Dataset Card for "github-code-haskell-function"

Rows: 3.26M Download Size: 1.17GB This dataset is extracted from github-code-haskell-file. Each row has 3 flavors of the same function: uncommented_code: Includes the function and its closest signature. function_only_code: Includes the function only. full_code: Includes the function and its closest signature and comment. The heuristic for finding the closest signature and comment follows: If the immediate previous neighbor of the… See the full description on the dataset page: https://huggingface.co/datasets/blastwind/deprecated-github-code-haskell-function.

A complete list of live websites using the Haskell technology, compiled through global website indexing conducted by WebTechSurvey.

About this dataset

Context

The dataset tabulates the Haskell population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Haskell across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Haskell was 1,690, a 1.38% increase year-by-year from 2022. Previously, in 2022, Haskell population was 1,667, an increase of 0.06% compared to a population of 1,666 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Haskell decreased by 325. In this period, the peak population was 2,052 in the year 2009. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Haskell is shown in this column.
• Year on Year Change: This column displays the change in Haskell population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Haskell Population by Year. You can refer the same here

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The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national filewith no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independentdata set, or they can be combined to cover the entire nation. Linear Water Features includes single-line drainage water features and artificial path features that run through double-line drainage features such as rivers and streams, and serve as a linear representation of these features. The artificial path features may correspond to those in the USGS National Hydrographic Dataset (NHD). However, in many cases the features do not match NHD equivalent feature and will not carry the NHD metadata codes. These features have a MAF/TIGER Feature Classification Code (MTFCC) beginning with an "H" to indicate the super class of Hydrographic Features.

Haskelleliot/Haskell dataset hosted on Hugging Face and contributed by the HF Datasets community

This dataset provides information about the number of properties, residents, and average property values for 2nd Avenue cross streets in Haskell, NJ.

Graph and download economic data for Mean Commuting Time for Workers (5-year estimate) in Haskell County, TX (B080ACS048207) from 2009 to 2023 about Haskell County, TX; commuting time; workers; average; TX; 5-year; and USA.

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This dataset provides information about the number of properties, residents, and average property values for Haskell Avenue cross streets in Willcox, AZ.

This dataset provides information about the number of properties, residents, and average property values for Haskell Street cross streets in Westbrook, ME.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, stairways, and winter trails.

saurabh5/rlvr-code-data-Haskell dataset hosted on Hugging Face and contributed by the HF Datasets community

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