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danielrosehill
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ifvi_valuefactors_deriv

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danielrosehill commited on
Commit
4f9977a
·
1 Parent(s): c793389

updated

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Files changed (3) hide show
  1. .github/scripts/update_stats.py +28 -12
  2. README.md +6 -323
  3. daily_downloads.csv +4 -0
.github/scripts/update_stats.py CHANGED
@@ -2,8 +2,25 @@ import requests
2
  import csv
3
  from datetime import datetime
4
  import os
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5
 
6
  API_URL = "https://huggingface.co/api/datasets/danielrosehill/ifvi_valuefactors_deriv?expand[]=downloads&expand[]=downloadsAllTime"
 
 
7
 
8
  def update_csv():
9
  response = requests.get(API_URL)
@@ -12,42 +29,41 @@ def update_csv():
12
  today = datetime.now().strftime('%Y-%m-%d')
13
 
14
  try:
15
- with open('daily_downloads.csv', mode='r') as file:
16
  reader = csv.reader(file)
17
  rows = list(reader)
18
  except FileNotFoundError:
19
  rows = [["Date", "Total Downloads"]]
20
 
21
- with open('daily_downloads.csv', mode='w', newline='') as file:
22
  writer = csv.writer(file)
23
  writer.writerows(rows)
24
  writer.writerow([today, downloads])
25
 
26
- return rows[1:] + [[today, downloads]] # Return all data except header
27
 
28
  def generate_mermaid_chart(data):
29
- # Create time series chart
30
  mermaid_syntax = '''```
31
  graph TD
32
  subgraph Download Statistics
33
  '''
34
- for date, downloads in data[-7:]: # Last 7 days
35
- mermaid_syntax += f' {date}["{date}: {downloads} downloads"]\n'
 
 
 
36
 
37
  mermaid_syntax += ' end\n```'
38
  return mermaid_syntax
39
 
40
  def update_readme(mermaid_chart):
41
- with open('README.md', 'r') as file:
42
  content = file.read()
43
 
44
- # Find the section between ## Download Statistics and the next ## or end of file
45
  start_marker = "## Download Statistics"
46
- if "## Download Statistics" not in content:
47
- # Add section if it doesn't exist
48
  content += f"\n\n{start_marker}\n\n{mermaid_chart}\n"
49
  else:
50
- # Replace existing section
51
  parts = content.split(start_marker)
52
  next_section = parts[1].find("##")
53
  if next_section == -1:
@@ -56,7 +72,7 @@ def update_readme(mermaid_chart):
56
  parts[1] = f"\n\n{mermaid_chart}\n" + parts[1][next_section:]
57
  content = start_marker.join(parts)
58
 
59
- with open('README.md', 'w') as file:
60
  file.write(content)
61
 
62
  if __name__ == "__main__":
 
2
  import csv
3
  from datetime import datetime
4
  import os
5
+ from pathlib import Path
6
+
7
+ # Get the repository root (works both for local and GitHub Actions)
8
+ if 'GITHUB_WORKSPACE' in os.environ:
9
+ REPO_ROOT = Path(os.environ['GITHUB_WORKSPACE'])
10
+ else:
11
+ # Find git root when running locally
12
+ current_dir = Path(__file__).resolve().parent
13
+ while current_dir != current_dir.parent:
14
+ if (current_dir / '.git').exists():
15
+ REPO_ROOT = current_dir
16
+ break
17
+ current_dir = current_dir.parent
18
+ else:
19
+ raise RuntimeError("Not in a git repository")
20
 
21
  API_URL = "https://huggingface.co/api/datasets/danielrosehill/ifvi_valuefactors_deriv?expand[]=downloads&expand[]=downloadsAllTime"
22
+ CSV_PATH = REPO_ROOT / 'daily_downloads.csv'
23
+ README_PATH = REPO_ROOT / 'README.md'
24
 
25
  def update_csv():
26
  response = requests.get(API_URL)
 
29
  today = datetime.now().strftime('%Y-%m-%d')
30
 
31
  try:
32
+ with open(CSV_PATH, mode='r') as file:
33
  reader = csv.reader(file)
34
  rows = list(reader)
35
  except FileNotFoundError:
36
  rows = [["Date", "Total Downloads"]]
37
 
38
+ with open(CSV_PATH, mode='w', newline='') as file:
39
  writer = csv.writer(file)
40
  writer.writerows(rows)
41
  writer.writerow([today, downloads])
42
 
43
+ return rows[1:] + [[today, downloads]]
44
 
45
  def generate_mermaid_chart(data):
 
46
  mermaid_syntax = '''```
47
  graph TD
48
  subgraph Download Statistics
49
  '''
50
+ seen_dates = set()
51
+ for date, downloads in data[-7:]:
52
+ if date not in seen_dates:
53
+ mermaid_syntax += f' {date}["{date}: {downloads} downloads"]\n'
54
+ seen_dates.add(date)
55
 
56
  mermaid_syntax += ' end\n```'
57
  return mermaid_syntax
58
 
59
  def update_readme(mermaid_chart):
60
+ with open(README_PATH, 'r') as file:
61
  content = file.read()
62
 
 
63
  start_marker = "## Download Statistics"
64
+ if start_marker not in content:
 
65
  content += f"\n\n{start_marker}\n\n{mermaid_chart}\n"
66
  else:
 
67
  parts = content.split(start_marker)
68
  next_section = parts[1].find("##")
69
  if next_section == -1:
 
72
  parts[1] = f"\n\n{mermaid_chart}\n" + parts[1][next_section:]
73
  content = start_marker.join(parts)
74
 
75
+ with open(README_PATH, 'w') as file:
76
  file.write(content)
77
 
78
  if __name__ == "__main__":
README.md CHANGED
@@ -34,330 +34,13 @@ The GVFD covers 430 different environmental impacts across four main categories
34
 
35
  ## Download Statistics
36
 
37
- ```mermaid
 
38
  graph TD
39
- A[Downloads] --> B[Time]
40
- B --> C[Daily Count]
41
- ```
42
-
43
- ---
44
-
45
- # Impact Categories In Dataset
46
-
47
- ![alt text](images/graphics/4.png)
48
-
49
- <div style="display: flex; flex-wrap: wrap;">
50
- <img src="images/cards/1.png" style="width: 45%; margin: 2.5%;">
51
- <img src="images/cards/2.png" style="width: 45%; margin: 2.5%;">
52
- <img src="images/cards/3.png" style="width: 45%; margin: 2.5%;">
53
- <img src="images/cards/4.png" style="width: 45%; margin: 2.5%;">
54
- <img src="images/cards/5.png" style="width: 45%; margin: 2.5%;">
55
- <img src="images/cards/6.png" style="width: 45%; margin: 2.5%;">
56
- <img src="images/cards/7.png" style="width: 45%; margin: 2.5%;">
57
- <img src="images/cards/8.png" style="width: 45%; margin: 2.5%;">
58
- </div>
59
-
60
-
61
-
62
- | **Category Name** | **Description** | **Impacts Considered** | **Reporting Units** | **Geostratified** |
63
- |----------------------|---------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------|---------------------|-----------------------------|
64
- | Air Pollution | Impacts caused by air pollution, by location and specific pollutant | Metric tons of PM2.5, PM10, SOx, NOx, NH3, and VOCs per year | Metric tons/year | Yes (by country and US state) |
65
- | GHG Emissions | Social costs of GHG emissions | Single globally applicable factor of 236 per ton of CO2 equivalent ($/tCO2e) | Metric tons/year | No |
66
- | Land Conversion | Displacement of land from pristine state into land for commercial activities | Land use changes in categories such as wheat, oilseeds, forestry, and paved land | Hectares (ha) | Yes |
67
- | Land Use | Ongoing ecosystem loss; cost due to continuing use of land for commercial purposes | Types of agriculture (e.g., wheat, oilseeds), forestry, and paved land | Hectares (ha) | Yes |
68
- | Waste | Adverse effects associated with the generation and disposal of waste | Categorized as hazardous or non-hazardous by disposal method (landfill, incineration, unspecified) | Kilograms (kg) | Yes |
69
- | Water Consumption | Factors related to water consumption | Factors such as malnutrition, water-borne diseases, resource costs, and ecosystem effects | Cubic meters (m³) | Yes |
70
- | Water Pollution | Impacts caused by polluting water systems divided by pollutant and setting | 104 pollutants including phosphorus, nitrogen, heavy metals, pesticides, and pharmaceuticals | Kilograms (kg) | Yes |
71
-
72
-
73
- ---
74
-
75
- # Download Links - Value Factors By Methodology (CSV)
76
-
77
- | Title | Format | Link |
78
- |---------------------|--------|-------------------------------------------------------------------------------------------------------|
79
- | Air Pollution | CSV | [![Download](https://img.shields.io/badge/Download-Air_Pollution-blue?style=flat-square)](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/resolve/main/data/csv/by-methodology/airpollution.csv) |
80
- | GHG Emissions | CSV | [![Download](https://img.shields.io/badge/Download-GHG_Emissions-blue?style=flat-square)](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/resolve/main/data/csv/by-methodology/ghgs.csv) |
81
- | Land Conversion | CSV | [![Download](https://img.shields.io/badge/Download-Land_Conversion-blue?style=flat-square)](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/resolve/main/data/csv/by-methodology/land-conversion.csv) |
82
- | Land Use | CSV | [![Download](https://img.shields.io/badge/Download-Land_Use-blue?style=flat-square)](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/resolve/main/data/csv/by-methodology/land-use.csv) |
83
- | Waste | CSV | [![Download](https://img.shields.io/badge/Download-Waste-blue?style=flat-square)](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/resolve/main/data/csv/by-methodology/waste.csv) |
84
- | Water Consumption | CSV | [![Download](https://img.shields.io/badge/Download-Water_Consumption-blue?style=flat-square)](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/resolve/main/data/csv/by-methodology/water-consumption.csv) |
85
- | Water Pollution | CSV | [![Download](https://img.shields.io/badge/Download-Water_Pollution-blue?style=flat-square)](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/resolve/main/data/csv/by-methodology/water-pollution.csv) |
86
-
87
- # Download Links - By Value Factor (JSON)
88
-
89
- These data files group together value factors by each of the major methodology groups in the data release.
90
-
91
- | Methodology | Download Link |
92
- |-------------------|--------------------------------------------------------------------------------------------------------------------------|
93
- | Air Pollution | [![Download JSON](https://img.shields.io/badge/Download-JSON-blue?logo=JSON&style=flat-square)](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/resolve/main/data/by-methodology-by-country/airpollution.json) |
94
- | GHGs | [![Download JSON](https://img.shields.io/badge/Download-JSON-blue?logo=JSON&style=flat-square)](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/resolve/main/data/by-methodology-by-country/ghgs.json) |
95
- | Land Use | [![Download JSON](https://img.shields.io/badge/Download-JSON-blue?logo=JSON&style=flat-square)](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/resolve/main/data/by-methodology-by-country/land_use.json) |
96
- | Land Conversion | [![Download JSON](https://img.shields.io/badge/Download-JSON-blue?logo=JSON&style=flat-square)](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/resolve/main/data/by-methodology-by-country/landconversion.json) |
97
- | Waste | [![Download JSON](https://img.shields.io/badge/Download-JSON-blue?logo=JSON&style=flat-square)](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/resolve/main/data/by-methodology-by-country/waste.json) |
98
- | Water Consumption | [![Download JSON](https://img.shields.io/badge/Download-JSON-blue?logo=JSON&style=flat-square)](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/resolve/main/data/by-methodology-by-country/water-consumption.json) |
99
- | Water Pollution | [![Download JSON](https://img.shields.io/badge/Download-JSON-blue?logo=JSON&style=flat-square)](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/resolve/main/data/by-methodology-by-country/water-pollution.json) |
100
-
101
-
102
-
103
- # Download Links - Value Factors By Country (Composite / All Methodologies)
104
-
105
- Hierarchical JSON representation of value factors: by methodology, by country, then by category, impact and finally to individual factors.
106
-
107
- | Country | Continent | Download Link | ISO 3166-1 Alpha-3 | ISO 3166-1 Alpha-2 |
108
- |---------|-----------|---------------|--------------------|--------------------|
109
- | Algeria | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Algeria.json) | DZA | DZ |
110
- | Angola | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Angola.json) | AGO | AO |
111
- | Benin | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Benin.json) | BEN | BJ |
112
- | Botswana | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Botswana.json) | BWA | BW |
113
- | Burkina Faso | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Burkina%20Faso.json) | BFA | BF |
114
- | Burundi | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Burundi.json) | BDI | BI |
115
- | Cabo Verde | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Cabo%20Verde.json) | CPV | CV |
116
- | Cameroon | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Cameroon.json) | CMR | CM |
117
- | Central African Republic | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Central%20African%20Republic.json) | CAF | CF |
118
- | Chad | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Chad.json) | TCD | TD |
119
- | Comoros | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Comoros.json) | COM | KM |
120
- | Democratic Republic of the Congo | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Democratic%20Republic%20of%20the%20Congo.json) | COD | CD |
121
- | Djibouti | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Djibouti.json) | DJI | DJ |
122
- | Egypt | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Egypt.json) | EGY | EG |
123
- | Equatorial Guinea | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Equatorial%20Guinea.json) | GNQ | GQ |
124
- | Eritrea | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Eritrea.json) | ERI | ER |
125
- | Eswatini | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Eswatini.json) | SWZ | SZ |
126
- | Ethiopia | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Ethiopia.json) | ETH | ET |
127
- | Gabon | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Gabon.json) | GAB | GA |
128
- | Gambia | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Gambia.json) | GMB | GM |
129
- | Ghana | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Ghana.json) | GHA | GH |
130
- | Guinea-Bissau | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Guinea-Bissau.json) | GNB | GW |
131
- | Guinea | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Guinea.json) | GIN | GN |
132
- | Kenya | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Kenya.json) | KEN | KE |
133
- | Lesotho | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Lesotho.json) | LSO | LS |
134
- | Liberia | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Liberia.json) | LBR | LR |
135
- | Libya | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Libya.json) | LBY | LY |
136
- | Madagascar | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Madagascar.json) | MDG | MG |
137
- | Malawi | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Malawi.json) | MWI | MW |
138
- | Mali | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Mali.json) | MLI | ML |
139
- | Mauritania | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Mauritania.json) | MRT | MR |
140
- | Mauritius | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Mauritius.json) | MUS | MU |
141
- | Morocco | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Morocco.json) | MAR | MA |
142
- | Mozambique | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Mozambique.json) | MOZ | MZ |
143
- | Namibia | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Namibia.json) | NAM | NA |
144
- | Niger | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Niger.json) | NER | NE |
145
- | Nigeria | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Nigeria.json) | NGA | NG |
146
- | Republic of the Congo | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Republic%20of%20the%20Congo.json) | COG | CG |
147
- | Rwanda | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Rwanda.json) | RWA | RW |
148
- | Sao Tome and Principe | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Sao%20Tome%20and%20Principe.json) | STP | ST |
149
- | Senegal | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Senegal.json) | SEN | SN |
150
- | Seychelles | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Seychelles.json) | SYC | SC |
151
- | Sierra Leone | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Sierra%20Leone.json) | SLE | SL |
152
- | Somalia | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Somalia.json) | SOM | SO |
153
- | South Africa | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/South%20Africa.json) | ZAF | ZA |
154
- | South Sudan | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/South%20Sudan.json) | SSD | SS |
155
- | Sudan | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Sudan.json) | SDN | SD |
156
- | Tanzania | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Tanzania.json) | TZA | TZ |
157
- | Togo | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Togo.json) | TGO | TG |
158
- | Tunisia | Africa | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Africa/Tunisia.json) | TUN | TN |
159
- | Afghanistan | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Afghanistan.json) | AFG | AF |
160
- | Armenia | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Armenia.json) | ARM | AM |
161
- | Azerbaijan | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Azerbaijan.json) | AZE | AZ |
162
- | Bahrain | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Bahrain.json) | BHR | BH |
163
- | Bangladesh | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Bangladesh.json) | BGD | BD |
164
- | Bhutan | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Bhutan.json) | BTN | BT |
165
- | Brunei Darussalam | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Brunei%20Darussalam.json) | BRN | BN |
166
- | Cambodia | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Cambodia.json) | KHM | KH |
167
- | China | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/China.json) | CHN | CN |
168
- | Cyprus | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Cyprus.json) | CYP | CY |
169
- | Georgia | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Georgia.json) | GEO | GE |
170
- | Hong Kong SAR | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Hong%20Kong%20SAR.json) | HKG | HK |
171
- | India | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/India.json) | IND | IN |
172
- | Indonesia | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Indonesia.json) | IDN | ID |
173
- | Iran | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Iran.json) | IRN | IR |
174
- | Iraq | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Iraq.json) | IRQ | IQ |
175
- | Israel | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Israel.json) | ISR | IL |
176
- | Japan | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Japan.json) | JPN | JP |
177
- | Jordan | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Jordan.json) | JOR | JO |
178
- | Kazakhstan | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Kazakhstan.json) | KAZ | KZ |
179
- | Kuwait | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Kuwait.json) | KWT | KW |
180
- | Kyrgyz Republic | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Kyrgyz%20Republic.json) | KGZ | KG |
181
- | Lao | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Lao.json) | LAO | LA |
182
- | Lebanon | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Lebanon.json) | LBN | LB |
183
- | Macao | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Macao.json) | MAC | MO |
184
- | Malaysia | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Malaysia.json) | MYS | MY |
185
- | Maldives | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Maldives.json) | MDV | MV |
186
- | Mongolia | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Mongolia.json) | MNG | MN |
187
- | Myanmar | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Myanmar.json) | MMR | MM |
188
- | Nepal | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Nepal.json) | NPL | NP |
189
- | North Korea | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/North%20Korea.json) | PRK | KP |
190
- | Oman | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Oman.json) | OMN | OM |
191
- | Pakistan | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Pakistan.json) | PAK | PK |
192
- | Philippines | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Philippines.json) | PHL | PH |
193
- | Qatar | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Qatar.json) | QAT | QA |
194
- | Saudi Arabia | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Saudi%20Arabia.json) | SAU | SA |
195
- | Singapore | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Singapore.json) | SGP | SG |
196
- | South Korea | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/South%20Korea.json) | KOR | KR |
197
- | Sri Lanka | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Sri%20Lanka.json) | LKA | LK |
198
- | Syria | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Syria.json) | SYR | SY |
199
- | Taiwan | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Taiwan.json) | TWN | TW |
200
- | Tajikistan | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Tajikistan.json) | TJK | TJ |
201
- | Thailand | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Thailand.json) | THA | TH |
202
- | Timor-Leste | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Timor-Leste.json) | TLS | TL |
203
- | Turkiye | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Turkiye.json) | TUR | TR |
204
- | Turkmenistan | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Turkmenistan.json) | TKM | TM |
205
- | United Arab Emirates | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/United%20Arab%20Emirates.json) | ARE | AE |
206
- | Uzbekistan | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Uzbekistan.json) | UZB | UZ |
207
- | Vietnam | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/Vietnam.json) | VNM | VN |
208
- | West Bank and Gaza | Asia | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Asia/West%20Bank%20and%20Gaza.json) | PSE | PS |
209
- | Albania | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Albania.json) | ALB | AL |
210
- | Andorra | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Andorra.json) | AND | AD |
211
- | Austria | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Austria.json) | AUT | AT |
212
- | Belarus | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Belarus.json) | BLR | BY |
213
- | Belgium | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Belgium.json) | BEL | BE |
214
- | Bosnia and Herzegovina | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Bosnia%20and%20Herzegovina.json) | BIH | BA |
215
- | Bulgaria | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Bulgaria.json) | BGR | BG |
216
- | Channel Islands | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Channel%20Islands.json) | | |
217
- | Croatia | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Croatia.json) | HRV | HR |
218
- | Czechia | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Czechia.json) | CZE | CZ |
219
- | Denmark | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Denmark.json) | DNK | DK |
220
- | Estonia | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Estonia.json) | EST | EE |
221
- | Faroe Islands | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Faroe%20Islands.json) | FRO | FO |
222
- | Finland | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Finland.json) | FIN | FI |
223
- | France | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/France.json) | FRA | FR |
224
- | Germany | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Germany.json) | DEU | DE |
225
- | Gibraltar | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Gibraltar.json) | GIB | GI |
226
- | Greece | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Greece.json) | GRC | GR |
227
- | Greenland | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Greenland.json) | GRL | GL |
228
- | Hungary | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Hungary.json) | HUN | HU |
229
- | Iceland | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Iceland.json) | ISL | IS |
230
- | Ireland | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Ireland.json) | IRL | IE |
231
- | Isle of Man | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Isle%20of%20Man.json) | IMN | IM |
232
- | Italy | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Italy.json) | ITA | IT |
233
- | Kosovo | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Kosovo.json) | | |
234
- | Latvia | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Latvia.json) | LVA | LV |
235
- | Liechtenstein | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Liechtenstein.json) | LIE | LI |
236
- | Lithuania | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Lithuania.json) | LTU | LT |
237
- | Luxembourg | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Luxembourg.json) | LUX | LU |
238
- | Malta | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Malta.json) | MLT | MT |
239
- | Moldova | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Moldova.json) | MDA | MD |
240
- | Monaco | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Monaco.json) | MCO | MC |
241
- | Montenegro | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Montenegro.json) | MNE | ME |
242
- | Netherlands | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Netherlands.json) | NLD | NL |
243
- | North Macedonia | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/North%20Macedonia.json) | MKD | MK |
244
- | Norway | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Norway.json) | NOR | NO |
245
- | Poland | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Poland.json) | POL | PL |
246
- | Portugal | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Portugal.json) | PRT | PT |
247
- | Romania | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Romania.json) | ROU | RO |
248
- | Russian Federation | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Russian%20Federation.json) | RUS | RU |
249
- | San Marino | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/San%20Marino.json) | SMR | SM |
250
- | Serbia | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Serbia.json) | SRB | RS |
251
- | Slovak Republic | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Slovak%20Republic.json) | SVK | SK |
252
- | Slovenia | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Slovenia.json) | SVN | SI |
253
- | Spain | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Spain.json) | ESP | ES |
254
- | Sweden | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Sweden.json) | SWE | SE |
255
- | Switzerland | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Switzerland.json) | CHE | CH |
256
- | Ukraine | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/Ukraine.json) | UKR | UA |
257
- | United Kingdom | Europe | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Europe/United%20Kingdom.json) | GBR | GB |
258
- | Antigua and Barbuda | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/Antigua%20and%20Barbuda.json) | ATG | AG |
259
- | Aruba | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/Aruba.json) | ABW | AW |
260
- | Bahamas | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/Bahamas.json) | BHS | BS |
261
- | Barbados | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/Barbados.json) | BRB | BB |
262
- | Belize | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/Belize.json) | BLZ | BZ |
263
- | Bermuda | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/Bermuda.json) | BMU | BM |
264
- | British Virgin Islands | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/British%20Virgin%20Islands.json) | VGB | VG |
265
- | Canada | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/Canada.json) | CAN | CA |
266
- | Cayman Islands | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/Cayman%20Islands.json) | CYM | KY |
267
- | Costa Rica | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/Costa%20Rica.json) | CRI | CR |
268
- | Cuba | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/Cuba.json) | CUB | CU |
269
- | Curacao | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/Curacao.json) | CUW | CW |
270
- | Dominica | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/Dominica.json) | DMA | DM |
271
- | Dominican Republic | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/Dominican%20Republic.json) | DOM | DO |
272
- | El Salvador | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/El%20Salvador.json) | SLV | SV |
273
- | Grenada | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/Grenada.json) | GRD | GD |
274
- | Guatemala | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/Guatemala.json) | GTM | GT |
275
- | Haiti | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/Haiti.json) | HTI | HT |
276
- | Honduras | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/Honduras.json) | HND | HN |
277
- | Jamaica | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/Jamaica.json) | JAM | JM |
278
- | Mexico | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/Mexico.json) | MEX | MX |
279
- | Nicaragua | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/Nicaragua.json) | NIC | NI |
280
- | Panama | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/Panama.json) | PAN | PA |
281
- | Puerto Rico | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/Puerto%20Rico.json) | PRI | PR |
282
- | St. Kitts and Nevis | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/St.%20Kitts%20and%20Nevis.json) | KNA | KN |
283
- | St. Lucia | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/St.%20Lucia.json) | LCA | LC |
284
- | St. Maarten (Dutch part) | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/St.%20Maarten%20(Dutch%20part).json) | SXM | SX |
285
- | St. Martin (French part) | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/St.%20Martin%20(French%20part).json) | MAF | MF |
286
- | St. Vincent and the Grenadines | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/St.%20Vincent%20and%20the%20Grenadines.json) | VCT | VC |
287
- | Trinidad and Tobago | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/Trinidad%20and%20Tobago.json) | TTO | TT |
288
- | Turks and Caicos Islands | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/Turks%20and%20Caicos%20Islands.json) | TCA | TC |
289
- | United States | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/United%20States.json) | USA | US |
290
- | Virgin Islands (U.S.) | North America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/North%20America/Virgin%20Islands%20(U.S.).json) | VIR | VI |
291
- | American Samoa | Oceania | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Oceania/American%20Samoa.json) | ASM | AS |
292
- | Australia | Oceania | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Oceania/Australia.json) | AUS | AU |
293
- | Fiji | Oceania | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Oceania/Fiji.json) | FJI | FJ |
294
- | French Polynesia | Oceania | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Oceania/French%20Polynesia.json) | PYF | PF |
295
- | Guam | Oceania | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Oceania/Guam.json) | GUM | GU |
296
- | Kiribati | Oceania | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Oceania/Kiribati.json) | KIR | KI |
297
- | Marshall Islands | Oceania | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Oceania/Marshall%20Islands.json) | MHL | MH |
298
- | Micronesia | Oceania | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Oceania/Micronesia.json) | FSM | FM |
299
- | Nauru | Oceania | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Oceania/Nauru.json) | NRU | NR |
300
- | New Caledonia | Oceania | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Oceania/New%20Caledonia.json) | NCL | NC |
301
- | New Zealand | Oceania | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Oceania/New%20Zealand.json) | NZL | NZ |
302
- | Northern Mariana Islands | Oceania | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Oceania/Northern%20Mariana%20Islands.json) | MNP | MP |
303
- | Palau | Oceania | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Oceania/Palau.json) | PLW | PW |
304
- | Papua New Guinea | Oceania | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Oceania/Papua%20New%20Guinea.json) | PNG | PG |
305
- | Samoa | Oceania | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Oceania/Samoa.json) | WSM | WS |
306
- | Solomon Islands | Oceania | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Oceania/Solomon%20Islands.json) | SLB | SB |
307
- | Tonga | Oceania | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Oceania/Tonga.json) | TON | TO |
308
- | Tuvalu | Oceania | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Oceania/Tuvalu.json) | TUV | TV |
309
- | Vanuatu | Oceania | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/Oceania/Vanuatu.json) | VUT | VU |
310
- | Argentina | South America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/South%20America/Argentina.json) | ARG | AR |
311
- | Bolivia | South America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/South%20America/Bolivia.json) | BOL | BO |
312
- | Brazil | South America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/South%20America/Brazil.json) | BRA | BR |
313
- | Chile | South America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/South%20America/Chile.json) | CHL | CL |
314
- | Colombia | South America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/South%20America/Colombia.json) | COL | CO |
315
- | Ecuador | South America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/South%20America/Ecuador.json) | ECU | EC |
316
- | Guyana | South America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/South%20America/Guyana.json) | GUY | GY |
317
- | Paraguay | South America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/South%20America/Paraguay.json) | PRY | PY |
318
- | Peru | South America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/South%20America/Peru.json) | PER | PE |
319
- | Suriname | South America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/South%20America/Suriname.json) | SUR | SR |
320
- | Uruguay | South America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/South%20America/Uruguay.json) | URY | UY |
321
- | Venezuela | South America | [Download](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv/blob/main/data/by-territory/by-continent/South%20America/Venezuela.json) | VEN | VE |
322
-
323
- ---
324
-
325
- # Links To Supporting Documents And Guides, IFVI Website
326
-
327
- Please note:
328
-
329
- These links were aggregated on 20/12/24.
330
-
331
- The IFVI's consultative processes are ongoing and these links may change in the future.
332
-
333
- For the latest versions of the interim methodologies, comment forms, and technical manuals refer to the IFVI website at [ifvi.org](https://www.ifvi.org)
334
-
335
- # GHG Emissions Methodology
336
-
337
- | Title | Link |
338
- |---------------------------|---------------------------------------------------------------------------------------|
339
- | Methodology Paper | [![Open Link](https://img.shields.io/badge/Open-Link-blue)](https://share.hsforms.com/1yn-WjRi3SbqxEBKPesJ-Kwqaucq) |
340
- | Implementation Guide | [![Open Link](https://img.shields.io/badge/Open-Link-blue)](https://ifvi.org/wp-content/uploads/2024/11/IFVI-VBA_GHG_-Implementation-Guide.pdf) |
341
- | Basis For Conclusions | [![Open Link](https://img.shields.io/badge/Open-Link-blue)](https://ifvi.org/wp-content/uploads/2024/09/IFVI_VBA_Environmental-Methodology-1_GHG-Topic-Methodology_Basis-for-Conclusions.pdf) |
342
-
343
- # Water Consumption Methodology
344
-
345
- | Title | Link |
346
- |-------------------------------------------|---------------------------------------------------------------------------------------|
347
- | Exposure Draft | [![Open Link](https://img.shields.io/badge/Open-Link-blue)](https://ifvi.org/wp-content/uploads/2024/09/IFVI_VBA_Exposure-DRAFT_Water-Consumption-Topic-Methodology.pdf) |
348
- | Public Comment Feedback Summary (XLSX) | [![Open Link](https://img.shields.io/badge/Open-Link-blue)](https://ifvi.org/wp-content/uploads/2024/12/IFVI_VBA_Public-Comment-Feedback_Water-Consumption-Topic-Methodology.xlsx) |
349
-
350
- # Other Methodologies
351
-
352
- | Title | Link |
353
- |-------------------------------------------|---------------------------------------------------------------------------------------|
354
- | Download form for methodologies | [![Open Link](https://img.shields.io/badge/Open-Link-blue)](https://ifvi.org/methodology/environmental-topic-methodology/interim-methodologies/download-form-interim-methodology/) |
355
- | Download form for models and technical manuals | [![Open Link](https://img.shields.io/badge/Open-Link-blue)](https://ifvi.org/methodology/environmental-topic-methodology/interim-methodologies/download-form-interim-models-and-technical-manuals/) |
356
-
357
- ---
358
-
359
- # Value Factors - Use Case Descriptions
360
-
361
  ## Impact Accounting
362
 
363
  ![alt text](images/graphics/1.png)
 
34
 
35
  ## Download Statistics
36
 
37
+ ```
38
+ mermaid
39
  graph TD
40
+ subgraph Download Statistics
41
+ 2025-01-05["2025-01-05: 275 downloads"]
42
+ end
43
+ ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
44
  ## Impact Accounting
45
 
46
  ![alt text](images/graphics/1.png)
daily_downloads.csv ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ Date,Total Downloads
2
+ 2025-01-05,275
3
+ 2025-01-05,275
4
+ 2025-01-05,275