This dataset is about universities in Stanford. It has 1 row. It features 3 columns: country, and graduate students.

Usage

Dataset added at the request of Lingyu Gu, a PhD student of Suzie Noh, to be used to aggregate the Yodlee dataset at different geographical levels. Contains County Fips, Census Block and Lat/Lon data points.

The data was provided to the GSB library by Lingyu Gu and added at her request to Redivis by Matt Hutchinson.

This dataset is about universities in Stanford. It has 1 row. It features 3 columns: domain, and graduate students.

This dataset is about universities in Stanford. It has 1 row. It features 3 columns: ranking, and graduate students.

This bar chart displays graduate students (people) by universities using the aggregation sum in Stanford. The data is about universities.

Explore the progression of average salaries for graduates in Stanford Graduate School Of Business from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Stanford Graduate School Of Business relative to other fields. This data is essential for students assessing the return on investment of their education in Stanford Graduate School Of Business, providing a clear picture of financial prospects post-graduation.

Abstract

This dataset reflects the current (updated weekly) set of EDGAR filings available on the Yens at /zfs/data/NODR/EDGAR_HTTPS/edgar/.

Methodology

A script is run on a weekly basis that pulls the most recent indices of EDGAR filings from this link, downloads new filings to /zfs/data/NODR/EDGAR_HTTPS/edgar/ on the Yens, and then updates the table in this dataset with those filings. You can use the filepath column to access a specific filing on the Yens.

Note that in order to use filings on the Yens, you will need to have access to the Yens either as a member of the Stanford GSB research community or as a sponsored collaborator.

Usage

You may use this dataset to filter through the universe of EDGAR filings by CIK, company name, filing date, etc. and then compile a list of filings that you would like to use on the Yens.

This bar chart displays graduate students (people) by city using the aggregation sum in Stanford. The data is about universities.

In 2024, Stanford Graduate School of Business alumni earned the highest average annual salary of alumni at leading business schools worldwide, with an annual income of over 250,000 U.S. dollars. At the Harvard Business School, the average annual salary of alumni was 247,000 U.S. dollars. Most of the business schools with the highest earning alumni were located in the United States.

Abstract

The EDGAR log file data set provides information on internet search traffic for EDGAR filings through SEC.gov. The data sets contain information extracted from log files from the EDGAR Archive on SEC.gov, and the information can be used to infer user access statistics.

The current version of this dataset covers search traffic from January 1, 2014 through December 31, 2016.

Methodology

Due to the substantial volume of the raw EDGAR Log Files data set, we (Stanford GSB) implemented a series of transformations aimed at reducing its size while retaining essential information needed for research. Below is a summary of the modifications applied to the raw data, resulting in the four tables currently available in this Redivis dataset:

raw_single_day_per_year:

• This table contains a single unprocessed day of Edgar Log Data (June 15) from each year. June 15 was selected because it is near the midpoint of the year and is not a U.S. federal holiday.
• This table was created to help researchers examine a sample of raw data to understand how aggregation was performed in other tables and potentially identify trends using all the unfiltered fields

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aggregated_{YEAR}:

• **Filter rows **to include only those with code of value '200' with doc/extention values ending in htm, txt, xml, pdf, sgml, html, or xsd

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• **Remove fields %3Cstrong%3Ecik%3C/strong%3E, %3Cstrong%3Etime%3C/strong%3E, %3Cstrong%3Eidx%3C/strong%3E, %3Cstrong%3Esize%3C/strong%3E, and **%3Cstrong%3Ebrowser%3C/strong%3E. Our reasoning for removal of these fields: cik can be obtained through merging with our EDGAR Filings dataset using accession; idx shouldn't change over time for the same doc can be manually recreated via transform of doc; browser is NULL in more than 99.99% of rows across logs and is fully NULL for many dates; size varies according to doc which we have aggregated to reduce size; time does not have a time zone specified and daily data granularity is likely sufficient for research purposes
• **Aggregate identical rows into a **%3Cstrong%3Edoc_count%3C/strong%3E to represent the number of times a IP viewed a filing each day while keeping the same browser metadata/parameters
• **Filter aggregate data **to remove rows where doc_count %3E 10,000
• Standardize data by ensuring relevant field types align with the expected usage by researchers

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raw_{YEAR}:

• These tables contain a year of unprocessed Edgar Log Data.
• This table was created to help researchers to use the raw data to potentially identify trends using all the unfiltered fields

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Usage

From the SEC Edgar Log Website:

• *The full 2003 - 2017 data set does not have SEC IP addresses for some periods because, at the time, SEC users were not routed to EDGAR the same way as external visitors. For those periods of time, SEC IP addresses do not appear in the logs. *
• Due to certain limitations, including the existence of lost or damaged files, the information assembled does not capture all SEC.gov website traffic. In addition, it is possible inaccuracies or other errors were introduced into the data during the process of extracting and compiling the data.

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This data set contains flow simulation models generated for computational experiments towards developments of new algorithms in closed-loop optimization of subsurface resources (with results published in a Stanford PhD dissertation). Data sets are provided for each chapter of the dissertation. These data sets correspond to 2D and 3D Gaussian and channelized models (with binary and bimodal distribution) and can be used for testing new methods and algorithms for flow simulation or optimization of subsurface resources.

This dataset is about universities in Stanford. It has 1 row. It features 3 columns: total students, and graduate students.

Walden University was the leading doctorate granting university in the United States in 2021, with 846 doctorate recipients. Stanford University, University of Michigan Ann Arbor, University of California Berkeley, and Purdue University West Lafayette rounded out the top five doctorate granting universities.

This dataset was created by StanfordGSBLibrary on Wed, 13 May 2020 02:12:06 GMT.

Supplementary material for PhD dissertation "The Predictable Case of Faroese". Survey data from acceptability judgement tasks conducted on the Faroe Islands and Iceland. Testing various syntactic phenomena including predicates with non-nominative subjects, object shift, passives of one- and two-argument verbs, case-marking and agreement.

This dataset is about universities in Stanford. It has 1 row. It features 3 columns: foundation year, and graduate students.

In 2022, Canada had the highest share of adults with a university degree, at over 60 percent of those between the ages of 25 and 64. India had the smallest share of people with a university degree, at 13 percent of the adult population. University around the world Deciding which university to attend can be a difficult decision for some and in today’s world, people are not left wanting for choice. There are thousands of universities around the world, with the highest number found in India and Indonesia. When picking which school to attend, some look to university rankings, where Harvard University in the United States consistently comes in on top. Moving on up One of the major perks of attending university is that it enables people to move up in the world. Getting a good education is generally seen as a giant step along the path to success and opens up doors for future employment. Future earnings potential can be determined by which university one attends, whether by the prestige of the university or the connections that have been made there. For instance, graduates from the Stanford Graduate School of Business can expect to earn around 250,000 U.S. dollars annually.

This scatter chart displays graduate students (people) against ranking in Stanford. The data is about universities.

In 2023, the top ranked full-time business school in the United States was the Stanford Graduate School of Business in Stanford, California, where tuition costs students a total of 80,613 U.S. dollars.

This bar chart displays graduate students (people) by domain using the aggregation sum in Stanford. The data is about universities.