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Correct scope: 5,000 large companies and organizations, not a top-5,000 ranking

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  1. README.md +15 -12
README.md CHANGED
@@ -1,5 +1,5 @@
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  ---
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- pretty_name: "Let's Encrypt Adoption Among the Top 5,000 Companies"
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  license: cc-by-4.0
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  tags:
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  - cybersecurity
@@ -21,11 +21,13 @@ size_categories:
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  - 1K<n<10K
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  ---
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- # Let's Encrypt Adoption Among the Top 5,000 Companies
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  ## Overview
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- This dataset lists 5,050 large companies whose websites were found to use SSL/TLS certificates issued by Let's Encrypt. Each row carries firmographic context for the company: industry, employee band, country, locality, founding year and LinkedIn profile.
 
 
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  It is intended for technology research, cybersecurity analysis, technographic research, competitive intelligence, market analysis and data science.
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@@ -33,10 +35,11 @@ Full Let's Encrypt statistics, including the global heatmap, usage by country an
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  ## Dataset Highlights
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- * 5,050 companies, one row each, with no repeated domains
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- * Every company in the file uses Let's Encrypt, so there is no adoption column. Adoption is the selection criterion
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- * Every company has 5,001 or more employees
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  * 142 industries and 140 countries represented
 
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  ## What is Let's Encrypt?
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@@ -48,7 +51,7 @@ The data is in `Lets-Encrypt.csv`: 5,050 rows, 15 columns. Coverage is the share
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  | Column | Type | Coverage | Description |
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  | ------ | ---- | -------- | ----------- |
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- | `Popularity Rank` | int64 | 100% | Website popularity rank, lower being more popular. Ranges from 5 to 1,959,064 |
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  | `Domain` | string | 100% | Primary website domain. Unique across the file |
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  | `Company Name` | string | 100% | Company or organization name, lowercased |
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  | `Company Size` | string | 100% | Employee band. Two values: `5001-10000` (2,245 rows) and `10001+` (2,805 rows) |
@@ -56,7 +59,7 @@ The data is in `Lets-Encrypt.csv`: 5,050 rows, 15 columns. Coverage is the share
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  | `Industry` | string | 99.7% | Industry label, lowercased. 142 distinct values |
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  | `LinkedIn URL` | string | 100% | Company LinkedIn profile path |
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  | `Locality` | string | 85.1% | City or region, where available |
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- | `Country` | string | 100% | Company or website country. 140 distinct values |
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  | `TLD` | string | 100% | Top-level domain. 355 distinct values |
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  | `Language` | string | 0.6% | Detected site language |
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  | `Instagram` | string | 0.4% | Instagram handle |
@@ -68,7 +71,7 @@ The language and social columns are populated for fewer than 1% of rows.
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  ## Methodology
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- Websites were analyzed for technical fingerprints associated with Let's Encrypt. A company is considered a Let's Encrypt adopter when the relevant certificate or technology footprint is detected on its associated website.
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  Technology detection represents an observation at the time of collection and should not be interpreted as confirmation of an organization's complete infrastructure.
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@@ -92,7 +95,7 @@ This dataset can be used for:
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  * Website infrastructure can change over time.
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  * Results represent observations from the dataset's collection period.
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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 is an adopter, so the file describes what Let's Encrypt adopters look like. Measuring what share of large companies use Let's Encrypt would require a comparable sample of non-adopters, which is not included here.
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  ## Citation
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@@ -100,14 +103,14 @@ 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 the Top 5,000 Companies* [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 the Top 5,000 Companies},
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  year = {2026},
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  publisher = {StackScan},
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  howpublished = {\url{https://www.stackscan.com/technology/lets-encrypt}},
 
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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:
5
  - cybersecurity
 
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  - 1K<n<10K
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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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+ This dataset lists 5,050 large companies and organizations whose websites were found to use SSL/TLS certificates issued by Let's Encrypt. Each row carries firmographic context: industry, employee band, country, locality, founding year and LinkedIn profile.
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+
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+ The file is a sample of large organizations that use Let's Encrypt. It is not a ranking, and it is not the 5,000 largest or most popular organizations in the world.
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  It is intended for technology research, cybersecurity analysis, technographic research, competitive intelligence, market analysis and data science.
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  ## Dataset Highlights
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+ * 5,050 organizations, one row each, with no repeated domains
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+ * Every organization in the file uses Let's Encrypt, so there is no adoption column. Adoption is the selection criterion
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+ * Every organization has 5,001 or more employees
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  * 142 industries and 140 countries represented
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+ * Not only private companies: 1,120 rows (22%) are government bodies, universities, schools, non-profits and similar institutions
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  ## What is Let's Encrypt?
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  | Column | Type | Coverage | Description |
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  | ------ | ---- | -------- | ----------- |
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+ | `Popularity Rank` | int64 | 100% | Website popularity rank, lower being more popular. Ranges from 5 to 1,959,064. Rows are stored in ascending rank order |
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  | `Domain` | string | 100% | Primary website domain. Unique across the file |
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  | `Company Name` | string | 100% | Company or organization name, lowercased |
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  | `Company Size` | string | 100% | Employee band. Two values: `5001-10000` (2,245 rows) and `10001+` (2,805 rows) |
 
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  | `Industry` | string | 99.7% | Industry label, lowercased. 142 distinct values |
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  | `LinkedIn URL` | string | 100% | Company LinkedIn profile path |
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  | `Locality` | string | 85.1% | City or region, where available |
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+ | `Country` | string | 100% | Organization or website country. 140 distinct values |
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  | `TLD` | string | 100% | Top-level domain. 355 distinct values |
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  | `Language` | string | 0.6% | Detected site language |
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  | `Instagram` | string | 0.4% | Instagram handle |
 
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  ## Methodology
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+ Websites were analyzed for technical fingerprints associated with Let's Encrypt. An organization is considered a Let's Encrypt adopter when the relevant certificate or technology footprint is detected on its associated website.
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  Technology detection represents an observation at the time of collection and should not be interpreted as confirmation of an organization's complete infrastructure.
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  * Website infrastructure can change over time.
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  * Results represent observations from the dataset's collection period.
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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 is an adopter, so the file describes what Let's Encrypt adopters look like. Measuring what share of large organizations use Let's Encrypt would require a comparable sample of non-adopters, which is not included here.
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  ## Citation
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  Plain text:
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+ StackScan. (2026). *Let's Encrypt Adoption Among 5,000 Large Companies and Organizations* [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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  publisher = {StackScan},
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  howpublished = {\url{https://www.stackscan.com/technology/lets-encrypt}},