Hadley’s ggplot2 R package ships with a dataset that records 10 features of more than 50 thousand diamonds from Diamond Search Engine collected in 2008.

This dataset is a subset of the original diamonds dataset with more than 54,000 diamonds. It was reduced to only feature diamonds of the best cut (ideal) and clarity (IF). The context is now given by the colors from J (worst) to D (best). This dataset comes from the R-package ggplot2 (Wickham 2016). For each color, we can examine the following attributes (quantity types) of each diamond:

Carat: Weight of the diamond

Depth: Total depth percentage

Price: Price in US dollars [discrete]

Table: Width of top of diamond relative to widest point

X: Length in mm

Y: Width in mm

Z: Depth in mm

It has a total of 7 Colors (contexts): D, E, F, G, H, I, and J. The best color is D and the worst color is J. This dataset was created to analyze whether there are differences between the colors.

This dataset is a subset of the original diamonds dataset with more than 54,000 diamonds. It was reduced to only contain diamonds of the best cut (ideal) and clarity (IF). The group is now given by the colors from J (worst) to D (best). This dataset comes from the R-package ggplot2 (Wickham 2016). For each color, we can examine the following attributes (features) of each diamond:

• Carat: Weight of the diamond
• Depth: Total depth percentage
• Price: Price in US dollars [discrete]
• Table: Width of top of diamond relative to widest point
• X: Length in mm
• Y: Width in mm
• Z: Depth in mm

It has a total of 7 Colors (groups): D, E, F, G, H, I, and J. The best color is D and the worst color is J. This dataset was created to analyze whether there are differences between the colors.

This dataset tracks annual reading and language arts proficiency from 2011 to 2022 for Diamond R-IV School District vs. Missouri

This dataset tracks annual hispanic student percentage from 1999 to 2023 for Diamond R-IV School District vs. Missouri

This dataset tracks annual total expenditure from 1990 to 2021 for Diamond R-IV School District

This dataset tracks annual science proficiency from 2021 to 2022 for Diamond R-IV School District vs. Missouri

This dataset is the study of thick adherent diamond layers on AlN. The txt files can be opened and analysed using any plotting software. The work describes growth of >100μm thick diamond layer adherent on aluminium nitride. While thick films failed to adhere on untreated AlN films, hydrogen/nitrogen plasma treated AlN films retained the thick diamond layers. Clear differences in zeta potential measurement confirms the surface modification due to hydrogen/nitrogen plasma treatment. Areal Raman maps showed an increase in non-diamond carbon in the initial layers of diamond grown on pre-treated AlN. The presence of non- diamond carbon has minimal effect on the interface between diamond and AlN. The surfaces studied with x-ray photoelectron spectroscopy (XPS) revealed a clear distinction between pre-treated and untreated samples. The surface aluminium goes from nitrogen rich environment to an oxygen rich environment after pre-treatment. Cross section transmission electron microscopy shows a clean interface between diamond and AlN. Thermal barrier resistance between diamond and AlN was found to be in the range of 16 m$^2$K/GW which is a large improvement on the current state-of-the-art. AlNasrecvd.dat AlNH2.dat AlNH2N2.dat AlNo2.dat is the raw data for zeta potential measurments. These files can be analysed using any plotting software. The data is for asreceived, H2 treated, H2N2 treated and O2 ashed films repectively.aln 190228.vms aln Aln_p190228b_h2.vms AlN_p190228_h2n2.vms 190228ox.vms is the raw data for xps measurments andthey can be analysed by using CasaXPS. The data is for asreceived, H2 treated, H2N2 treated and O2 ashed films repectively.10min.0_00001_unseeded.spm 10min+Seeded.0_00001_Htreatedseeds.spm AlN_seeded_N2-10min.0_00000_oterminatedseeds.spm AlN_seeded.0_00000_oterminatedseeds.spm Untreated.0_00001_unseeded.spm Untreated+Seeded.0_00001_htreatedseeds.spm are the AFM data presente din the paper. There are two sets of data one for untreated sample another for pretretaed sample. 10min.0_00001_unseeded.spm 10min+Seeded.0_00001_Htreatedseeds.spm AlN_seeded_N2-10min.0_00000_oterminatedseeds.spm are for pretreted samples with no seeds, hterminated seeds and o terminated seeds respectively. AlN_seeded.0_00000_oterminatedseeds.spm Untreated.0_00001_unseeded.spm Untreated+Seeded.0_00001_htreatedseeds.spm are for untretaed samples with O terminated seeds, unseeded and H terminated seeds respectively.ramanthick.dat p190507b-400-1600_untreated.txt p190507b-1230-2300_untreated.txt p190507c-400-1600_pretreated.txt p190507c-1230-2300_pretreated.txt are the data for Raman spectroscopy. ramanthick .dat is the data for thick diamond films. Rest are the data for thin diamond films.profile.dat EELSdata.dat are the rawa data for EELS and element analysis.Reserach results based upon these data are published at https://doi.org/10.1021/acsami.9b13869

This dataset tracks annual white student percentage from 1993 to 2023 for Diamond R-IV School District vs. Missouri

diamond jewelry market size was worth around USD 90.29 billion in 2023 and is grow to around USD 136.52 billion by 2032 (CAGR) of roughly 4.70% between 2024 and 2032

The Republic of the Congo: Diamond imports, carats: The latest value from 2024 is 0 carats, unchanged from 0 carats in 2023. In comparison, the world average is 4234592.60 carats, based on data from 59 countries. Historically, the average for the Republic of the Congo from 2004 to 2024 is 0 carats. The minimum value, 0 carats, was reached in 2004 while the maximum of 0 carats was recorded in 2004.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

The DIAMAS project investigates Institutional Publishing Service Providers (IPSP) in the broadest sense, with a special focus on those publishing initiatives that do not charge fees to authors or readers. To collect information on Institutional Publishing in the ERA, a survey was conducted among IPSPs between March-May 2024. This dataset contains aggregated data from the 685 valid responses to the DIAMAS survey on Institutional Publishing.

The dataset supplements D2.3 Final IPSP landscape Report Institutional Publishing in the ERA: results from the DIAMAS survey.

The data

Basic aggregate tabular data

Full individual survey responses are not being shared to prevent the easy identification of respondents (in line with conditions set out in the survey questionnaire). This dataset contains full tables with aggregate data for all questions from the survey, with the exception of free-text responses, from all 685 survey respondents. This includes, per question, overall totals and percentages for the answers given as well the breakdown by both IPSP-types: institutional publishers (IPs) and service providers (SPs). Tables at country level have not been shared, as cell values often turned out to be too low to prevent potential identification of respondents. The data is available in csv and docx formats, with csv files grouped and packaged into ZIP files. Metadata describing data type, question type, as well as question response rate, is available in csv format. The R code used to generate the aggregate tables is made available as well.

Files included in this dataset

survey_questions_data_description.csv - metadata describing data type, question type, as well as question response rate per survey question.

tables_raw_all.zip - raw tables (csv format) with aggregated data per question for all respondents, with the exception of free-text responses. Questions with multiple answers have a table for each answer option. Zip file contains 180 csv files.

tables_raw_IP.zip - as tables_raw_all.zip, for responses from institutional publishers (IP) only. Zip file contains 180 csv files.

tables_raw_SP.zip - as tables_raw_all.zip, for responses from service providers (SP) only. Zip file contains 170 csv files.

tables_formatted_all.docx - formatted tables (docx format) with aggregated data per question for all respondents, with the exception of free-text responses. Questions with multiple answers have a table for each answer option.

tables_formatted_IP.docx - as tables_formatted_all.docx, for responses from institutional publishers (IP) only.

tables_formatted_SP.docx - as tables_formatted_all.docx, for responses from service providers (SP) only.

DIAMAS_Tables_single.R - R script used to generate raw tables with aggregated data for all single response questions

DIAMAS_Tables_multiple.R - R script used to generate raw tables with aggregated data for all multiple response questions

DIAMAS_Tables_layout.R - R script used to generate document with formatted tables from raw tables with aggregated data

DIAMAS Survey on Instititutional Publishing - data availability statement (pdf)

All data are made available under a CC0 license.

This bar chart displays books by publication date using the aggregation count. The data is filtered where the author is Lydia R. Diamond. The data is about books.

This dataset tracks annual two or more races student percentage from 2013 to 2023 for Diamond R-IV School District vs. Missouri

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Water-rich regions in Earth’s deeper mantle are suspected to play a key role in the global water budget and the mobility of heat-generating elements. We show that ice-VII occurs as inclusions in natural diamond and serves as an indicator for such water-rich regions. Ice-VII, the residue of aqueous fluid present during growth of diamond, crystallizes upon ascent of the host diamonds but remains at pressures as high as 24 gigapascals; it is now recognized as a mineral by the International Mineralogical Association. In particular, ice-VII in diamonds points toward fluid-rich locations in the upper transition zone and around the 660-kilometer boundary.

About this dataset

Context

The dataset illustrates the median household income in Diamond, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2023, the median household income for Diamond increased by $25,785 (53.48%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 8 years and declined for 5 years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

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 Diamond median household income. You can refer the same here

About this dataset

Context

The dataset illustrates the median household income in Diamond, spanning the years from 2010 to 2021, with all figures adjusted to 2022 inflation-adjusted dollars. Based on the latest 2017-2021 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2021, the median household income for Diamond increased by $23,347 (50.42%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $4,559 (6.51%) between 2010 and 2021.

Analyzing the trend in median household income between the years 2010 and 2021, spanning 11 annual cycles, we observed that median household income, when adjusted for 2022 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 7 years and declined for 4 years.

https://i.neilsberg.com/ch/diamond-mo-median-household-income-trend.jpeg" alt="Diamond, MO median household income trend (2010-2021, in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2021
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2022 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

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 Diamond median household income. You can refer the same here

Lydia R Diamond 14 Nisan 1969 Detroit Amerikalı tiyatro yazarı ve profesör En popüler oyunları arasında Toni Morrison un