Datafiles

  • COL_Worldwide_2020 Download .TXT file Open in Data Desk ?
  • Methods: Boxplots, Center, Confidence Intervals for Means, Correlation, Data Display, Display Quantitative Variable, Hypothesis Tests, Multiple Regression, Scatterplot, Shape, Spread, Summaries, Summarizing Quantitative Data
  • Source: http://www.numbeo.com/cost-of-living
  • Number of Cases: 441
  • Excerpt: The Cost of Living Index (COL) summarizes the cost of a representative market basket of goods that includes groceries, COL to determine living allowances and salaries for employees. Inflation is often measured by how much the COL changes from year to year. Relative COLs can be found for different cities. We have data giving COL […]






  • COL all 2025 Download .TXT file Open in Data Desk ?
  • Methods: Boxplots
  • Source: http://www.numbeo.com/cost-of-living
  • Number of Cases: 331
  • Excerpt: To help travelers know what to expect, researchers collected the prices of commodities in 331 countries throughout the world comparing the average prices of a bottle of water, a dozen eggs, and a loaf of bread. (prices are all in US$ as of January 2025).


  • COL 2025 Download .TXT file Open in Data Desk ?
  • Methods: Boxplots
  • Source: http://www.numbeo.com/cost-of-living
  • Number of Cases: 96
  • Excerpt: To help travelers know what to expect, researchers collected the prices of commodities in 96 countries throughout the world comparing the average prices of a bottle of water, a dozen eggs, and a loaf of bread. (prices are all in US$ as of January 2025).


  • Coffee_prices_2017 Download .TXT file Open in Data Desk ?
  • Methods: Time Series Analysis
  • Source: http://www.ico.org/new_historical.asp?section=Statistics
  • Number of Cases: 336
  • Excerpt: Coffee is the world’s second largestlegal export commodity (after oil) and is the second largest source of foreign exchange for developing nations. The United States consumes about one-fifth of the world’s coffee. The International Coffee Organization (ICO) computes a coffee price index using Colombian, Brazilian, and a mixture of other coffee data. Data are provided […]


  • Coasters_2015 Download .TXT file Open in Data Desk ?
  • Methods: Boxplots, Comparing Groups, Correlation, Multiple Regression, Multiple Regression Inference, Outliers, R-squared, Re-expression, Regression, Regression Inference, Residuals, Scatterplot
  • Source: rcdb.com select columns with: http://rcdb.com/r.htm?ot=2&op=2015&column=1,4,19,20,21,22,23,24,27,28 http://rcdb.com/r.htm?column=1,4,13,14,19,20,21,22,23,24,27,28&ot=2&nm=na&st=93&op=2015&ex=1&page=1
  • Number of Cases: 241
  • Excerpt: The website rcdb.com, the Roller Coaster Database, holds facts about every roller coaster in the world, current or past. (If you know of one that is missing, please let the site master know.) These data are for recently opened coasters, most of which are still in operation.


  • CO2Monthly_2024 Download .TXT file Open in Data Desk ?
  • Methods: Regression Inference, Time Series Analysis
  • Source: https://scrippsco2.ucsd.edu/assets/data/atmospheric/stations/in_situ_co2/monthly/monthly_in_situ_co2_mlo.csv
  • Number of Cases:
  • Excerpt: Climate scientists are concerned about the increase in carbon dioxide (CO2) levels in the atmosphere because CO2 is a greenhouse gas, trapping heat from sunlight. One of the best time series measuring CO2 levels is recorded monthly on the top of Mauna Loa in Hawaii. Because it is in the middle of the Pacific, the […]


  • CO2Monthly_2020 Download .TXT file Open in Data Desk ?
  • Methods: R-squared, Regression, Residuals
  • Source: https://scrippsco2.ucsd.edu/assets/data/atmospheric/stations/in_situ_co2/monthly/monthly_in_situ_co2_mlo.csv
  • Number of Cases: 756
  • Excerpt: Climate scientists are concerned about the increase in carbon dioxide (CO2) levels in the atmosphere because CO2 is a greenhouse gas, trapping heat from sunlight. One of the best time series measuring CO2 levels is recorded monthly on the top of Mauna Loa in Hawaii. Because it is in the middle of the Pacific, the […]


  • Cloud_seeding Download .TXT file Open in Data Desk ?
  • Methods: Blocking, Boxplots, Comparing Groups, Comparing Two Groups, Inference, Outliers, Paired Data, Re-expression
  • Source: Chambers, Cleveland, Kleiner, and Tukey. (1983). Graphical Methods for Data Analysis. Wadsworth International Group, Belmont, CA, 351. Original Source: Simpson, Alsen, and Eden. (1975). A Bayesian analysis of a multiplicative treatment effect in weather modification. Technometrics 17, 161-166.
  • Number of Cases: 26
  • Excerpt: In an experiment to determine whether seedingclouds with silver iodide increases rainfall, 52 clouds were randomly assigned to be seeded or not. The amount of rain they generated was then measured (in acre-feet).


  • Climate_change_2019 Download .TXT file Open in Data Desk ?
  • Methods: Multiple Regression Inference, R-squared, Regression, Regression Inference, Residuals
  • Source: Global temperature from https://data.giss.nasa.gov/gistemp/graphs/graph_data/Global_Mean_Estimates_based_on_Land_and_Ocean_Data/graph.txt CO2 from https://scrippsco2.ucsd.edu/assets/data/atmospheric/stations/in_situ_co2/monthly/monthly_in_situ_co2_mlo.csv
  • Number of Cases: 62
  • Excerpt: Changes in the mean global temperature are primarily due to increases in CO2 levels. Both trends are here from 1958 to 2019.


  • Climate_change_2016 Download .TXT file Open in Data Desk ?
  • Methods: Multiple Regression, Regression
  • Source: Global temperature fromhttps://www.ncdc.noaa.gov/cag/data-info/global Global temperature anomaly data come from the Global Historical Climatology Network-Monthly (GHCN-M) data set and International Comprehensive Ocean-Atmosphere Data Set (ICOADS), which have data from 1880 to the present. These two datasets are blended into a single product to produce the combined global land and ocean temperature anomalies. The available timeseries of global-scale temperature anomalies are calculated with respect to the 20th century average, while the mapping tool displays global-scale temperature anomalies with respect to the 1981-2010 base period. For more information on these anomalies, please visit Global Surface Temperature Anomalies. CO2 from ftp://aftp.cmdl.noaa.gov/products/trends/co2/co2_annmean_mlo.txt DJIA from https://www.measuringworth.com
  • Number of Cases: 58
  • Excerpt: Scientists claim that changes in the mean global temperature are primarily due to changes in CO2 levels. Both trends are here from 1959 to 2016. For an alternative, the data includes the annual closing price of the Dow Jones Industrial Average. Can it predict global temperature?