![]() If you’d like to see the hockey data file with the completed pivot tables, click this link to get my player data analysis workbook.Īll of the zipped files are in xlsx format, and do not contain macros. To get the Excel sample data files, go to the Sample Data page on my Contextures site. Begin the DATA step and create a SAS data set called Weight. data Weight 1 infile your-input-file 2 input IDnumber week1 week16 3 WeightLossweek1-week16 4 run 5 proc print dataWeight 6 run 7. Raw data, in data management, is the collection of information as gathered by the source before it has been further processed, cleaned or analyzed. There are details in the Change All Pivot Charts with Single Cell Filter blog post. The components of a DATA step that produce a SAS data set from raw data stored in an external file are outlined here. There are NO macros, just Slicers that are stored on a different sheet. If you have several pivot charts on an Excel dashboard, and space is limited, here’s a way to change all pivot charts with a single filter cell. The men have a substantially longer career, from what this shows. A Slicer at the top left lets you see the data for Men or Women.Īnd this pivot chart shows the age ranges for the Men’s and Women’s players, from both countries.In the country subtotal row, conditional formatting highlights the higher amounts in red, and lower amounts in green.When people comprise the subject of an investigation, data collection. For each value, there are 3 different summary functions – Average, Minimum, and Maximum. Raw data or primary data are collected directly related to their object of study ( statistical units ).The first table shows player counts, for each position, plus age, height and weight. You can see some of my pivot tables below. I created pivot tables from this data, and wrote about it in a blog post on hockey player data analysis. There are 96 rows of data in the hockey player table.Explore it and a catalogue of free data sets across numerous topics below. The following COVID-19 data visualization is representative of the the types of visualizations that can be created using free public data sets. There are 15 columns of data, including 4 columns with calculations. With the information provided below, you can explore a number of free, accessible data sets and begin to create your own analyses.This sample has data from the 2018 Olympic Hockey teams, from Canada and the USA. There are 244 rows of data in the food sales table.There are 8 columns of data, including 1 column with a calculation.This sample has fictional food sales data. There are 500 rows of data in the insurance policy table.There are 10 columns of data, with no calculations. ![]() This sample has fictional commercial property insurance policy data.
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