# Introduction to Microsoft Office

Important: Please note that you must register on the EG1004 website before performing this lab. The information on the lab PCs cannot be accessed outside of the lab rooms. Email copies of all the files created on the lab PCs to a personal account and share it with all members of your group.

# Objective

The objective of this lab is to solve engineering problems using Microsoft Excel. The first case study will evaluate the acceleration due to gravity of a free-falling body. The second case study will analyze historical trends for energy consumption in the United States.

# Overview

Data collection, processing, and analysis is an integral part of studying and working in engineering. Spreadsheet software applications like **Microsoft Excel** (part of the Microsoft Office suite) allow engineers to perform these tasks efficiently. The software can be used to collect numerical and text data, visualize the data using tables and graphs, and perform calculations using various functions. Effective use of these tools allows engineers to identify relationships between variables in an experiment, observe trends, and more.

# Materials and Equipment

- A lab PC
- Microsoft Office suite

# Procedure

## 1. Case Study: Free-fall

In this exercise, common Excel equations and tools will be explored in the context of the following problem.

A ball is dropped from the roof of the Bern Dibner Library building. The distance between the ball and the ground is measured and recorded as a function of time with a LIDAR scanner (Table 1).

The change in distance over time (instantaneous velocity), average velocity, and acceleration due to gravity of the ball will be calculated using Excel. The standard abbreviation for the units will be used for all calculations.

Time (s) | Distance (m) |
---|---|

- Open the Microsoft Excel Template containing Table 1.
- To calculate the instantaneous velocity at each point in time, Formula 1, as listed below is used. In (1),
*v*is the instantaneous velocity, is the second distance point, is the first distance point, is the time corresponding to the second distance point, and is the time corresponding to the first distance point.(1)

- Assuming the initial velocity is zero,
**enter 0 into cell C2.**In cell C3, enter the formula**=(B3 - B2)/(A3 - A2)**. The velocity will be negative because the ball is traveling downwards.

- Reselect cell C3. Click and drag from the bottom-right corner of the cell (a black addition sign should appear) down to cell C12. This will copy the formula for the other cells in the column using the data in column A and column B (A3, A4, B3, B4 for cell C4, and so on).
- To calculate the average velocity of the ball across the 11 data points, select cell D2. Enter the formula
**=AVERAGE(C2:C12)**. - Create a scatter plot for the relationship between velocity and time.
- On the
**Excel**ribbon, click on the**Insert tab**, and click**Scatter**on the**Scatter option**under the**Charts**group. This should create a blank graph, as shown in Figure 1. If data was automatically inputted, right-click on the graph and click**Select Data**. Inside the Legend**entries (Series) table**, click on each entry and click the**– button**to delete. - Right-click on the empty graph and click
**Select Data**. - Under the
**Legends Entries(Series)**tab, click on the**Add option**, as shown in Figure 2. A new window called**Edit Series**will appear. - In the
**Series X values**text box, delete the {1} and highlight cells A2 to A12. In the**"Series Y"**text box, delete the {1} and highlight cells C2 to C12. Click**OK**to generate the scatter plot. - Add axis titles to the graph by clicking
**Axis Titles**in the dropdown menu at the top right of the graph. Rename the axis title titles by clicking on the vertical and horizontal titles.

- On the
- Acceleration is the rate of change of the velocity, or the slope of the velocity vs. time graph. For roughly linear data on Microsoft Excel, a line of best fit is used to approximate the relationship of the data points in (2).
(2)

- In the dropdown menu at the top right of the graph, hover over
**Trendline**and click on the black arrow. Select**More Options**. - Under the
**Format Trendline**window, check off**Display Equation**on chart and**Display R-Squared Value**on chart. The R-squared value is a measurement of how well the equation fits the data ranging from 0 to 1. - Check the slope of the graph and compare it to the acceleration due to gravity in New York, -9.802 . Discuss possible reasons for the discrepancy.

## 2. Case Study: Historical Energy Statistics

This exercise provides an overview of creating line graphs and pie charts in Excel to analyze the historical trends of renewable energy consumption in the United States.

The statistical data presented in this exercise is taken from the U.S. Energy Information Administration (EIA). Using the data, four graphs will be constructed: a line graph showing the yearly trend for hydroelectric power, geothermal power, solar power, wind power, and biomass power, and a pie chart representing the 2022 distribution in renewable energy. These graphs will be appended with data regarding fossil fuel energy consumption.

### Modeling an Annual Trend

- Download the Excel file containing the data for the yearly energy consumption of various renewable energy sources from 1949 to 2022.
- The line graph contains multiple lines that represent the different renewable energy sources. The procedure below shows how to graph the renewable energy consumption for hydroelectric power, as an example.
- On the Excel ribbon, click on the
**Insert tab**, and click**Scatter with Straight Line**on the Scatter option under the**Charts**group. This should create a blank line graph, as shown in Figure 6. If data was automatically inputted, right-click on the graph and select**Select Data**. Inside the Legend**entries (Series) table**, click on each entry and click the**– button**to delete. - Right-click on the empty graph and choose the
**Select Data**option. A new window will appear where the graphed data can be inputted. - Under the
**Legends Entries (Series)**tab, click on the**“Add”**option, as shown in Figure 6. A new window called**Edit Series**will appear. - In the
**Series Name**textbox, type in the name of the power source, Hydroelectric Power. - In the
**Series X values**textbox, highlight the years in column A from 1949 to 2022. - In the
**Series Y values**textbox, highlight the total energy consumption of hydroelectric power in column B that corresponds to 1949 to 2022. The**Edit Series**is shown in Figure 7. - Click
**OK**to create the graph of the Hydroelectric Power data.

- On the Excel ribbon, click on the
- The data for the remaining renewable energy sources must be added to the same graph. To add the data, repeat steps 2b to 2g for each renewable energy source.
- Rename the axes and titles of the graph. Include a legend by selecting
**Legend**in the dropdown menu located in the top right corner of the graph. See Figure 8 on how to navigate to**Legend**.

### Modeling the 2022 Distribution

- To visualize the distribution of the various renewable energy sources in recent years, a pie chart will be created based on the 2022 year. This part will continue with the data obtained from the previous part.
- On the
**Excel**ribbon, click on the**Insert tab**, and click**2-D Pie**on the**Pie Chart**option under the**Charts**group. This should create a blank line graph, as shown in Figure 9. - Right-click on the empty graph and choose the
**Select Data**option. A new window will appear where the graphed data can be inputted. - Under the
**Legends Entries (Series)**tab, click on**Add**. A new window called**Edit Series**will appear. - In the
**Series Values**textbox, highlight each renewable energy sources’ energy consumption for 2022. Completing this will automatically create five labels under the**Horizontal (Category) Axis Labels**tab, as shown in Figure 10. - Select the row labeled 1 and click on the
**Edit**option under**Horizontal (Category) Axis Labels**tab. In the**Axis-label range**textbox, select the names of each renewable energy source (B2:F2) select**OK**. - Rename the title to correspond to the data presented in the graph.

# Assignment

## File Submission

The Excel files must be submitted as a zipped folder to the EG1004 website by 11:59 PM the night before Lab 2. **There is no lab report or presentation for Lab 1.**