Commit graph

331 commits

Author SHA1 Message Date
874e708112
chore(data): Sort out irrelevant study 2023-12-12 20:07:45 +01:00
26afa3b8ea
fix(script): Add missing Rosen2014 annotation 2023-12-12 08:48:25 +01:00
30d059d68b
chore(script): Imply regional/findings breakdowns 2023-12-12 08:46:59 +01:00
9855256b00
feat(notes): Add intermittent findings and progress
Created small up-to-date quick glance document for findings and
data set.
2023-12-11 17:17:43 +01:00
b5e467e016
feat(code): Add examples of list handling notebook
Extracts interventions/inequalities and explodes them for value counts.
2023-12-11 17:17:42 +01:00
85497854c1
feat(data): Extract Adams2015 2023-12-11 17:17:42 +01:00
6041d00d8b
chore(data): Categorize further studies for tags
Tag studies for income, gender, racial and ethnicity inequalities
based on title keywords.
2023-12-11 17:10:31 +01:00
6104f2d274
feat(data): Extract Rosen2014 2023-12-11 09:49:46 +01:00
b09e65476b
fix(data): Unify spelling Emigh2018 intervention 2023-12-10 19:49:31 +01:00
ef06e4bb88
chore(data): Sort out Dumas2018 2023-12-10 19:29:47 +01:00
af2df5736c
chore(script): Refactor pandas data ingestion
Load data at top of file, then use chained methods for
visualizations.
2023-12-10 19:29:29 +01:00
0e29a3332c
feat(data): Extract Emigh2018 2023-12-10 19:29:28 +01:00
ca7eab92d3
chore(script): Refactor pandas data ingestion
Load data at top of file, then use chained methods for
visualizations.
2023-12-10 18:00:27 +01:00
1ba2daeacd
feat(data): Extract Emigh2018 2023-12-10 17:59:19 +01:00
50ce8b6310
feat(data): Extract Shepherd-Banigan2021 2023-12-10 17:59:17 +01:00
85c6340b5c
fix(data): Remove 'poverty' as inequality category
Poverty is a status but not directly inequality
2023-12-10 17:57:50 +01:00
7258915ef1
feat(script): Extract Gates2000 2023-12-10 11:33:56 +01:00
efd6e285c8
feat(script): Extract Hardoy2015 2023-12-10 11:04:19 +01:00
8e7f99b20d
chore(script): Refactor dataframe loading code
Improved readability of dataframe loading, used improved chaining
and some list comprehension to make it much less messy.
2023-12-09 23:46:21 +01:00
3f05283f6d
chore(script): Refactor screening flowchart calculations
Made it much clearer and simpler how numbers are calculated for the
screening flowchart. Now we just keep the actual numbers in memory
and not a copy of the whole bibtex library for each calculation step.

Also renamed the bibtex variables to be more sane, `bib_sample_raw_db`
(the raw, unaltered sample returned from querying the databases), and
`bib_sample` for our working sample including database queries and
snowballing studies but already deduplicated (since we can't keep
an unduplicated version on Zotero).
2023-12-09 22:06:05 +01:00
708fa90d29
chore(script): Refactor file top imports 2023-12-09 21:54:26 +01:00
c3b0d8cfd6
fix(script): Fix display of fuller-width figures 2023-12-09 20:41:29 +01:00
a681a5b6ff
fix(data): Fix display of table data linebreak 2023-12-09 20:40:56 +01:00
51132d818d
chore(repo): Remove margin captions from html
Removed captions from figures and references in the margin and display
in the normal text-flow instead.
2023-12-09 19:05:10 +01:00
5d17d5091f
feat(script): Add introductory hook to income inequality
Added small hook which can be built upon later, introduces concept of primacy of
vertical income inequality but how it can exacerbate issues.
2023-12-09 19:04:26 +01:00
2cf2a03d87
fix(script): Remove visualization per literature type
For the time being removed the distinction between gray and white literature
as our sample did not lend itself to the dissection. May reintroduce later.
2023-12-09 18:58:27 +01:00
56e18b1285
fix(script): Calculate country groups for sample 2023-12-09 18:56:42 +01:00
3b6ed7a79b
feat(code): Add quick data querying notebook
Added a notebook which has the sole point of quickly allowing me
to grab and look at the data of the processed sample I am creating.

I.e. quickly list and uniq all interventions/outcomes/inequalities,
doing a tiny calculation or similar.
2023-12-09 18:50:43 +01:00
e2c629ff33
fix(data): Improve yml template whitespace preparation 2023-12-09 18:49:00 +01:00
b83f39ffc1
feat(data): Extract Wong2019 2023-12-09 18:48:59 +01:00
8bef9033f8
feat(data): Extract Alinaghi2020 2023-12-09 18:48:39 +01:00
9c8b42d3bc
feat(data): Extract Field2019 2023-12-09 17:00:05 +01:00
efdb42f36f
feat(data): Extract Carstens2018 2023-12-09 17:00:05 +01:00
a51e11b7f6
chore(data): Add irrelevant study 2023-12-09 16:09:08 +01:00
cc68e83730
fix(script): Improve spelling and wording 2023-12-09 13:04:01 +01:00
99672df48f
feat(data): Extract Whitworth2021 2023-12-09 13:03:30 +01:00
e1bb1b5fc3
feat(data): Extract Al-Mamun2014 2023-12-09 13:03:29 +01:00
b42838f173
chore(data): Unify intervention categories 2023-12-09 13:03:12 +01:00
09e2ae6317
feat(data): Extract Delesalle2021 2023-12-09 13:03:11 +01:00
12964bade3
chore(data): Re-integrate previous reviews into bibtex 2023-12-08 15:54:16 +01:00
6f1ce1f8b5
chore(script): Add tentative income inequality synthesis organization 2023-12-08 12:38:18 +01:00
a25e2c4943
chore(code): Add experimental molten notebook 2023-12-08 12:37:43 +01:00
0e11920166
fix(data): Fix intervention type tags Blumenberg2014 2023-12-07 22:43:08 +01:00
ed3d09b3f7
feat(script): Use extracted data for manuscript
For the first time we use the actual final extracted data from relevant studies
to do analysis on instead of just the intermediate Zotero-provided metadata.

We still inject the intermediate metadata where it may be useful (things like
citation counts and keywords) but otherwise switch to the new data.
2023-12-07 22:34:18 +01:00
e4e7d9e3e4
feat(data): Add publication type to extracted data 2023-12-07 21:40:48 +01:00
a854794a43
chore(repo): Move scripts to src directory 2023-12-07 21:16:12 +01:00
76ff71765c
chore(script): Lowercase all df columns
In preparation for the processed sample renamed all columns to
their lowercase versions.
2023-12-07 20:40:54 +01:00
d88c733b6d
feat(data): Prepare loading WB country group data 2023-12-07 20:11:27 +01:00
8f0f57edcc
feat(script): Begin adding spatial inequality section 2023-12-07 16:56:18 +01:00
1589b8c6fb
feat(data): Extract Kuriyama2021 2023-12-07 16:53:51 +01:00