# Created by: sources\ahs\ahs2017_2019\tsv_maker.py
 # Source: Constructed using 2017 and 2019 American Housing Survey (AHS) microdata.
 # Source: Building type categorization based on U.S. EIA 2009 Residential Energy Consumption Survey (RECS).
 # Assumption: More than 5 bedrooms are labeled as 5 bedrooms and 0 bedrooms are labeled as 1 bedroom

project_national/housing_characteristics/Clothes Washer Presence.tsv

@@ -719,6 +719,6 @@ Non-CBSA West South Central	Single-Family Detached	Natural Gas	0.0340648	0.96593
 Non-CBSA West South Central	Single-Family Detached	None	0.412382	0.587618	4	14809.4	0.000136622
 Non-CBSA West South Central	Single-Family Detached	Other Fuel	0.0330218	0.966978	60	213035	0.000903968
 Non-CBSA West South Central	Single-Family Detached	Propane	0.03583	0.96417	144	491200	0.00257795
-# Created by: sources\ahs\2017_2019\tsv_maker.py
+# Created by: sources\ahs\ahs2017_2019\tsv_maker.py
 # Source: Constructed using 2017 and 2019 American Housing Survey (AHS) microdata.
 # Source: Core Based Statistical Area (CBSA) data based on the Feb 2013 CBSA delineation file.

project_national/housing_characteristics/Dishwasher.tsv

@@ -199,5 +199,5 @@ Single-Family Detached	CR08	High	0	0	0.286665	0	0	0.219205	0.49413	326.5	2.30762
 Single-Family Detached	CR09	High	0	0	0.301601	0	0	0.17669	0.521709	544.5	5.33075e+06	0.0462646
 Single-Family Detached	CR10	High	0	0	0.363528	0	0	0.170922	0.46555	60.75	674693	0.00591964
 Single-Family Detached	CR11	High	0	0	0.292821	0	0	0.150646	0.556533	236	1.76455e+06	0.0150449
-# Created by: sources\recs\2009\tsv_maker.py
+# Created by: sources\recs\recs2009\tsv_maker.py
 # Source: Constructed using U.S. EIA 2009 Residential Energy Consumption Survey (RECS) microdata.

project_national/housing_characteristics/Federal Poverty Level.tsv

@@ -189,5 +189,5 @@ Dependency=Income	Dependency=Occupants	Option=0-100%	Option=100-150%	Option=150-
 <10000	7	1	0	0	0	0	0	998	24917	0.000236035
 <10000	8	1	0	0	0	0	0	367	9120	8.32149e-05
 <10000	9	1	0	0	0	0	0	153	3447	3.20494e-05
-# Created by: sources\pums\2019_5yrs\tsv_maker.py
+# Created by: sources\pums\pums2019_5yrs\tsv_maker.py
 # Source: % FPL calculated using annual household income in 2019USD (continuous, not binned) from 2019-5yrs PUMS data and 2019 Federal Poverty Lines for contiguous US, where the FPL threshold for 1-occupant household is $12490 and $4420 for every additional person in the household.

project_national/housing_characteristics/Geometry Building Horizontal Location MF.tsv

@@ -475,6 +475,6 @@ None	20	0	0	1	0	0	0
 183	21	0.229508	0.540984	0	0	0.229508	0.00111716
 323	21	0.130031	0.739938	0	0	0.130031	0.00246479
 None	21	0	0	1	0	0	0
-# Created by: sources\recs\2009\tsv_maker.py
+# Created by: sources\recs\recs2009\tsv_maker.py
 # Source: Calculated directly from other distributions
 # Assumption: All values are calculated assuming the building has double-loaded corridors (with some exceptions like 3 units in single-story building).

project_national/housing_characteristics/Geometry Building Level MF.tsv

@@ -84,6 +84,6 @@ Mobile Home	14	0	0	1	0	0
 Mobile Home	15	0	0	1	0	0
 Mobile Home	20	0	0	1	0	0
 Mobile Home	21	0	0	1	0	0
-# Created by: sources\recs\2009\tsv_maker.py
+# Created by: sources\recs\recs2009\tsv_maker.py
 # Source: Calculated directly from other distributions
 # Assumption: Calculated using the number of stories, where buildings >=2 stories have Top and Bottom probabilities = 1/Geometry Stories, and Middle probabilities = 1 - 2/Geometry stories

project_national/housing_characteristics/Geometry Building Type ACS.tsv

@@ -2335,5 +2335,5 @@ WY, 00200	0.0159037	0.0343611	0.0222568	0.0216755	0.0251427	0.00512821	0.188685
 WY, 00300	0.0367279	0.0659537	0.0546369	0.0363288	0.0244054	0.0153392	0.0844852	0.0837829	0.59834	2695	62650	0.000452395
 WY, 00400	0.0164125	0.0444339	0.0329775	0.0263629	0.0390393	0.0105414	0.133587	0.0238658	0.672779	2673	52460	0.000380774
 WY, 00500	0.0196535	0.0289212	0.0236563	0.0215827	0.0150376	0.00528299	0.193145	0.0368547	0.655866	3324	55461	0.000405651
-# Created by: sources\pums\2019_5yrs\tsv_maker.py
+# Created by: sources\pums\pums2019_5yrs\tsv_maker.py
 # Source: 2019-5yrs Public Use Microdata Samples (PUMS). IPUMS USA, University of Minnesota, www.ipums.org.

project_national/housing_characteristics/Geometry Building Type Height.tsv

@@ -84,5 +84,5 @@ Single-Family Detached	14	0	0	0	0	0	0	1	0	0	0
 Single-Family Detached	15	0	0	0	0	0	0	1	0	0	0
 Single-Family Detached	20	0	0	0	0	0	0	1	0	0	0
 Single-Family Detached	21	0	0	0	0	0	0	1	0	0	0
-# Created by: sources\recs\2009\tsv_maker.py
+# Created by: sources\recs\recs2009\tsv_maker.py
 # Source: Calculated directly from other distributions

project_national/housing_characteristics/Geometry Building Type RECS.tsv

@@ -8,5 +8,5 @@ Dependency=Geometry Building Type ACS	Option=Mobile Home	Option=Multi-Family wit
 Mobile Home	1	0	0	0	0	441437	8.58721e+06	0.0627558
 Single-Family Attached	0	0	0	1	0	374812	7.96142e+06	0.0583947
 Single-Family Detached	0	0	0	0	1	4.56629e+06	8.40264e+07	0.615043
-# Created by: sources\pums\2019_5yrs\tsv_maker.py
+# Created by: sources\pums\pums2019_5yrs\tsv_maker.py
 # Source: 2019-5yrs Public Use Microdata Samples (PUMS). IPUMS USA, University of Minnesota, www.ipums.org.

project_national/housing_characteristics/Geometry Floor Area Bin.tsv

@@ -8,6 +8,6 @@ Dependency=Geometry Floor Area	Option=0-1499	Option=1500-2499	Option=2500-3999	O
 4000+	0	0	0	1	590	5.0953e+06	0.0296855
 500-749	1	0	0	0	1155	1.20227e+07	0.0790904
 750-999	1	0	0	0	1567	1.50868e+07	0.144142
-# Created by: sources\recs\2009\tsv_maker.py
+# Created by: sources\recs\recs2009\tsv_maker.py
 # Source: The sample counts and sample weights are constructed using U.S. EIA 2009 Residential Energy Consumption Survey (RECS) microdata.
 # Source: Geometry Floor Area bins are from the UNITSIZE field of the 2017 American Housing Survey (AHS).

project_national/housing_characteristics/Geometry Floor Area.tsv

@@ -9719,6 +9719,6 @@ West South Central	Single-Family Detached	<20000	Not/partially in metro area	Ren
 West South Central	Single-Family Detached	<20000	Not/partially in metro area	Renter	2000-09	0	0	0.104068	0.634347	0.204886	0.0473778	0.00758909	0	0.00173226	0.430465	1646.12	0.000117436
 West South Central	Single-Family Detached	<20000	Not/partially in metro area	Renter	2010s	0	0.0584929	0.168595	0.503841	0.201108	0.0160712	0.0215669	0	0.0303254	0.0126603	48.2886	5.09121e-05
 West South Central	Single-Family Detached	<20000	Not/partially in metro area	Renter	<1940	0	0.0339684	0.0309035	0.805607	0.0990085	0.0194156	0.00473828	0	0.00635905	0.119375	381.889	0.000127242
-# Created by: sources\ahs\2017_2019\tsv_maker.py
+# Created by: sources\ahs\ahs2017_2019\tsv_maker.py
 # Source: Constructed using 2017 and 2019 American Housing Survey (AHS) microdata.
 # Assumption: Due to low sample count, the tsv is constructed by downscaling a core sub-tsv with 3 sub-tsvs of different dependencies. The sub-tsvs have the following dependencies: tsv1 : 'Census Division', 'PUMA Metro Status', 'Geometry Building Type RECS', 'Income RECS2020'; tsv2 : 'Census Division', 'PUMA Metro Status', 'Geometry Building Type RECS', 'Tenure'; tsv3 : 'Census Division', 'PUMA Metro Status', 'Geometry Building Type RECS', 'Vintage ACS'; tsv4 : 'Census Division', 'PUMA Metro Status', 'Income RECS2020', 'Tenure'. For each sub-tsv, rows with <10 samples are replaced with coarsening dependency Census Region, followed by National.

project_national/housing_characteristics/Geometry Stories Low Rise.tsv

@@ -16,5 +16,5 @@ Dependency=Geometry Stories	Option=1	Option=2	Option=3	Option=4+	source_count	so
 15	0	0	0	1	10	96913	0.00103517
 20	0	0	0	1	15	120772	0.00210734
 21	0	0	0	1	51	572630	0.00682112
-# Created by: sources\recs\2009\tsv_maker.py
+# Created by: sources\recs\recs2009\tsv_maker.py
 # Source: Calculated directly from other distributions

project_national/housing_characteristics/Geometry Stories.tsv

@@ -215,7 +215,7 @@ Single-Family Detached	0-1499	<1940	0.615321	0.3778	0.00687913	0	0	0	0	0	0	0	0	0
 Single-Family Detached	1500-2499	<1940	0.25766	0.726773	0.0155679	0	0	0	0	0	0	0	0	0	0	0	0	0	0	333	3.03809e+06	0.0311699
 Single-Family Detached	2500-3999	<1940	0.0817717	0.847258	0.0709698	0	0	0	0	0	0	0	0	0	0	0	0	0	0	183	1.63732e+06	0.0126516
 Single-Family Detached	4000+	<1940	0.0707851	0.752165	0.17705	0	0	0	0	0	0	0	0	0	0	0	0	0	0	51	486095	0.00287226
-# Created by: sources\recs\2009\tsv_maker.py
+# Created by: sources\recs\recs2009\tsv_maker.py
 # Source: Constructed using U.S. EIA 2009 Residential Energy Consumption Survey (RECS) microdata.
 # Assumption: All mobile homes are 1 story.
 # Assumption: Single-Family Detached and Single-Family Attached use the STORIES field in RECS, whereas Multifamily with 5+ units uses the NUMFLRS field.

project_national/housing_characteristics/Geometry Story Bin.tsv

@@ -16,5 +16,5 @@ Dependency=Geometry Stories	Option=<8	Option=8+	source_count	source_weight	sampl
 15	0	1	10	96913	0.00103517
 20	0	1	15	120772	0.00210734
 21	0	1	51	572630	0.00682112
-# Created by: sources\recs\2009\tsv_maker.py
+# Created by: sources\recs\recs2009\tsv_maker.py
 # Source: Constructed using U.S. EIA 2009 Residential Energy Consumption Survey (RECS) microdata.

project_national/housing_characteristics/HVAC Cooling Type.tsv

@@ -2249,7 +2249,7 @@ Dependency=ASHRAE IECC Climate Zone 2004	Dependency=Geometry Building Type RECS
 7B	Single-Family Detached	Non-Ducted Heat Pump	<1940	0	1	0	0	0	0	0
 7B	Single-Family Detached	Non-Ducted Heating	<1940	0	0	0.816404	0.183596	9	1165.58	3.17463e-05
 7B	Single-Family Detached	None	<1940	0	0	0.816404	0.183596	9	1165.58	1.05796e-07
-# Created by: sources\recs\2009\tsv_maker.py
+# Created by: sources\recs\recs2009\tsv_maker.py
 # Source: The sample counts and sample weights are constructed using U.S. EIA 2009 Residential Energy Consumption Survey (RECS) microdata.
 # Assumption: If a sample has both Central AC and Room AC, we assume it has Central AC only
 # Assumption: If a sample indicates using a heat pump for AC but does not indicate using a heat pump for heating, then we either assign it a heat pump for heating (if electric heating was indicated), or we asssign it Central AC (if non-electric heating was indicated).

project_national/housing_characteristics/HVAC Has Ducts.tsv

@@ -19,5 +19,5 @@ Central AC	None	0	1	131	1.01105e+06	0.00209393
 Heat Pump	None	0.5	0.5	0	0	0
 None	None	1	0	184	1.45983e+06	0.00308268
 Room AC	None	1	0	77	609820	0.00372905
-# Created by: sources\recs\2009\tsv_maker.py
+# Created by: sources\recs\recs2009\tsv_maker.py
 # Source: The sample counts and sample weights are constructed using U.S. EIA 2009 Residential Energy Consumption Survey (RECS) microdata.

project_national/housing_characteristics/HVAC Heating Efficiency.tsv

@@ -119,7 +119,7 @@ Propane	Cooling Only	None	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0
 Propane	Heating Only	None	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0
 Propane	Heating and Cooling	None	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0
 Propane	None	None	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0
-# Created by: sources\recs\2009\tsv_maker.py
+# Created by: sources\recs\recs2009\tsv_maker.py
 # Source: The sample counts and sample weights are constructed using U.S. EIA 2009 Residential Energy Consumption Survey (RECS) microdata.
 # Source: Shipment data based on CAC-ASHP-shipments-table.tsv and furnace-shipments-table.tsv
 # Source: Efficiency data based on expanded_HESC_HVAC_efficiencies.tsv combined with age of equipment data from RECS

project_national/housing_characteristics/HVAC Heating Type And Fuel.tsv

@@ -131,5 +131,5 @@ Propane	None	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0
 Propane	Other	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0
 Propane	Shared Heating	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	18	236639	0.00101433
 Propane	Void	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0
-# Created by: sources\recs\2009\tsv_maker.py
+# Created by: sources\recs\recs2009\tsv_maker.py
 # Source: Calculated directly from other distributions

project_national/housing_characteristics/HVAC Heating Type.tsv

@@ -863,7 +863,7 @@ Dependency=ASHRAE IECC Climate Zone 2004 - 2A Split	Dependency=Heating Fuel	Depe
 7B	None	<1940	0	0	0	0	1	0	0	5.49545e-07
 7B	Other Fuel	<1940	0	0.605393	0	0.394607	0	20	2765.48	1.12446e-05
 7B	Propane	<1940	0	0.605393	0	0.394607	0	20	2765.48	1.06754e-05
-# Created by: sources\recs\2009\tsv_maker.py
+# Created by: sources\recs\recs2009\tsv_maker.py
 # Source: Constructed using U.S. EIA 2009 Residential Energy Consumption Survey (RECS) microdata.
 # Assumption: There are no mini-split heat pumps in RECS 2009
 # Assumption: Due to low sample sizes for some heating fuel types, heating fuel data is queried from three groups:1) Electricity, 2) None, and 3) Natural Gas, Propane, Fuel Oil, and Other Fuel Data.

project_national/housing_characteristics/Heating Fuel.tsv

@@ -105119,6 +105119,6 @@ Single-Family Detached	WY, 00500	1990s	0.133548	0	0.514883	0	0.111826	0.239743	1
 Single-Family Detached	WY, 00500	2000s	0.108738	0.00932744	0.503191	0	0.12543	0.253314	247	4074	3.64465e-05
 Single-Family Detached	WY, 00500	2010s	0.131068	0.00728155	0.762945	0	0.0550162	0.0436893	62	1236	1.00204e-05
 Single-Family Detached	WY, 00500	<1940	0.117284	0.00402576	0.716855	0	0.120505	0.0413312	231	3726	3.63587e-05
-# Created by: sources\pums\2019_5yrs\tsv_maker.py
+# Created by: sources\pums\pums2019_5yrs\tsv_maker.py
 # Source: 2019-5yrs Public Use Microdata Samples (PUMS). IPUMS USA, University of Minnesota, www.ipums.org.
 # Assumption: In ACS, Heating Fuel is reported for occupied units only. By excluding Vacancy Status as adependency, we assume vacant units share the same Heating Fuel distribution as occupied units. Where sample counts are less than 10, the State average distribution has been inserted. Prior to insertion, the following adjustments have been made to the state distribution so all rows have sample count > 10: 1. Where sample counts < 10 (which consists of Mobile Home and Single-Family Attached only), the Vintage ACS distribution is used instead of Vintage: [CT, DE, ID, MD, ME, MT, ND, NE, NH, NV, RI, SD, UT, VT, WY]; 2. Remaining Mobile Homes < 10 are replaced by Single-Family Detached: [DE, RI, SD, VT, WY, and all DC].

project_national/housing_characteristics/Income RECS2015.tsv

@@ -18,6 +18,6 @@ Dependency=Income	Option=<20000	Option=20000-39999	Option=40000-59999	Option=600
 70000-79999	0	0	0	1	0	0	0	0	369809	7.09284e+06	0.0589667
 80000-99999	0	0	0	0	1	0	0	0	611884	1.16765e+07	0.0962474
 <10000	1	0	0	0	0	0	0	0	349094	7.31451e+06	0.0629564
-# Created by: sources\pums\2019_5yrs\tsv_maker.py
+# Created by: sources\pums\pums2019_5yrs\tsv_maker.py
 # Source: 2019-5yrs Public Use Microdata Samples (PUMS). IPUMS USA, University of Minnesota, www.ipums.org.
 # Assumption: Income bins per RECS 2015

project_national/housing_characteristics/Income RECS2020.tsv

@@ -18,6 +18,6 @@ Dependency=Income	Option=<20000	Option=20000-39999	Option=40000-59999	Option=600
 70000-79999	0	0	0	1	0	0	369809	7.09284e+06	0.0589667
 80000-99999	0	0	0	1	0	0	611884	1.16765e+07	0.0962474
 <10000	1	0	0	0	0	0	349094	7.31451e+06	0.0629564
-# Created by: sources\pums\2019_5yrs\tsv_maker.py
+# Created by: sources\pums\pums2019_5yrs\tsv_maker.py
 # Source: 2019-5yrs Public Use Microdata Samples (PUMS). IPUMS USA, University of Minnesota, www.ipums.org.
 # Assumption: Consolidated income bins per RECS 2020

project_national/housing_characteristics/Income.tsv

@@ -140159,6 +140159,6 @@ Single-Family Attached	WY, 00500	Owner	<1940	0.0461725	0.0704739	0.0340219	0.046
 Single-Family Attached	WY, 00500	Renter	<1940	0.0619629	0.0189959	0.0379919	0.0348259	0.0723654	0.0556309	0.0995025	0.0995025	0.0465853	0.127092	0.0624152	0.0660335	0.0687472	0.082768	0.00452284	0.0230665	0.0113071	0.00723654	0.0194482	100	2211	9.22452e-07
 Single-Family Detached	WY, 00500	Owner	<1940	0.0351989	0.06195	0.0520943	0.0492784	0.0397747	0.0485744	0.0598381	0.0295671	0.0513904	0.0876452	0.0746216	0.0894051	0.11334	0.0707497	0.0256952	0.0151355	0.0158395	0.0235832	0.0563182	181	2841	3.10864e-05
 Single-Family Detached	WY, 00500	Renter	<1940	0.0937853	0.040678	0.0429379	0.0553672	0.0870056	0.0768362	0.0734463	0.0531073	0.00677966	0.170621	0.0621469	0.0542373	0.0305085	0	0.144633	0.00564972	0	0	0.00225989	50	885	5.27231e-06
-# Created by: sources\pums\2019_5yrs\tsv_maker.py
+# Created by: sources\pums\pums2019_5yrs\tsv_maker.py
 # Source: 2019-5yrs Public Use Microdata Samples (PUMS). IPUMS USA, University of Minnesota, www.ipums.org.
 # Assumption: In ACS, Income and Tenure are reported for occupied units only. Because we assume vacant units share the same Tenure distribution as occupied units, by extension, we assume this Income distribution applies to all units regardless of Vacancy Status. For reference, 57445 / 140160 rows have sampling_probability >= 1/550000. Of those rows, 2961 (5%) were replaced due to low samples in the following process: Where sample counts are less than 10 (79145 / 140160 relevant rows), the Census Division by PUMA Metro Status average distribution has been inserted first (76864), followed by Census Division by 'Metro'/'Non-metro' average distribution (1187), followed by Census Region by PUMA Metro Status average distribution (282), followed by Census Region by 'Metro'/'Non-metro' average distribution (112).

project_national/housing_characteristics/Misc Freezer.tsv

@@ -49,5 +49,5 @@ Single-Family Detached	CR08	0.468128	0.531872	1306	9.23049e+06	0.0823095
 Single-Family Detached	CR09	0.392873	0.607127	2178	2.1323e+07	0.185058
 Single-Family Detached	CR10	0.32285	0.67715	243	2.69877e+06	0.0236786
 Single-Family Detached	CR11	0.223965	0.776035	944	7.05821e+06	0.0601795
-# Created by: sources\recs\2009\tsv_maker.py
+# Created by: sources\recs\recs2009\tsv_maker.py
 # Source: Constructed using U.S. EIA 2009 Residential Energy Consumption Survey (RECS) microdata.

project_national/housing_characteristics/Misc Hot Tub Spa.tsv

@@ -49,5 +49,5 @@ Single-Family Detached	CR08	0.0521059	0.001951	0.945943	1306	9.23049e+06	0.08230
 Single-Family Detached	CR09	0.0470616	0.0176266	0.935312	2178	2.1323e+07	0.185058
 Single-Family Detached	CR10	0.0772359	0.0400795	0.882685	243	2.69877e+06	0.0236786
 Single-Family Detached	CR11	0.0602301	0.0688708	0.870899	944	7.05821e+06	0.0601795
-# Created by: sources\recs\2009\tsv_maker.py
+# Created by: sources\recs\recs2009\tsv_maker.py
 # Source: Constructed using U.S. EIA 2009 Residential Energy Consumption Survey (RECS) microdata.

project_national/housing_characteristics/Misc Pool.tsv

@@ -49,5 +49,5 @@ Single-Family Detached	CR08	0.0804547	0.919545	1306	9.23049e+06	0.0823095
 Single-Family Detached	CR09	0.114957	0.885043	2178	2.1323e+07	0.185058
 Single-Family Detached	CR10	0.192343	0.807657	243	2.69877e+06	0.0236786
 Single-Family Detached	CR11	0.167064	0.832936	944	7.05821e+06	0.0601795
-# Created by: sources\recs\2009\tsv_maker.py
+# Created by: sources\recs\recs2009\tsv_maker.py
 # Source: Constructed using U.S. EIA 2009 Residential Energy Consumption Survey (RECS) microdata.