Learn how to input and organize data in Minitab with ease. Learn how to enter data into Minitab and how to import or copy data from other sources such as Excel. Learn how to change data types and how to organize data using the stacking and unstacking of columns in Minitab. Understand that while Minitab worksheets look like Excel, they are not. Minitab is column-based. All commands apply to the entire column. Input and organize data in Minitab.
- [Voiceover] In this movie, I want to show you how to input and organize data in Minitab. With Minitab open, we see the session window up here, and the worksheet window here. Let's say you want to input data for delivery times from two locations. So we can type in the headings for these data, in C1 and C2, where C1 is delivery times. Notice I type heading in the gray row below C1 and C2, so let's say delivery time is 10.2 for location A, and with my clumsy fingers I type a B here let's say, and we get a stern warning from Minitab that this is not a valid numeric value, so we can go back and correct that.
Notice also, that in column C2 we have the C2-T as the title of that column. The T stands for text. The reason is, we have text data in column two, whereas in column one all we have is numeric data. So let's say that's B. And there you have it. That's how you type in data, or input data in Minitab. Let's say you already have data in Excel or some other file. We can import that and copy that over into Minitab.
So let's go to our Excel file, and here we have the data. Simply highlight headings and the data. You can do a copy and paste into Minitab, and put a cursor at the heading level, meaning the row below the common numbers, and paste. And there it is. So that's how you copy and paste data, or bring data in from outside onto Minitab. In these two columns we see that the actual delivery times are in column C1, and the identifier or subscript is in C2, to identify which location is the one performing it.
Since all the data is in one column we call this stacked data. If you want to see the data in two columns, whereby you have delivery times of A in one column, and delivery times of B in a different column that's called unstacked data. To unstack data, simply go to Data, Unstack, and you're asked here what data do you want to unstack. Do you want to unstack delivery time? So we can select delivery time and click Select, or a faster way to do that is to double-click on delivery time.
So let's do that again. Double-click, and the subscripts will be the identifier for location, in our case is in the column called location. So select that and double-click. You have a choice as to where you want to store the unstacked data. You can either store it in a separate, new worksheet, or you can put it in the last column after the current worksheet. Click OK. And there you have it. C3 and C4 now contain the delivery times for each location.
You might ask why bother with stacked and unstacked data. It's because some Minitab commands require stacked data, while others may require unstacked data. In this course, we'll be using both stacked and unstacked data. So the example here shows you how to do just that. In this movie you learned how to input data, learned about data types, learned how to import data, and finally how to unstack columns of data. These basic skills will be useful in this course, and when you start using Minitab.
Dr. Richard Chua shows how to import and organize data; open, save, and share Minitab worksheets and projects; create graphs and charts; and use descriptive statistics and statistical tests in Minitab to make inferences and data-driven decisions. Then learn how to make inferences on continuous data—running normality tests, variance tests, correlations, and simple regression tests. Finally, discover how to share your findings with others using reports and simple copy-and-paste techniques. Start watching to learn why Minitab is one of the world's most popular statistical software tools.
- Determine how to utilize display graphs and charts including bar, Pareto charts, and scatterplots.
- Recognize how to compare variance and multiple means.
- Identify how to compare medians.
- Explore how to run a multiple regression test and examine the resulting data.
- Break down how to compare inferences on continuous data.
- Differentiate how to compare proportions.