

Sorting is a great tool to identify trends and to analyze small amounts of data. In the window that pops up, click “Sort by ‘Diagnosis.’” To sort again by gender, click the button in the upper-left corner of the window that says “Add Level.” Then, click “Gender” and the “OK” button. Then, click the sort function (circled below in blue). On the top of the Excel tool bar, choose the “Data” tab. Using Excel 2016 for Windows, first select the data (“Control-A” selects all). (If this is the case, it is possible to create multiple Pivot Tables and manually add the results together.) Using the Sort Function in Excel It may be necessary to create additional columns labeled “Diagnosis 2” and “Diagnosis 3,” listing one diagnosis in each column. If there are multiple diagnoses for a single subject, it is important to list the diagnoses separately. It may be necessary to change the terminology used in the dataset in order to be consistent throughout such changes ought to be made at this preliminary stage. If multiple words are used to describe the same thing- for example, if “allergy” is written in the database as “allerg,” “allergy,” and “allergies” - the analysis will be more difficult, so it is best to choose one term and use it consistently.

In this case, for diagnoses, it is important to make sure that only one word, phrase, or abbreviation is used to describe each diagnosis. Data Analysis Example Hints for Analyzing Dataīefore using the sort function or Pivot Tables, the data must be “cleaned.” This means that the first step in data analysis is to go through the data and ensure that the style of data entry is consistent within columns. The data is sorted first by diagnosis and then by gender. Utilizing the sort function on the data set below, it is possible to count the number of people with allergies and determine how many of them are male or female. The sort function is best used for relatively small databases, while the Pivot Table is helpful for analyzing larger datasets and quickly grouping items.

Using the table below as an example, several methods of data analysis in Excel will be examined, including the sort function and the Pivot Table. Many statistical packages are available, including Microsoft Excel, which is free and can often be used for simple, efficient analysis. There are a variety of methods that may be utilized to analyze data.
