# Difference between revisions of "Introduction to Microsoft Office"

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<span style="color: red;">Important: Please note that you must register on the [http://eg.poly.edu | <span style="color: red;">Important: Please note that you must register on the [http://eg.poly.edu EG1004 website] before performing the lab.</span> | ||

= Objective = | = Objective = | ||

The objective of this lab is to | The objective of this lab is to use Microsoft Excel to analyze two case studies. The first case study will evaluate the acceleration due to gravity of a free-falling body and the second case study will analyze the historical trends for energy consumption in the United States. | ||

= Overview = | = Overview = | ||

This lab is designed to teach | This lab is designed to teach proficiency with Microsoft Excel. This application is widely used in academia and the public and private sectors so proficiency in this application is a requirement. Completing assignments in EG1004 requires a basic competency in Microsoft Office and the following exercises are designed to create that competency. | ||

== Microsoft Office == | == Microsoft Office == | ||

Microsoft Office is a software suite that bundles Microsoft Excel, PowerPoint, Word, and | Microsoft Office is a software suite that bundles Microsoft Excel, PowerPoint, Word, and additional programs and apps. | ||

Microsoft Excel is a spreadsheet program. Its function is collecting, | Microsoft Excel is a spreadsheet program. Its function is collecting, processing, and analyzing data. Microsoft Excel has many features that streamline data analysis. It can be used to generate tables and graphs. It is useful for showing the relationships between data sets and identifying trends. Graphs will be required for many lab reports and presentations. | ||

Microsoft PowerPoint is a presentation application. Its function is to create slides for presentations. In this course, eight lab presentations, three Milestone presentations for the semester long design project, and a final sales presentation for the semester long design project will be created and presented using PowerPoint. | Microsoft PowerPoint is a presentation application. Its function is to create slides for presentations. In this course, eight lab presentations, three Milestone presentations for the semester-long design project, and a final sales presentation for the semester-long design project will be created and presented using PowerPoint. | ||

Microsoft Word is a word processing application. Its function is writing and editing text. In this course, Microsoft Word will be used to write nine lab reports. | Microsoft Word is a word processing application. Its function is writing and editing text. In this course, Microsoft Word will be used to write nine lab reports. | ||

== Saving Work == | |||

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. | |||

= Materials and Equipment = | = Materials and Equipment = | ||

Line 21: | Line 24: | ||

= Procedure = | = Procedure = | ||

== 1. Case Study: Free-fall == | |||

In this exercise, common Excel equations and tools will be explored through the context of a problem. | |||

A ball is dropped from the roof of the Bern Dibner Library building and the distance between the ball and the ground is measured and recorded as a function of time with a Lidar scanner. The time and distance data are shown in Table 1. The velocity in meters per second, average velocity in meters per second, and acceleration due to gravity in meters per second squared of the ball will be calculated using Excel. | |||

<center> | |||

{| class="wikitable" | |||

|+ Table 1: Time and Height Data | |||

!Time (s)!!Distance (m) | |||

|- | |||

|<center>0</center>||<center>19.620</center> | |||

|- | |||

|<center>0.2</center>||<center>19.424</center> | |||

|- | |||

|<center>0.4</center>||<center>18.835</center> | |||

|- | |||

|<center>0.6</center>||<center>17.854</center> | |||

|- | |||

|<center>0.8</center>||<center>16.481</center> | |||

|- | |||

|<center>1.0</center>||<center>14.715</center> | |||

|- | |||

|<center>1.2</center>||<center>12.557</center> | |||

|- | |||

|<center>1.4</center>||<center>10.006</center> | |||

|- | |||

|<center>1.6</center>||<center>7.063</center> | |||

|- | |||

|<center>1.8</center>||<center>3.728</center> | |||

|- | |||

|<center>2.0</center>||<center>0</center> | |||

|}</center> | |||

#Open the [[Media: Microsoft_Excel_Exercise_.xlsx|Microsoft Excel Template]] containing Table 1. The velocity of the ball is the change in distance over time. To calculate the instantaneous velocity at each point in time, a formula (1) is used. | |||

#:<center><math>v = \frac{x_2 - x_1}{t_2 - t_1}\,</math></center> <p style="text-align:right">(1)</p> | |||

##In (1),<i>v</i> is the instantaneous velocity, <i><math>x_2</math></i> is the second distance point, <i><math>x_1</math></i> is the first distance point, <i><math>t_2</math></i>is the time corresponding to the second distance point, and <i><math>t_1</math></i> is the time corresponding to the first distance point. | |||

###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 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). | |||

#Microsoft Excel is commonly used to visually represent data in graphs. 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. | |||

##:[[Image:Lab_ScatterPlots_Office.png|500px|thumb|center|Figure 1: Inserting a Scatter Plot]] | |||

##Right-click on the empty graph and select '''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. | |||

##:[[Image:Lab_Select_Office.png|500px|thumb|center|Figure 2: Utilizing the Select Data Source Window]] | |||

##In the '''Series X''' values textbox, delete the {1} and highlight cells A2 to A12. In the "Series Y" values textbox, 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 and title. | |||

#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 between the data points in (2). | |||

#:<center><math>y = mx + b</math></center> <p style="text-align:right">(2)</p> | |||

##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. | |||

##Check the slope of the graph and compare it to the acceleration due to gravity in New York, -9.802 <math>\frac{m}{s^2}</math>. Discuss and explain 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 | The statistical data presented in this exercise is derived 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 2019 distribution in renewable energy. These graphs will be appended with data regarding fossil fuel energy consumption. | ||

== | === Modeling a Yearly Trend === | ||

#Download the [[Media: Lab_Excel_Raw_Data.xlsx| Excel file]] containing the data for the yearly energy consumption of various renewable energy sources from 1949 to 2019. | |||

#The line graph will contain multiple lines that represent the different renewable energy sources. The procedure to graph the renewable energy consumption for hydroelectric power is provided. Complete a similar procedure for the remaining renewable energy sources. | |||

##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 3.[[Image:Lab10_excel_ribbion.png|500px|thumb|center|Figure 3: Inserting a Line Graph]] | |||

##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 4. A new window called '''Edit Series''' will appear.[[Image:Lab10_excel_dataSource.png|500px|thumb|center|Figure 4: Utilizing the Select Data Source Window ]] | |||

## 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 2019. | |||

##In the '''Series Y values''' textbox, highlight the total energy consumption from hydroelectric power in column B that corresponds to 1949 to 2019. The '''Edit Series''' should appear similar to Figure 5.[[Image:Lab10_excel_editSeries.png|500px|thumb|center|Figure 5: Utilizing the Edit Series Window ]] | |||

## Click '''OK''' to graph the Hydroelectric Power data. | |||

# Next 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 for the energy source in the graph. Include a legend by checking off '''Legend''' in the dropdown menu at the top right of the graph. | |||

=== Modeling the 2019 Distribution === | |||

#To visualize the distribution of the various renewable energy sources in recent years, a pie chart will be created based on the 2019 year. This part will continue with the raw 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 6.[[Image:Lab10_pieChart.png|500px|thumb|center|Figure 6: Inserting a Pie Chart]] | ||

# | #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. A new window called '''Edit Series''' will appear. | ||

#In the '''Series Values''' textbox, highlight each renewable energy sources’ total energy consumption for 2019. Completing this will automatically create five labels under the '''Horizontal (Category) Axis Labels''' tab, as shown in Figure 7.[[Image:Lab10_horizontalAxisLabels.png|500px|thumb|center|Figure 7: Horizontal Axis Labels]] | |||

#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) type in Hydroelectric Power and select '''OK'''. Repeat this step with the following rows with their corresponding energy sources. | |||

# | #Rename the title for the energy source shown in the graph. | ||

# | |||

#Edit the | |||

== | === Fossil Fuel Energy Modeling === | ||

#Copy the data in the Fossil Fuel data sheet (located at the bottom left of the Excel spreadsheet) to the main data sheet. Ensure that the data on the main sheet is not overwritten by the Fossil Fuel data. | |||

#Following the same steps as the Modeling a Yearly Trend procedure and Modeling a 2019 Distribution, create a new scatter plot and a new pie chart representing both renewable energy sources and fossil fuel energy sources. | |||

##The renewable energy sources scatter plot should have five series: Hydroelectric, Geothermal, Solar, Wind, & Biomass. | |||

##The fossil fuel energy sources should have three series: Coal, Natural Gas, & Petroleum. | |||

#There should be eight series. | |||

At the end of this case study there should be four graphs: | |||

*A scatter plot displaying the renewable energy sources | |||

*A pie chart showing the 2019 distribution in renewable energy | |||

*A scatter plot displaying both renewable energy sources and fossil fuel energy sources | |||

*A pie chart showing the 2019 distribution in renewable energy sources and fossil fuel energy sources | |||

= Assignment = | = Assignment = | ||

There is | The Excel files must be zipped in a folder and submitted to the [https://eg.poly.edu/submit.php EG1004 website] by 11:59 PM the night before your next lab. There is no individual lab report or team presentation for this part of Lab 1. | ||

## Latest revision as of 02:05, 31 August 2022

Important: Please note that you must register on the EG1004 website before performing the lab.

# Objective

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

# Overview

This lab is designed to teach proficiency with Microsoft Excel. This application is widely used in academia and the public and private sectors so proficiency in this application is a requirement. Completing assignments in EG1004 requires a basic competency in Microsoft Office and the following exercises are designed to create that competency.

## Microsoft Office

Microsoft Office is a software suite that bundles Microsoft Excel, PowerPoint, Word, and additional programs and apps.

Microsoft Excel is a spreadsheet program. Its function is collecting, processing, and analyzing data. Microsoft Excel has many features that streamline data analysis. It can be used to generate tables and graphs. It is useful for showing the relationships between data sets and identifying trends. Graphs will be required for many lab reports and presentations.

Microsoft PowerPoint is a presentation application. Its function is to create slides for presentations. In this course, eight lab presentations, three Milestone presentations for the semester-long design project, and a final sales presentation for the semester-long design project will be created and presented using PowerPoint.

Microsoft Word is a word processing application. Its function is writing and editing text. In this course, Microsoft Word will be used to write nine lab reports.

## Saving Work

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.

# 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 through the context of a problem.

A ball is dropped from the roof of the Bern Dibner Library building and the distance between the ball and the ground is measured and recorded as a function of time with a Lidar scanner. The time and distance data are shown in Table 1. The velocity in meters per second, average velocity in meters per second, and acceleration due to gravity in meters per second squared of the ball will be calculated using Excel.

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

- Open the Microsoft Excel Template containing Table 1. The velocity of the ball is the change in distance over time. To calculate the instantaneous velocity at each point in time, a formula (1) is used.
(1)

- 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.- 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 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).
- Microsoft Excel is commonly used to visually represent data in graphs. 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. - Right-click on the empty graph and select
**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 textbox, delete the {1} and highlight cells A2 to A12. In the "Series Y" values textbox, 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 and title.

- 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 between 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. - Check the slope of the graph and compare it to the acceleration due to gravity in New York, -9.802 . Discuss and explain 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 derived 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 2019 distribution in renewable energy. These graphs will be appended with data regarding fossil fuel energy consumption.

### Modeling a Yearly Trend

- Download the Excel file containing the data for the yearly energy consumption of various renewable energy sources from 1949 to 2019.
- The line graph will contain multiple lines that represent the different renewable energy sources. The procedure to graph the renewable energy consumption for hydroelectric power is provided. Complete a similar procedure for the remaining renewable energy sources.
- 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 3. - 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 4. 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 2019. - In the
**Series Y values**textbox, highlight the total energy consumption from hydroelectric power in column B that corresponds to 1949 to 2019. The**Edit Series**should appear similar to Figure 5. - Click
**OK**to graph the Hydroelectric Power data.

- On the Excel ribbon, click on the
- Next 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 for the energy source in the graph. Include a legend by checking off
**Legend**in the dropdown menu at the top right of the graph.

### Modeling the 2019 Distribution

- To visualize the distribution of the various renewable energy sources in recent years, a pie chart will be created based on the 2019 year. This part will continue with the raw 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 6. - 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. A new window called**Edit Series**will appear. - In the
**Series Values**textbox, highlight each renewable energy sources’ total energy consumption for 2019. Completing this will automatically create five labels under the**Horizontal (Category) Axis Labels**tab, as shown in Figure 7. - 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) type in Hydroelectric Power and select**OK**. Repeat this step with the following rows with their corresponding energy sources. - Rename the title for the energy source shown in the graph.

### Fossil Fuel Energy Modeling

- Copy the data in the Fossil Fuel data sheet (located at the bottom left of the Excel spreadsheet) to the main data sheet. Ensure that the data on the main sheet is not overwritten by the Fossil Fuel data.
- Following the same steps as the Modeling a Yearly Trend procedure and Modeling a 2019 Distribution, create a new scatter plot and a new pie chart representing both renewable energy sources and fossil fuel energy sources.
- The renewable energy sources scatter plot should have five series: Hydroelectric, Geothermal, Solar, Wind, & Biomass.
- The fossil fuel energy sources should have three series: Coal, Natural Gas, & Petroleum.

- There should be eight series.

At the end of this case study there should be four graphs:

- A scatter plot displaying the renewable energy sources
- A pie chart showing the 2019 distribution in renewable energy
- A scatter plot displaying both renewable energy sources and fossil fuel energy sources
- A pie chart showing the 2019 distribution in renewable energy sources and fossil fuel energy sources

# Assignment

The Excel files must be zipped in a folder and submitted to the EG1004 website by 11:59 PM the night before your next lab. There is no individual lab report or team presentation for this part of Lab 1.