Based on the Family Group Decision Making (FGDM) philosophy, Circles of Support (COS) are meetings that focus on the youth and their plans for transitioning to a successful adulthood. They are led by the youth whenever possible. Participants represent a broad spectrum of the youth’s support network. The youth choses who they want to include in their COS: Participants can be the youth’s siblings, birth family members, foster or kinship care providers, teachers, relatives, church members, friends, mentors, and anyone else who is willing and able to support the youth into adulthood. These participants come together to develop and review the youth's plans for transitioning to a successful adulthood, including strengths, hopes and dreams, and goals. The plans cover needs in the areas of education, employment, mental and physical health, housing, and all Preparation for Adult Living (PAL) life skills training components. The COS is about having discussions with the youth about what is needed and important to the youth and how participants can support the youth.

Galaxy clustering

Iris, Moon, and Circles datasets for Galaxy clustering tutorial

By [source]

About this dataset

This dataset contains a wealth of information that can be used to explore the effectiveness of various clustering algorithms. With its inclusion of numerical measurements (X, Y, Sepal.Length, and Petal.Length) and categorical values (Species), it is possible to investigate the relationship between different types of variables and clustering performance. Additionally, by comparing results for the 3 datasets provided - moon.csv (which contains x and y coordinates), iris.csv (which contains measurements for sepal and petal lengths),and circles.csv - we can gain insights into how different data distributions affect clustering techniques such as K-Means or Hierarchical Clustering among others!

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How to use the dataset

This dataset can also be a great starting point to further explore more complex clusters by using higher dimensional space variables such as color or texture that may be present in other datasets not included here but which can help to form more accurate groups when using cluster-analysis algorithms. Additionally, it could also assist in visualization projects where clusters may need to be generated such as plotting mapped data points or examining relationships between two different variables within a certain region drawn on a chart.

To use this dataset effectively it is important to understand how exactly your chosen algorithm works since some require specifying parameters beforehand while others take care of those details automatically; otherwise the interpretation may be invalid depending on the methods used alongside clustering you intend for your project. Furthermore, familiarize yourself with concepts like silhouette score and rand index - these are commonly used metrics that measure your cluster’s performance against other clusterings models so you know if what you have done so far satisfies an acceptable level of accuracy or not yet! Good luck!

Research Ideas

• Utilizing the sepal and petal lengths and widths to perform flower recognition or part of a larger image recognition pipeline.
• Classifying the data points in each dataset by the X-Y coordinates using clustering algorithms to analyze galaxy locations or overall formation patterns for stars, planets, or galaxies.
• Exploring correlations between species of flowers in terms of sepal/petal lengths by performing supervised learning tasks such as classification with this dataset

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: moon.csv | Column name | Description | |:--------------|:------------------------------------------| | X | X coordinate of the data point. (Numeric) | | Y | Y coordinate of the data point. (Numeric) |

File: iris.csv | Column name | Description | |:-----------------|:---------------------------------------------| | Sepal.Length | Length of the sepal of the flower. (Numeric) | | Petal.Length | Length of the petal of the flower. (Numeric) | | Species | Species of the flower. (Categorical) |

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit .

ABSTRACT The automatic detection of lines and curves from color images is a very important task in many applications, such as object recognition and scene reconstruction. Although there are closed formulation for curve fitting to a set of points, if the point set describes more than one instance of the object, as two circles for example, there is no closed formulation for obtaining the individual set of parameters without a priori information of which points belong to each object. However, it is usual the presence of multiple instances of objects such as lines and circles on an image. The well known Hough transform is an efficient tool for recovering multiple objects from images using a voting process where the usual presence of false positives is an issue. In our work, we present an improvement on the voting process to detect multiple circles using Hough transform in order to avoid false positives. Our experiments show that our voting process leads to a more robust detection, reducing the number of false positive and providing a more accurate detection even with large number of circles.

This dataset contains the predicted prices of the asset Circles over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

This is a point dataset showing the location of 255 Stone Circles in the Republic of Ireland generated from the Sites and Monuments Record (SMR). This dataset is updated on a regular basis by the Archaeological Survey of Ireland (ASI). Each record in this dataset can be accessed through the online Historic Environment Viewer at https://maps.archaeology.ie/historicenvironment. The current published dataset dates from April 2023. New stone circles are updated to the record by the Archaeological Survey of Ireland as soon as possible after the notification of such discovery has been reported to the National Monuments Service (NMS) through their email at nationalmonuments@housing.gov.ie. Unlocated stone circles with a 0 0 National Grid Reference are monuments whose location has been lost and await rediscovery by local people who may report their findings to the National Monuments Service at the above email address. The KMZ file can be opened using Google Earth which displays these ‘lost’ monuments at the same location in the Atlantic Ocean. The dataset contains a list of the following fields, county location, monument number known as the SMR Number, Class Description which is the classification type of the monument, townland, ITM E and ITM N are the Easting and Northern Irish Grid reference in Irish Transverse Mercator format, the latitude and longitude of the monument location. The final Links table includes a hyperlink or internet address which takes the browser directly to the online entry for each monument hosted on the Historic Environment Viewer of the National Monuments website at www.archaeology.ie. This dataset is based on information exported from the national database on the 20/04/2023.

This geophysical survey is located in north-central Alaska in the Circle mining district, about 120 kilometers northeast of Fairbanks, Alaska. Frequency domain electromagnetic and magnetic data were collected with the DIGHEM system from August to September 1993. A total of 2516.7 line kilometers were collected covering 921.5 square kilometers. Line spacing was 400 meters (m). Data were collected 30 m above the ground surface from a helicopter towed sensor platform ("bird") on a 30 m long line. The data, as well as additional metadata, are available from the DGGS website: http://doi.org/10.14509/30167.

This dataset consists of 'circles' (or 'lists') from Twitter. Twitter data was crawled from public sources. The dataset includes node features (profiles), circles, and ego networks.

Data is also available from Facebook and Google+. Source: http://snap.stanford.edu/data/ego-Twitter.html Citation: J. McAuley and J. Leskovec. Learning to Discover Social Circles in Ego Networks. NIPS, 2012.

This dataset provides information about the number of properties, residents, and average property values for Circles End cross streets in Leesville, LA.

About this dataset

Context

The dataset tabulates the Circle 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 Circle. The dataset can be utilized to understand the population distribution of Circle by age. For example, using this dataset, we can identify the largest age group in Circle.

Key observations

The largest age group in Circle, MT was for the group of age 20-24 years with a population of 66 (13.72%), according to the 2021 American Community Survey. At the same time, the smallest age group in Circle, MT was the 45-49 years with a population of 13 (2.70%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Circle is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Circle 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 Circle Population by Age. You can refer the same here

This dataset contains the predicted prices of the asset Crop Circles over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

Context

Semi-random generated dataset within the framework of the postgraduate course of "Intelligent Systems" taught at the INGAR institute in the city of Santa Fe, Argentina.

Content

Geometric figures within the following categories: circles, ellipses, squares, rectangles and triangles.

4331 Global export shipment records of Stainless Steel Circles with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Explore detailed Concrete Blocks import data of Circles And Squares Limited in the USA—product details, price, quantity, origin countries, and US ports.

11666 Global import shipment records of Cut circles with prices, volume & current Buyer’s suppliers relationships based on actual Global import trade database.

About this dataset

Context

The dataset tabulates the data for the Circle, MT population pyramid, which represents the Circle population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey 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 Circle, MT, is 24.6.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Circle, MT, is 54.9.
• Total dependency ratio for Circle, MT is 79.5.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Circle, MT is 1.8.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Circle population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Circle for the selected age group is shown in the following column.
• Population (Female): The female population in the Circle for the selected age group is shown in the following column.
• Total Population: The total population of the Circle 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 Circle Population by Age. You can refer the same here

Answering a call by the Common Vision for instructional material to “establish stronger connections with other disciplines” and “work with professional-level technology tools,” the present article shows how various aspects of fitting circles to data fit in existing courses from basic calculus to advanced calculus.

This report provides detailed (1:63,360-scale) mapping of portions of U.S. Geological Survey Circle B-2 (1955), B-3 (1955), B-4 (1952), C-2 (1955), C-3 (1955), and C-4 (1952) quadrangles. The area is part of the Circle mining district and adjacent to the Fairbanks mining district. This report includes detailed geologic, structural, stratigraphic, and geochronologic data. Based on the resulting geologic maps, field investigations, and laboratory materials analyses, the project has also generated derivative maps of geologic construction materials and geologic hazards.

View details of Circles imports shipment data in June with price, HS codes, major Indian ports, countries, importers, buyers in India, quantity and more.

As of 2021, this dataset is no longer being updated. Please see SFMTA's Traffic Calming Map for current information.

A. SUMMARY Locations of traffic circles in San Francisco.

B. METHODOLOGY Manually updated. Updates from project managers.

C. UPDATE FREQUENCY As needed