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Add all-adopters config, untruncate comparison group, shorten title, add access section

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all-adopters holds the full 14,697 detected adopters. The comparison group is restored to its full 10,938 rows now that neither side needs truncating. default is unchanged for existing users.

Files changed (3) hide show
  1. All-Adopters.csv +0 -0
  2. Commercial-CA-Comparison.csv +0 -0
  3. README.md +42 -16
All-Adopters.csv ADDED
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Commercial-CA-Comparison.csv CHANGED
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README.md CHANGED
@@ -1,5 +1,5 @@
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  ---
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- pretty_name: "Let's Encrypt Adoption Among 5,000 Large Companies and Organizations"
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  license: cc-by-4.0
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  tags:
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  - cybersecurity
@@ -24,13 +24,17 @@ configs:
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  data_files:
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  - split: train
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  path: Lets-Encrypt.csv
 
 
 
 
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  - config_name: commercial-ca-comparison
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  data_files:
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  - split: train
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  path: Commercial-CA-Comparison.csv
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  ---
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- # Let's Encrypt Adoption Among 5,000 Large Companies and Organizations
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  ## Overview
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@@ -59,7 +63,23 @@ Let's Encrypt is a free, automated, and open Certificate Authority that provides
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  ## Dataset Fields
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- The adopter data is in `Lets-Encrypt.csv`: 5,050 rows, 15 columns. Coverage is the share of rows where the field is populated.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  | Column | Type | Coverage | Description |
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  | ------ | ---- | -------- | ----------- |
@@ -83,26 +103,26 @@ The language and social columns are populated for fewer than 1% of rows.
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  ## Comparison Group
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- `Commercial-CA-Comparison.csv` holds 7,138 large organizations that were found using a commercial certificate authority and were not found using Let's Encrypt. It is there so the adopter file can be measured against something rather than read on its own.
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- It was built with the same filters as the adopter file: 5,001 or more employees, company information required, collected August 2026. It is also restricted to the same website popularity range, so neither file is truncated against the other. The two files share no domains.
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- Columns are the 15 above plus `Certificate Authority`, naming the authority or authorities detected. 833 organizations were detected with more than one, written pipe separated.
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  | Certificate authority | Organizations | Share |
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  | --------------------- | ------------- | ----- |
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- | DigiCert | 3,484 | 48.8% |
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- | GlobalSign | 2,691 | 37.7% |
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- | Sectigo | 1,445 | 20.2% |
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- | GoDaddy SSL | 385 | 5.4% |
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-
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- Load it with `load_dataset("stackscan/lets-encrypt", "commercial-ca-comparison")`. The default config remains the Let's Encrypt file.
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  ### What the comparison supports
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  It supports asking how Let's Encrypt adopters differ from large organizations that buy commercial certificates, across industry, country, size and founding year.
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- It does not give an adoption rate. That would need a denominator of all large organizations, which neither file provides. Any percentage computed by dividing one file by the other is meaningless.
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  Organizations can use more than one certificate authority. Those found with both Let's Encrypt and a commercial authority were removed from the comparison file, so the two groups stay separate at the cost of not representing mixed estates.
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@@ -132,7 +152,7 @@ This dataset can be used for:
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  * Website infrastructure can change over time.
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  * Results represent observations made in August 2026.
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  * The dataset should not be interpreted as an official statement from any company regarding its technology stack.
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- * Every row of `Lets-Encrypt.csv` is an adopter. `Commercial-CA-Comparison.csv` provides a matched group that does not use Let's Encrypt, which supports comparison between the two but still does not support an adoption rate.
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  ## Citation
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@@ -140,14 +160,14 @@ If you use this dataset, please credit StackScan and link to the source page.
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  Plain text:
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- StackScan. (2026). *Let's Encrypt Adoption Among 5,000 Large Companies and Organizations* (data collected August 2026) [Data set]. StackScan. https://www.stackscan.com/technology/lets-encrypt
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  BibTeX:
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  ```bibtex
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  @misc{stackscan_lets_encrypt_2026,
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  author = {{StackScan}},
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- title = {Let's Encrypt Adoption Among 5,000 Large Companies and Organizations},
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  year = {2026},
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  month = {aug},
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  publisher = {StackScan},
@@ -158,6 +178,12 @@ BibTeX:
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  Source page: [Let's Encrypt usage statistics](https://www.stackscan.com/technology/lets-encrypt).
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  ## License
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  Released under [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/). You are free to share and adapt the data, including commercially, provided you give appropriate credit.
 
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  ---
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+ pretty_name: "Let's Encrypt Adoption Among Large Companies and Organizations"
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  license: cc-by-4.0
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  tags:
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  - cybersecurity
 
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  data_files:
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  - split: train
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  path: Lets-Encrypt.csv
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+ - config_name: all-adopters
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+ data_files:
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+ - split: train
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+ path: All-Adopters.csv
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  - config_name: commercial-ca-comparison
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  data_files:
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  - split: train
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  path: Commercial-CA-Comparison.csv
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  ---
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+ # Let's Encrypt Adoption Among Large Companies and Organizations
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  ## Overview
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  ## Dataset Fields
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+ Three files share the same 15 columns. The comparison file adds a sixteenth.
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+
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+ | Config | File | Rows | Contents |
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+ | ------ | ---- | ---- | -------- |
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+ | `default` | `Lets-Encrypt.csv` | 5,050 | The most popular adopters, by website popularity rank |
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+ | `all-adopters` | `All-Adopters.csv` | 14,697 | Every adopter detected, including the 5,050 above |
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+ | `commercial-ca-comparison` | `Commercial-CA-Comparison.csv` | 10,938 | Organizations using a commercial certificate authority and not Let's Encrypt |
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+
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+ ```python
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+ load_dataset("stackscan/lets-encrypt") # 5,050
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+ load_dataset("stackscan/lets-encrypt", "all-adopters") # 14,697
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+ load_dataset("stackscan/lets-encrypt", "commercial-ca-comparison") # 10,938
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+ ```
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+
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+ `default` is kept for anyone already loading this dataset. For analysis, use `all-adopters`, because `default` is cut by website popularity and that cut is not neutral: it leans toward organizations in the United States and Germany, and toward government, retail and healthcare, relative to the full set.
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+
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+ Coverage below is for `Lets-Encrypt.csv`. It is a little lower in the full set, where `Year Founded` is 68.4% and `Locality` 78.6%, because less popular websites carry less firmographic detail.
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  | Column | Type | Coverage | Description |
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  | ------ | ---- | -------- | ----------- |
 
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  ## Comparison Group
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+ `Commercial-CA-Comparison.csv` holds 10,938 large organizations that were found using a commercial certificate authority and were not found using Let's Encrypt. It is there so the adopter data can be measured against something rather than read on its own.
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+ It was built with the same filters as the adopter data: 5,001 or more employees, company information required, collected August 2026. The two groups share no domains.
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+ Columns are the 15 above plus `Certificate Authority`, naming the authority or authorities detected. 971 organizations were detected with more than one, written pipe separated.
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  | Certificate authority | Organizations | Share |
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  | --------------------- | ------------- | ----- |
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+ | DigiCert | 4,787 | 43.8% |
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+ | GlobalSign | 3,449 | 31.5% |
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+ | Sectigo | 2,625 | 24.0% |
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+ | GoDaddy SSL | 1,089 | 10.0% |
 
 
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  ### What the comparison supports
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+ Compare it against `all-adopters`, not against `default`. Both are complete populations under the same filters. `default` is truncated by website popularity, so comparing it to this file would measure that truncation as much as anything about certificates.
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+
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  It supports asking how Let's Encrypt adopters differ from large organizations that buy commercial certificates, across industry, country, size and founding year.
124
 
125
+ It does not give an adoption rate. That would need a denominator of all large organizations, which no file here provides. Any percentage computed by dividing one file by another is meaningless.
126
 
127
  Organizations can use more than one certificate authority. Those found with both Let's Encrypt and a commercial authority were removed from the comparison file, so the two groups stay separate at the cost of not representing mixed estates.
128
 
 
152
  * Website infrastructure can change over time.
153
  * Results represent observations made in August 2026.
154
  * The dataset should not be interpreted as an official statement from any company regarding its technology stack.
155
+ * Every row of the adopter files is an adopter. `Commercial-CA-Comparison.csv` provides a matched group that does not use Let's Encrypt, which supports comparison between the two but still does not support an adoption rate.
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  ## Citation
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160
 
161
  Plain text:
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+ StackScan. (2026). *Let's Encrypt Adoption Among Large Companies and Organizations* (data collected August 2026) [Data set]. StackScan. https://www.stackscan.com/technology/lets-encrypt
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165
  BibTeX:
166
 
167
  ```bibtex
168
  @misc{stackscan_lets_encrypt_2026,
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  author = {{StackScan}},
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+ title = {Let's Encrypt Adoption Among Large Companies and Organizations},
171
  year = {2026},
172
  month = {aug},
173
  publisher = {StackScan},
 
178
 
179
  Source page: [Let's Encrypt usage statistics](https://www.stackscan.com/technology/lets-encrypt).
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+ ## Access to More Data
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+
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+ The files in this repository are CC BY 4.0 and free for anyone to use, including commercially. No request or permission is needed.
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+
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+ StackScan also provides free access to larger and custom datasets for data journalists, academic researchers, non-profits and other organizations working on non-commercial projects. Ask through [stackscan.com](https://www.stackscan.com/technology/lets-encrypt).
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+
187
  ## License
188
 
189
  Released under [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/). You are free to share and adapt the data, including commercially, provided you give appropriate credit.