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In the multiple changepoint setting, various search methods have been proposed, which involve optimizing either a constrained or penalized cost function over possible numbers and locations of changepoints using dynamic programming. Recent work in the penalized optimization setting has focused on developing an exact pruning-based approach that, under certain conditions, is linear in the number of data points. Such an approach naturally requires the specification of a penalty to avoid under/over-fitting. Work has been undertaken to identify the appropriate penalty choice for data-generating processes with known distributional form, but in many applications the model assumed for the data is not correct and these penalty choices are not always appropriate. To this end, we present a method that enables us to find the solution path for all choices of penalty values across a continuous range. This permits an evaluation of the various segmentations to identify a suitable penalty choice. The computational complexity of this approach can be linear in the number of data points and linear in the difference between the number of changepoints in the optimal segmentations for the smallest and largest penalty values. Supplementary materials for this article are available online.
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The dataset tabulates the Seven Points 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 Seven Points. The dataset can be utilized to understand the population distribution of Seven Points by age. For example, using this dataset, we can identify the largest age group in Seven Points.
Key observations
The largest age group in Seven Points, TX was for the group of age Under 5 years years with a population of 113 (8.78%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Seven Points, TX was the 85 years and over years with a population of 3 (0.23%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Seven Points Population by Age. You can refer the same here
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TwitterThis is a dataset of hand-annotated branch diameters in artwork depicting trees, collected as part of a study designed to measure α, the diameter scaling exponent in fractal branching in artwork. We annotate stone window screen from the 16th century Sidi Saiyyed mosque, the Edo period Japanese painting "Cherry blossoms" by Matsumura Goshun, and 20th century abstract art by Gustav Klimt (from "Tree of Life") and Piet Mondrian ("Grey Tree" and "Blooming Apple Tree"). We measure the scaling exponent α by fitting branch diameter to a power law using logarithmic binning according to methods of Lin and Newberry (2023) and Newberry and Savage (2019). Included in this repository are lists of branch diameters and image annotations.
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Describing sets in terms of a two-valued variable, either value can be chosen: exam results may be referred to by pass rates or fail rates. What determines such framing choices? Building on work by McKenzie and colleagues on reference points in the production and interpretation of framed information, we investigate two determinants of frame choice. One is that speakers tend to focus on the component that has increased vis-Ã -vis a previous state, the other is the tendency to choose the proportion larger than 50%. We propose to view reference points as pointing to different kinds of communicative relevance. Hence the use of the previous state and the 50% reference points by speakers is not just a function of the information, but is co-determined by a communicative cue in the context: the question being asked about this information. This line of thought is supported by two experiments containing items offering two-sided distribution information at two points in time. Our first experiment employs a static task, requiring a description of the T2 situation. The second experiment uses a dynamic task, asking participants to describe the development from T1 to T2. We hypothesize that in static tasks the component size is the strongest frame choice determinant, while in dynamic tasks frame choice is mainly driven by whether a component has increased. The experiments consist of 16 different scenarios, both with symmetrical contrasts (i.e., dogs vs. cats) and with asymmetrical ones (i.e., winning vs. losing). The experiments use three crossed factors: proportion size (largest/smallest), direction of change (increasing/decreasing) and contrast symmetry (asymmetric/symmetric). Both experiments support the hypotheses. In the static task, the size effect is the only consistent effect; in the dynamic task, the effect of direction of change is much larger than that of size. This pattern of differences between size and change effects applies across symmetrical and asymmetrical contrasts. Our experiments shed light on cognitive and communicative regularities involved in the production of framed messages: people do tend to prefer larger and increasing proportions when choosing a frame, but the relative strength of both these preferences depends on the communicative task. Date: 2021-08-20
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TwitterData from: Reward context determines risky choice in pigeons and humansThe data are compressed in a .zip format containing two comma separated (.csv) files. One file contains data from the human subjects and the other contains the data from the pigeon subjects. The files are labelled "human_data.csv" and "pigeon_data.csv", respectively, and are both in a spreadsheet format. The human subject data was sampled from University of Alberta introductory psychology students participating for course credit and a cash bonus. All human data was presented and scored using E-Prime 2.0 Professional Software. The pigeon subject data was scored by hand using closed circuit recorded video. The column labelled "Notes" corresponds to additional information provided by the various volunteer research assistants who participated in the running and scoring of the pigeon subjects.Ludvig_Madan_Pisklak_Spetch_ data.zip
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Context
The dataset tabulates the Five Points 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 Five Points. The dataset can be utilized to understand the population distribution of Five Points by age. For example, using this dataset, we can identify the largest age group in Five Points.
Key observations
The largest age group in Five Points, AL was for the group of age 20-24 years with a population of 32 (26.45%), according to the 2021 American Community Survey. At the same time, the smallest age group in Five Points, AL was the 5-9 years with a population of 0 (0.00%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Five Points Population by Age. You can refer the same here
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The dataset presents median household incomes for various household sizes in Five Points, AL, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.
Key observations
https://i.neilsberg.com/ch/five-points-al-median-household-income-by-household-size.jpeg" alt="Five Points, AL median household income, by household size (in 2022 inflation-adjusted dollars)">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Household Sizes:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Five Points median household income. You can refer the same here
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The dataset tabulates the Sands Point 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 Sands Point. The dataset can be utilized to understand the population distribution of Sands Point by age. For example, using this dataset, we can identify the largest age group in Sands Point.
Key observations
The largest age group in Sands Point, NY was for the group of age 5 to 9 years years with a population of 292 (10.72%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Sands Point, NY was the 30 to 34 years years with a population of 21 (0.77%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Sands Point Population by Age. You can refer the same here
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The dataset tabulates the Point Arena 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 Point Arena. The dataset can be utilized to understand the population distribution of Point Arena by age. For example, using this dataset, we can identify the largest age group in Point Arena.
Key observations
The largest age group in Point Arena, CA was for the group of age 35 to 39 years years with a population of 110 (13.24%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Point Arena, CA was the 25 to 29 years years with a population of 3 (0.36%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Point Arena Population by Age. You can refer the same here
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The dataset tabulates the Mineral Point town 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 Mineral Point town. The dataset can be utilized to understand the population distribution of Mineral Point town by age. For example, using this dataset, we can identify the largest age group in Mineral Point town.
Key observations
The largest age group in Mineral Point Town, Wisconsin was for the group of age 65 to 69 years years with a population of 84 (9.19%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Mineral Point Town, Wisconsin was the 85 years and over years with a population of 10 (1.09%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Mineral Point town Population by Age. You can refer the same here
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The dataset tabulates the South Point 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 South Point. The dataset can be utilized to understand the population distribution of South Point by age. For example, using this dataset, we can identify the largest age group in South Point.
Key observations
The largest age group in South Point, OH was for the group of age 45 to 49 years years with a population of 340 (10.53%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in South Point, OH was the Under 5 years years with a population of 57 (1.77%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for South Point Population by Age. You can refer the same here
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The dataset tabulates the Point Hope 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 Point Hope. The dataset can be utilized to understand the population distribution of Point Hope by age. For example, using this dataset, we can identify the largest age group in Point Hope.
Key observations
The largest age group in Point Hope, AK was for the group of age Under 5 years years with a population of 116 (16.09%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Point Hope, AK was the 70 to 74 years years with a population of 3 (0.42%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Point Hope Population by Age. You can refer the same here
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Context
The dataset tabulates the Point 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 Point. The dataset can be utilized to understand the population distribution of Point by age. For example, using this dataset, we can identify the largest age group in Point.
Key observations
The largest age group in Point, TX was for the group of age 35 to 39 years years with a population of 133 (13.50%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Point, TX was the 75 to 79 years years with a population of 4 (0.41%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Point Population by Age. You can refer the same here
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The dataset tabulates the New Point 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 New Point. The dataset can be utilized to understand the population distribution of New Point by age. For example, using this dataset, we can identify the largest age group in New Point.
Key observations
The largest age group in New Point, IN was for the group of age 60 to 64 years years with a population of 33 (13.10%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in New Point, IN was the 50 to 54 years years with a population of 3 (1.19%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for New Point Population by Age. You can refer the same here
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The dataset tabulates the Central Point 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 Central Point. The dataset can be utilized to understand the population distribution of Central Point by age. For example, using this dataset, we can identify the largest age group in Central Point.
Key observations
The largest age group in Central Point, OR was for the group of age 45-49 years with a population of 1,533 (8.09%), according to the 2021 American Community Survey. At the same time, the smallest age group in Central Point, OR was the 80-84 years with a population of 260 (1.37%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Central Point Population by Age. You can refer the same here
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The dataset tabulates the West Point 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 West Point. The dataset can be utilized to understand the population distribution of West Point by age. For example, using this dataset, we can identify the largest age group in West Point.
Key observations
The largest age group in West Point, UT was for the group of age 15 to 19 years years with a population of 1,498 (12.96%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in West Point, UT was the 85 years and over years with a population of 82 (0.71%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for West Point Population by Age. You can refer the same here
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The dataset tabulates the Fox Point 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 Fox Point. The dataset can be utilized to understand the population distribution of Fox Point by age. For example, using this dataset, we can identify the largest age group in Fox Point.
Key observations
The largest age group in Fox Point, WI was for the group of age 70 to 74 years years with a population of 592 (8.78%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Fox Point, WI was the 80 to 84 years years with a population of 137 (2.03%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Fox Point Population by Age. You can refer the same here
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The dataset tabulates the Point Comfort 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 Point Comfort. The dataset can be utilized to understand the population distribution of Point Comfort by age. For example, using this dataset, we can identify the largest age group in Point Comfort.
Key observations
The largest age group in Point Comfort, TX was for the group of age 10 to 14 years years with a population of 71 (14.26%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Point Comfort, TX was the 5 to 9 years years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Point Comfort Population by Age. You can refer the same here
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The dataset tabulates the Point Venture 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 Point Venture. The dataset can be utilized to understand the population distribution of Point Venture by age. For example, using this dataset, we can identify the largest age group in Point Venture.
Key observations
The largest age group in Point Venture, TX was for the group of age 50 to 54 years years with a population of 189 (12.18%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Point Venture, TX was the 20 to 24 years years with a population of 19 (1.22%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Point Venture Population by Age. You can refer the same here
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The dataset tabulates the Dana Point 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 Dana Point. The dataset can be utilized to understand the population distribution of Dana Point by age. For example, using this dataset, we can identify the largest age group in Dana Point.
Key observations
The largest age group in Dana Point, CA was for the group of age 55 to 59 years years with a population of 2,855 (8.68%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Dana Point, CA was the 80 to 84 years years with a population of 661 (2.01%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Dana Point Population by Age. You can refer the same here
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In the multiple changepoint setting, various search methods have been proposed, which involve optimizing either a constrained or penalized cost function over possible numbers and locations of changepoints using dynamic programming. Recent work in the penalized optimization setting has focused on developing an exact pruning-based approach that, under certain conditions, is linear in the number of data points. Such an approach naturally requires the specification of a penalty to avoid under/over-fitting. Work has been undertaken to identify the appropriate penalty choice for data-generating processes with known distributional form, but in many applications the model assumed for the data is not correct and these penalty choices are not always appropriate. To this end, we present a method that enables us to find the solution path for all choices of penalty values across a continuous range. This permits an evaluation of the various segmentations to identify a suitable penalty choice. The computational complexity of this approach can be linear in the number of data points and linear in the difference between the number of changepoints in the optimal segmentations for the smallest and largest penalty values. Supplementary materials for this article are available online.