When it comes to analyzing data it is often found that there are large sets of data that are hard to distinguish and compare at once. This can be made simple by inserting a pivot table into excel. A pivot table summarizes thousands of rows at a time in Excel workbook. Using your dataset, Excel creates a report of each table in which you can edit the layout. Below are a few examples of pivot tables being used to help interpret data.

This pivot table displays sample data of office supplies. In this table you can see it provides information on

• Order Date: first column shows when the order was placed,
• Region: geographical area in which the sale was made
• Rep: sales representative’s name
• Item: name of the item sold
• Units: number of units sold
• UnitCost: cost of one unit
• Total: total cost of the order – Units x UnitCost

I then used the data set in Excel where I inserted this into the pivot table option and received the following report.

Another example of a pivot table is one of the most simple ones you can do. I imported this table from the website https://exceljet.net/pivot-tables/pivot-table-basic-count

This data did not have that many rows because the repeating values were removed ahead of time. However, the color tables were not unique. Instead of having to count up each person for each color, you can create a pivot table that can tell you the same data in seconds. Pivot tables provide a flexible way to rearrange and filter data interactively.

Using Microsoft Pivot Tables, you can estimate, and interpret data to identify relationships, occurrences, and comparative data. Depending on the tools that you use in your construction process, the building process can differ. Various occupations can benefit from Pivot Tables, but I will be discussing how they are utilized in Health Care.

Pivot Tables: Health Care

According to HealthCare Training Leader , Pivot Tables are of great value in medical practices. They can create a summary table based on a set of data that can be altered and assessed. Medical billing offices are able to use these interactive charts to simplify billing information by breaking it down so that it is easier to understand. They are also interactive

They Offer Different Tools Such As:

1. Switch the row/column layout of data sets in order to invert them
2. There are endless number of ways to arrange the table
3. To reveal or hide details, enlarge or minimize the table
4. You can drill down into any value in the able using the “drill-down” feature

Analyzing Multiple Occupational Requirements By Using Pivot Tables

The U.S Bureau of Labor Statistics provides a step-by-step guide for viewing and interpreting a spreadsheet of multiple occupational requirements, a link for downloading this set of information, and instructions for creating a Pivot Table. In truth, for a general overview of how to set up the Pivot Table, I prefer this site over the one we created ours with. This site gave detailed instructions on creating the table as well as step-by-step explanation of how the information is created and manipulated.

Several weeks ago, I utilized a pivot table to better visualize and organize data for a project. Our group examined the broad effects of the covid-19 pandemic, and I was responsible for analyzing medical information. The World Health Organization has some extremely reliable and relevant information, so I drew my data from here; however, the datasets can quite extensive and difficult to interpret.
As this data contained case and death rates of various countries and territories around the world, I created a pivot table that organized these values based upon a larger group. This larger group is the 6 global regions recognized by the World Health Organization. Therefore, the pivot table collected the data from each country and organized it by sum, based upon its respective global region.

As a result, I often find that pivot tables best suit a large and/or extensive dataset in which several specific values or metrics want to be observed. These tables offer a significantly extensive amount of customization within the particular variable, value, or unit being displayed. An example of this would be column customization to determine dataset groupings sum, count, average, maximum, minimum, or product value.

Sources

World Health Organization. (2021). WHO Coronavirus (COVID-19) Dashboard. Who.int. https://covid19.who.int/data

Pivot tables are the best features in Excel. A pivot table is a powerful tool to calculate, summarize, and analyze data that lets one see comparisons, patterns, and trends in your data. Last semester I took a class in which I learned about pivot tables so I know how it’s work. A pivot table allows us to transform columns into rows and rows into columns. It allows grouping by any field and using advanced calculations on them.

In the real world, you are working in a company and your boss gives the big data to analyze and do organization in an order. A pivot table is the key to that problem. I am going to present my example of the pivot table. Here is an example of the pivot table in which salespersons are in different countries for sales. Now, I want to organize the salesperson’s name based on their country with the order amount. With the help of the pivot table, it will be very easy.

In conclusion, a pivot table is the most interactive way to quickly summarize large amounts of data. The pivot table summarizes complex datasets into a table that allows us to easily find patterns or solutions to any questions we might have about the datasets.

So, the election date is coming up soon and I want to have an interesting topic that can be use with a Pivot Table. From what I understand is Pivot Table is used to summarize a long data set with multiple repeat data. What can be repeated multiple times and also related to the election date is the party and religious affiliation of U.S. presidents.

Here I written out a set of which president belongs to which party and which religion that said president affiliated with. It is useful in the case of “How many presidents is in this party?” or “How many presidents is following this religion?” because we have seen so many Democratic and Republican presidents from the past that we can’t easily summarize it by imagining it.

Using the Pivot Table helped sort out the total number of presidents belonged to any of the party and it can be vice versa to see how many presidents following what religion as well.

As you can see here is another interesting take on the Pivot Table. You can create a sub-topic and see which party is affiliated with which religion. It is entirely based on your need for what you can do with Excel, but another problem is how you create your table as well because I have not yet find a way to split party and religious affiliation into separate data set.

Before this class, I had no idea what a pivot table was. So by learning what it is and getting a quick lesson on how to use it, I believe it is best used for analyzing and summarizing sales figures and financial data. Here are a couple examples I found on the internet.

Pivot tables can save time by providing a quick and dynamic way to organize and analyze large datasets, allowing users to summarize information, identify patterns, and generate insights without the need for complex manual calculations. The interactive nature of pivot tables enables users to explore different perspectives of their data efficiently, making the process of data analysis more streamlined and time-effective.

Pivot tables are a useful data management tool that I have had to learn and use in classes. Pivot tables can help filter through large amounts of data and highlight what you want in an organized table. It is a small step into learning how to create a database and organize mass amounts of data. Below is an example of a basic pivot table and its uses.

So here we can see a two dimensional table displaying 7 countries and their produce outputs. The drop down arrows next to the word column can change the way the table is organized. You can hide some data as well as shift it from alphabetic order to greatest to least in terms of output production. Hiding data can be useful when you want to display only certain things where any other data may distract from your objective.

Pivot charts can handle a lot of different inputs and a massive amount of data. Pivot tables can be transported across programs. One created in excel can then be shared into a data visualization software like Microsoft Access, Power BI or Tableau. They all take the data from the tables and take their properties and make visuals out of them.