Note: Both of these graphs were generated by using the SPSS Statistics Chart Builder GUI. The resulting scatterplot chart displays in the SPSS Statistics Output Viewer. Highlight the previous syntax, and click the green Run Selection icon on the toolbar (you can also select Run > Selection from the menu). Note: The ordinal measurement level for the dates is useful because it provides variable flexibility when charting (it maintains the sorting order, but marks it as categorical, which some chart functions require). The following commands replace dashes in the variable strings with slashes, change the variable type from string to date, assign the variable to an ordinal measurement level, add variable labels to the variables, and provide counts with the same format (0 decimals). Converting the date variableīecause the date variable in the data file does not match any of the many defined SPSS Statistics date formats, you must edit the date variable information to convert it to a format that SPSS Statistics recognizes.
Some of the locations did not have cases reported until well after the time period covered by the data (which begins December 31, 2019, for some locations). There are 92 records for the world, and variable numbers for specific locations. The file contains a total of 7996 rows (referred to as records or cases). In addition to data for the entire world, there is data for 199 specific locations where at least one COVID-19 case has been reported. It contains a date variable, a location variable (which indicates the country or territory), and variables that provide daily counts of new recorded cases, newly recorded deaths, total recorded cases, and total recorded deaths.
Open a new Syntax Editor session in SPSS Statistics by selecting File > New > Syntax.Ĭopy the following syntax into the Syntax Editor dialog box.Ĭhange on the /FILE subcommand of the GET DATA command to reference the directory where the full_data.csv file is located on your system. Instructions for importing *.csv files through the GUI can be found at Reading CSV Files.Ĭommand syntax can also be used to read the data into SPSS Statistics. Loading the data file into SPSS Statisticsīecause the full_data.csv data file is not a native SPSS Statistics file (*.sav), the file must first be imported into the application. The data values presented here might not exactly match data from other sources (for various reasons). Refer to the notes at Coronavirus Disease (COVID-19) – Statistics and Research for details regarding exact dates. The full_data.csv file was downloaded on April 1, 2020, and contains COVID-19 data through the end of March (based on the timelines maintained by the European Centre for Disease Prevention and Control). The data is maintained by Hannah Ritchie, and was downloaded directly from Coronavirus Source Data.
This site contains a substantial amount of useful information on data and other aspects of the COVID-19 pandemic. The data for this example is from the full_data.csv file that was obtained from the highly informative Coronavirus Disease (COVID-19) – For information regarding SPSS Statistics command syntax, see Working with Command Syntax. The command syntax provides flexible programming of analyses, the ability to save instructions for the reproduction of future outcomes, and allows for adaptation to new data or problems.
SPSS Statistics features an easy-to-use graphical user interface (GUI), but almost all of what the GUI allows you to do is performed behind the scenes by a powerful command syntax language. You can use IBM SPSS Statistics for various descriptive and predictive analyses of data, such as those generated by the COVID-19 pandemic.
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