To collect feedback on their learning environment from families, students and teachers. Aids in facilitating the understanding of families perceptions, students, and teachers regarding their school. School leaders use feedback from the survey to reflect and make improvements to schools and programs. Each year all parents, teachers and students in grades 6-12 take the NYC School Survey. The survey is aligned to the DOE's Framework for Great Schools. It is designed to collect important information about each school's ability to support student success.

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Description:

The data consists of Marks of students including their study time & number of courses. The dataset is downloaded from UCI Machine Learning Repository.

Properties of the Dataset:
Number of Instances: 100
Number of Attributes: 3 including the target variable.

The project is simple yet challenging as it is has very limited features & samples. Can you build regression model to capture all the patterns in the dataset, also maitaining the generalisability of the model?

Objective:

• Understand the Dataset & cleanup (if required).
• Build Regression models to predict the student marks wrt multiple features.
• Also evaluate the models & compare their respective scores like R2, RMSE, etc.

This layer provides all marks and associated information that have an order of 6 or better. Cadastral surveys are required to connect to these marks if they are within a specified distance.

A cadastral survey network mark is a node which is (or was) occupied by a physical survey monument that meets accuracy standards suitable for cadastral requirements. i.e. Cadastral Survey Network Marks have a NZGD2000 horizontal coordinate order of 6 or better. The complete definition for these mark orders is defined by the following Standard. "https://www.legislation.govt.nz/regulation/public/2021/0095/latest/whole.html#LMS489621"

When a new cadastral survey network mark is named as part of a cadastral survey dataset (plan) its name consists of a mark type and number that is unique to that survey, followed by the plan number e.g. IS I DP 3456; IS II DP3456.

About this dataset

Context

The dataset tabulates the Marks population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Marks. The dataset can be utilized to understand the population distribution of Marks by age. For example, using this dataset, we can identify the largest age group in Marks.

Key observations

The largest age group in Marks, MS was for the group of age 55 to 59 years years with a population of 154 (10.38%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Marks, MS was the 80 to 84 years years with a population of 40 (2.70%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Marks is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Marks total population. 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 Marks Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Marks, MS population pyramid, which represents the Marks population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Marks, MS, is 21.9.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Marks, MS, is 31.2.
• Total dependency ratio for Marks, MS is 53.0.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Marks, MS is 3.2.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Marks population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Marks for the selected age group is shown in the following column.
• Population (Female): The female population in the Marks for the selected age group is shown in the following column.
• Total Population: The total population of the Marks for the selected age group is shown in the following column.

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 Marks Population by Age. You can refer the same here

Google KMZ file of SSM and Bencharks with associated metadata. This file can be downloaded directly but is primarily used as a network link for a KML file available from the Landgate website Show full description

This layer provides the latest captured boundary mark information that defines existing parcel boundaries and associated information such as the mark name. A boundary mark is on a node which defines the boundaries of primary parcels or non primary parcels. Not all boundary points have a physical monument (e.g. a peg) placed. In this case the boundary mark is recorded as “unmarked” This dataset extends the Landonline stored data by including the network accuracy which is based upon its assigned Landonline order - refer LINZS25006 (https://www.linz.govt.nz/resources/regulatory/standard-tiers-classes-and-orders-linz-data-linzs25006?document=256). The accuracy provided relates to the accuracy of coordinates of the mark and has little relevance to the accuracy of the boundary in relation to other boundaries. For example, if the coordinates of the mark were used to locate it, a user would expect to find the existing mark within the nominal accuracy (distance) stated.

River and stream benchmarks, a point on the ground with a known height.

This layer provides survey mark information for marks that are not part of a parcel A non-boundary mark is any survey mark that is not on a boundary point. The points in this dataset represent physical survey monuments usually placed for cadastral requirements. The data set also includes geodetic marks. Non-boundary marks now enter the Landonline system predominately as part of a cadastral survey dataset (plan) and occasionally via the geodetic processes. For Cadastral marks (i.e.the majority) its name consists of a mark type and number (and is unique to that survey), followed by the ‘plan’ number e.g. IS I DP 3456; IS II DP3456. Note: Non-boundary marks used to connect cadastral surveys to the geodetic network are those of 6th order (or better) and this subset is available as the NZ Cadastral Survey Network Marks layer. This dataset extends the Landonline stored data by including the network accuracy which is based upon its assigned Landonline order - refer LINZS25006 (http://www.linz.govt.nz/about-linz/news-publications-and-consultations/search-for-regulatory-documents/DocumentSummary.aspx?document=256). The accuracy provided relates to the accuracy of coordinates of the mark and has little relevance to the accuracy of the boundary in relation to other boundaries. For example, if the coordinates of the mark were used to locate it, a user would expect to find the existing mark within the accuracy (distance) stated.

This dataset provides information about the number of properties, residents, and average property values for Marks Street cross streets in Edna, KS.

A dictionary of marks is a book. It was written by Margaret Macdonald-Taylor and published by Barrie and Jenkins in 1992.

Comprehensive dataset of insider trading activities for MARKS HOWARD S, including Form 4 filings and transaction visualizations across multiple companies.

This dataset provides information about the position, position accuracy, mark name, mark type, condition and unique four letter code for geodetic marks in terms of New Zealand's official geodetic datum for the Ross Dependency. This dataset only includes marks that are within Antarctica. These positions have been generated using geodetic observations such as precise differential GPS or electronic distance and theodolite angles measurements. The positions are either 2D or 3D depending of the availability of this measurement data. The source data is from Land Information New Zealand's (LINZ) Landonline system where it is used by Land Surveyors. This dataset is updated daily to reflect changes made in the Landonline. Accuracy Geodetic marks with a coordinate order of 5 or less have been positioned in terms of Ross Sea Region Geodetic Datum 2000 (RSRGD2000) using precise differential GPS techniques. Marks with order 6 have been positioned in terms of RSRGD2000 using precise horizontal angles and distance measurements. Lower order marks (order 7 and greater) are derived from lower accuracy measurement techniques or historical datum transformations, and may be significantly less accurate. The accuracy of RSRGD2000 coordinates is described by a series of 'orders' classifications. Positions in terms of RSRGD2000 are described by three-dimensional coordinates (latitude, longitude, ellipsoidal height). The accuracy of a survey mark is indicated by its order. Orders are classifications based on the quality of the coordinate in relation to the datum and in relation to other surrounding marks. For more information see http://www.linz.govt.nz/geodetic/datums-projections-heights/heights/coordinate-orders/ Note that the accuracy applies at the time the mark was last surveyed. Refer to the web geodetic database for historical information about mark coordinates. Note also that the existence of a mark in this dataset does not imply that there is currently a physical mark in the ground - the dataset includes destroyed or lost historical marks. The geodetic database provides more information on the mark status, valid at last time it was visited by LINZ.

An area within which a specific system of navigational marks applies and/or a common direction of buoyage. S-57 Object Class: Navigational system of marks S-57 Acronym: M_NSYS This data was compiled for the use in the scale range 1:1,500,000 and smaller. THIS DATA DOES NOT REPLACE NAUTICAL CHARTS AND MUST NOT BE USED FOR NAVIGATION. This data is based on the S-57 data format used in Electronic Navigational Charts (ENCs) published and maintained by the New Zealand Hydrographic Authority at Land Information New Zealand (LINZ). Refer to the following link for information about S-57 data: http://www.linz.govt.nz/hydro/regulation/

Timeseries data from 'St. Marks (West) Florida' (raws_lafstw)

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

This dataset provides information about the number of properties, residents, and average property values for Marks Avenue cross streets in Lancaster, OH.

Contains horizontal and vertical coordinates and selected attributes of Standard Survey Marks (SSM) and Bench Marks (BM). This dataset is complemented by LGATE-199 which contains the coordinates and metadata for the reference marks (RM) of the geodetic marks in LGATE-076. © Western Australian Land Information Authority (Landgate). Use of Landgate data is subject to Personal Use License terms and conditions unless otherwise authorised under approved License terms and conditions.

The USACE IENCs coverage area consists of 7,260 miles across 21 rivers primarily located in the Central United States. IENCs apply to inland waterways that are maintained for navigation by USACE for shallow-draft vessels (e.g., maintained at a depth of 9-14 feet, dependent upon the waterway project authorization). Generally, IENCs are produced for those commercially navigable waterways which the National Oceanic and Atmospheric Administration (NOAA) does not produce Electronic Navigational Charts (ENCs). However, Special Purpose IENCs may be produced in agreement with NOAA. IENC POC: IENC_POC@usace.army.mil

This dataset is about book series and is filtered where the authors is Linda Marks. It has 10 columns such as book series, earliest publication date, latest publication date, average publication date, and number of authors. The data is ordered by earliest publication date (descending).