Qumo/JPMC-quant
2
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

docs datasets

Browse Source
This commit is contained in:
Luigi Maiorano
2026-02-09 13:17:59 +01:00
parent 7fb6570190
commit 92c6fc03ab
3 changed files with 107 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

BIN
docs/README.pdf Normal file
View File

Binary file not shown.

104
docs/figures_structure_manual.md Normal file
View File

@@ -0,0 +1,104 @@
# Appendix: Quantitative Analysis Plots - Folder Structure Manual
This folder contains all the quantitative analysis plots, sorted by the filters applied to the dataset. Each folder corresponds to a specific demographic cut.
## Folder Overview
* `All_Respondents/`: Analysis of the full dataset (no filters).
* `filter_index.txt`: A master list of every folder code and its corresponding demographic filter.
* **Filter Folders**: All other folders represent specific demographic cuts (e.g., `Age-18to21years`, `Gen-Woman`).
## How to Navigate
Each folder contains the same set of charts generated for that specific filter.
## Directory Reference Table
Below is the complete list of folder names. These names are encodings of the filters applied to the dataset, which we use to maintain consistency across our analysis.
| Directory Code | Filter Description |
| :--- | :--- |
| All_Respondents | All Respondents |
| Age-18to21years | Age: 18 to 21 years |
| Age-22to24years | Age: 22 to 24 years |
| Age-25to34years | Age: 25 to 34 years |
| Age-35to40years | Age: 35 to 40 years |
| Age-41to50years | Age: 41 to 50 years |
| Age-51to59years | Age: 51 to 59 years |
| Age-60to70years | Age: 60 to 70 years |
| Age-70yearsormore | Age: 70 years or more |
| Gen-Man | Gender: Man |
| Gen-Prefernottosay | Gender: Prefer not to say |
| Gen-Woman | Gender: Woman |
| Eth-6_grps_c64411 | Ethnicity: All options containing 'Alaska Native or Indigenous American' |
| Eth-6_grps_8f145b | Ethnicity: All options containing 'Asian or Asian American' |
| Eth-8_grps_71ac47 | Ethnicity: All options containing 'Black or African American' |
| Eth-7_grps_c5b3ce | Ethnicity: All options containing 'Hispanic or Latinx' |
| Eth-BlackorAfricanAmerican<br>MiddleEasternorNorthAfrican<br>WhiteorCaucasian+<br>MiddleEasternorNorthAfrican | Ethnicity: Middle Eastern or North African |
| Eth-AsianorAsianAmericanBlackorAfricanAmerican<br>NativeHawaiianorOtherPacificIslander+<br>NativeHawaiianorOtherPacificIslander | Ethnicity: Native Hawaiian or Other Pacific Islander |
| Eth-10_grps_cef760 | Ethnicity: All options containing 'White or Caucasian' |
| Inc-100000to149999 | Income: $100,000 to $149,999 |
| Inc-150000to199999 | Income: $150,000 to $199,999 |
| Inc-200000ormore | Income: $200,000 or more |
| Inc-25000to34999 | Income: $25,000 to $34,999 |
| Inc-35000to54999 | Income: $35,000 to $54,999 |
| Inc-55000to79999 | Income: $55,000 to $79,999 |
| Inc-80000to99999 | Income: $80,000 to $99,999 |
| Inc-Lessthan25000 | Income: Less than $25,000 |
| Cons-Lower_Mass_A+Lower_Mass_B | Consumer: Lower_Mass_A, Lower_Mass_B |
| Cons-MassAffluent_A+MassAffluent_B | Consumer: MassAffluent_A, MassAffluent_B |
| Cons-Mass_A+Mass_B | Consumer: Mass_A, Mass_B |
| Cons-Mix_of_Affluent_Wealth__<br>High_Net_Woth_A+<br>Mix_of_Affluent_Wealth__<br>High_Net_Woth_B | Consumer: Mix_of_Affluent_Wealth_&_High_Net_Woth_A, Mix_of_Affluent_Wealth_&_High_Net_Woth_B |
| Cons-Early_Professional | Consumer: Early_Professional |
| Cons-Lower_Mass_B | Consumer: Lower_Mass_B |
| Cons-MassAffluent_B | Consumer: MassAffluent_B |
| Cons-Mass_B | Consumer: Mass_B |
| Cons-Mix_of_Affluent_Wealth__<br>High_Net_Woth_B | Consumer: Mix_of_Affluent_Wealth_&_High_Net_Woth_B |
| Cons-Starter | Consumer: Starter |
| BizOwn-No | Business Owner: No |
| BizOwn-Yes | Business Owner: Yes |
| AI-Daily | Ai User: Daily |
| AI-Lessthanonceamonth | Ai User: Less than once a month |
| AI-Morethanoncedaily | Ai User: More than once daily |
| AI-Multipletimesperweek | Ai User: Multiple times per week |
| AI-Onceamonth | Ai User: Once a month |
| AI-Onceaweek | Ai User: Once a week |
| AI-RarelyNever | Ai User: Rarely/Never |
| AI-Daily+<br>Morethanoncedaily+<br>Multipletimesperweek | Ai User: Daily, More than once daily, Multiple times per week |
| AI-4_grps_d4f57a | Ai User: Once a week, Once a month, Less than once a month, Rarely/Never |
| InvAsts-0to24999 | Investable Assets: $0 to $24,999 |
| InvAsts-150000to249999 | Investable Assets: $150,000 to $249,999 |
| InvAsts-1Mto4.9M | Investable Assets: $1M to $4.9M |
| InvAsts-25000to49999 | Investable Assets: $25,000 to $49,999 |
| InvAsts-250000to499999 | Investable Assets: $250,000 to $499,999 |
| InvAsts-50000to149999 | Investable Assets: $50,000 to $149,999 |
| InvAsts-500000to999999 | Investable Assets: $500,000 to $999,999 |
| InvAsts-5Mormore | Investable Assets: $5M or more |
| InvAsts-Prefernottoanswer | Investable Assets: Prefer not to answer |
| Ind-Agricultureforestryfishingorhunting | Industry: Agriculture, forestry, fishing, or hunting |
| Ind-Artsentertainmentorrecreation | Industry: Arts, entertainment, or recreation |
| Ind-Broadcasting | Industry: Broadcasting |
| Ind-Construction | Industry: Construction |
| Ind-EducationCollegeuniversityoradult | Industry: Education – College, university, or adult |
| Ind-EducationOther | Industry: Education – Other |
| Ind-EducationPrimarysecondaryK-12 | Industry: Education – Primary/secondary (K-12) |
| Ind-Governmentandpublicadministration | Industry: Government and public administration |
| Ind-Hotelandfoodservices | Industry: Hotel and food services |
| Ind-InformationOther | Industry: Information – Other |
| Ind-InformationServicesanddata | Industry: Information – Services and data |
| Ind-Legalservices | Industry: Legal services |
| Ind-ManufacturingComputerandelectronics | Industry: Manufacturing – Computer and electronics |
| Ind-ManufacturingOther | Industry: Manufacturing – Other |
| Ind-Notemployed | Industry: Not employed |
| Ind-Otherindustrypleasespecify | Industry: Other industry (please specify) |
| Ind-Processing | Industry: Processing |
| Ind-Publishing | Industry: Publishing |
| Ind-Realestaterentalorleasing | Industry: Real estate, rental, or leasing |
| Ind-Retired | Industry: Retired |
| Ind-Scientificortechnicalservices | Industry: Scientific or technical services |
| Ind-Software | Industry: Software |
| Ind-Telecommunications | Industry: Telecommunications |
| Ind-Transportationandwarehousing | Industry: Transportation and warehousing |
| Ind-Utilities | Industry: Utilities |
| Ind-Wholesale | Industry: Wholesale |

3
potential_dataset_issues.md Normal file
View File

@@ -0,0 +1,3 @@
- V46 not in scale 1-10. Qualtrics
- Straightliners
- V45 goed in qual maar slecht in quant