Closed prrathi closed 3 years ago
Merging #37 (f70a4f3) into master (93cab3d) will not change coverage. The diff coverage is
n/a
.
@@ Coverage Diff @@
## master #37 +/- ##
=======================================
Coverage 63.13% 63.13%
=======================================
Files 8 8
Lines 1188 1188
=======================================
Hits 750 750
Misses 438 438
Flag | Coverage Δ | |
---|---|---|
unittests | 63.13% <ø> (ø) |
Flags with carried forward coverage won't be shown. Click here to find out more.
Continue to review full report at Codecov.
Legend - Click here to learn more
Δ = absolute <relative> (impact)
,ø = not affected
,? = missing data
Powered by Codecov. Last update 93cab3d...f70a4f3. Read the comment docs.
I would suggest that the csv and image files not a a part of this repo, but it'd be good to share useful images in this discussion.
BTW, here's a study talking about creating tax units from the PSID.
This PR has been superseded by PR #39. Closing.
The
psidhousehold.py
andcpshousehold.py
files added to the ogusa_calibrate folder contain the scripts that read data- frompsid_data_setup.py
for PSID and PSL's cps dataset for CPS- and output csv files and images for each one. Per suggestion by @rickecon and @MaxGhenis , thepsid.csv
andcps.csv
files are in their respective folders within ogusa_calibrate/data, and contain ordered by head age and income bracket the average number of people in each age group originally and then after smoothing. The images depict these transformations for each age group of each data type and are outputted to ogusa_calibrate/data/images.