Computer Application Technology - Editing & Formatting charts.pptx
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Dealing with data-excel
Excel provides tools for graphing, analyzing, and formatting data. Key capabilities include:
1) Creating scatter plots and adding trendlines to show regression. The layout ribbon customizes graphs by adding titles, labels, and legends.
2) Performing calculations using functions and applying formulas down columns. Formatting options include number of decimals and scientific notation.
3) Adding error bars to express uncertainty in data on graphs. Both horizontal and vertical error bars can be customized.
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This document discusses various methods for visualizing and summarizing data. It describes different types of charts like column charts, line charts, pie charts, and scatter plots that can be used to visualize quantitative data. It also discusses tools in Excel for filtering, sorting, and summarizing data in tables and how techniques like Pareto analysis can help identify key factors.
4 4 making changes to graphs
This document discusses graphs and how to create and modify them. It covers basic graph concepts, changing graph types and properties like data series, axes, colors and pictures. Activities demonstrate how to change bar fill colors, graph type, axis scales and remove data series. Common graph types are defined as line, pie and column graphs. Key graph elements are also identified, such as data series, labels, legends and scales. Tips are provided for graph creation, selection of non-adjacent data, formatting axis values and modifying existing graphs.
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This document provides instructions for inserting and formatting charts in PowerPoint. It discusses how to insert a chart, enter data, change the chart type and style, modify the chart layout, and format specific elements. Charts are a visual way to represent data and make comparisons and trends easy to understand. The instructions cover the basic chart elements like the title, legend, and axes, and how to modify these elements using the Design, Layout, and Format tabs.
Microsoft Excel Tutorial
Excel is a computer program used to create electronic spreadsheets. It allows users to organize data, create charts and perform calculations. Key features include conditional formatting to highlight certain cells based on values, pivot tables to analyze and summarize large datasets, and functions like SUM, AVERAGE, and IF to perform calculations on cell values. Formulas can contain relative or absolute cell references, and functions follow an order of operations to evaluate complex formulas correctly.
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This document provides instructions for creating and modifying charts in Excel. It explains how to insert a chart using selected data, identify the different parts of a chart, change the chart type and layout, apply styles, and move the chart to a different worksheet. The goal is to teach the reader how to use charts effectively to visually communicate data trends and comparisons from a spreadsheet.
2.6b scatter plots and lines of best fit
This document provides instructions for using a graphing calculator to perform linear regression on a dataset and find the line of best fit. It describes entering paired x and y data values into separate lists, using the LinReg(ax+b) function to determine the regression equation, optionally creating a scatter plot of the original data and regression line, and using the line equation to forecast values. As an example, it analyzes a dataset of alternative-fueled vehicles in the US from 1997 to predict the number in 2014.
Instructions(1) Work through the pages below.(2) Use the us_demog.docx
Instructions:(1) Work through the pages below.(2) Use the us_demographics.jmp data table to: (a) select a continuous variable and generate a histogram
(b) select two continuous variables and determine the correlation coefficient(c) generate box plots using College Degrees as the Y, Response variable and Region as the X, Factor variable(3) Copy and paste the results for 2 (a, b, & c) in a Word document.
Histograms, Descriptive Statistics, and Stem and Leaf
Use to display and describe the distribution of continuous (numeric) variables. Histograms and stem and leaf plots allow you to quickly assess the shape, centering and spread of a distribution. For categorical (nominal or ordinal) variables, see the page on Bar Charts and Frequency Distributions.
Histograms and Descriptive Statistics
1. Open the JMP® data table us_demographics.jmp, select Analyze > Distribution.
2. Click on one of the continuous variables from Select Columns, and click Y, Columns (continuous variables have blue triangles).
3. Click OK to generate a histogram, outlier box plot and descriptive statistics.
· The percentiles, including quartiles and the median, are listed under Quantiles.
· The sample mean, standard deviation and other statistics are listed under Summary Statistics.
Example: Car Physical Data.jmp (Help > Sample Data)
Tips:
· To change the display from vertical to horizontal (as shown), click on the top red triangle and select Stack.
· To change the graphical display for a variable, or to select additional options, click on the red triangle for that variable.
· To display different summary statistics, use the red triangle next to Summary Statistics.
· To change all future output to horizontal, go to Preferences > Platforms > Distribution, click Stack and
Horizontal, then click OK.
Stem and Leaf Plot
To generate a stem and leaf plot, click on the red triangle for the variable and select Stem and Leaf.
Tips:
· A key to interpret the values is at the bottom of the plot. The top value in this example is 4300, the bottom value is 1700 (values have been rounded to the nearest 100).
· Click on values in the stem and leaf plot to select observations in both the histogram and the data table. Or, select bars in the histogram to select values in the stem and leaf plot and data table.
jmp.com/learn rev 07/2012
Use to display the distribution of continuous variables. They are also useful for comparing distributions.
Box Plots – One Variable
1. From the open JMP® data table, select Analyze > Distribution.
2. Click on another continuous variable from Select Columns, and Click Y, Columns (continuous variables have blue triangles).
3. Click OK. An outlier box plot is displayed by default next to the histogram (or above if horizontal layout). To display a quantile box plot, select the option from the red triangle for the variable.
jmp.com/learn rev 07/2012
Box Plots
The lines on the Quantile Box Plot correspond to the quantiles in the distribut.
Recommended
Dealing with data-excel
Excel provides tools for graphing, analyzing, and formatting data. Key capabilities include:
1) Creating scatter plots and adding trendlines to show regression. The layout ribbon customizes graphs by adding titles, labels, and legends.
2) Performing calculations using functions and applying formulas down columns. Formatting options include number of decimals and scientific notation.
3) Adding error bars to express uncertainty in data on graphs. Both horizontal and vertical error bars can be customized.
Introduction to Business analytics unit3
This document discusses various methods for visualizing and summarizing data. It describes different types of charts like column charts, line charts, pie charts, and scatter plots that can be used to visualize quantitative data. It also discusses tools in Excel for filtering, sorting, and summarizing data in tables and how techniques like Pareto analysis can help identify key factors.
4 4 making changes to graphs
This document discusses graphs and how to create and modify them. It covers basic graph concepts, changing graph types and properties like data series, axes, colors and pictures. Activities demonstrate how to change bar fill colors, graph type, axis scales and remove data series. Common graph types are defined as line, pie and column graphs. Key graph elements are also identified, such as data series, labels, legends and scales. Tips are provided for graph creation, selection of non-adjacent data, formatting axis values and modifying existing graphs.
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This document provides instructions for inserting and formatting charts in PowerPoint. It discusses how to insert a chart, enter data, change the chart type and style, modify the chart layout, and format specific elements. Charts are a visual way to represent data and make comparisons and trends easy to understand. The instructions cover the basic chart elements like the title, legend, and axes, and how to modify these elements using the Design, Layout, and Format tabs.
Microsoft Excel Tutorial
Excel is a computer program used to create electronic spreadsheets. It allows users to organize data, create charts and perform calculations. Key features include conditional formatting to highlight certain cells based on values, pivot tables to analyze and summarize large datasets, and functions like SUM, AVERAGE, and IF to perform calculations on cell values. Formulas can contain relative or absolute cell references, and functions follow an order of operations to evaluate complex formulas correctly.
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This document provides instructions for creating and modifying charts in Excel. It explains how to insert a chart using selected data, identify the different parts of a chart, change the chart type and layout, apply styles, and move the chart to a different worksheet. The goal is to teach the reader how to use charts effectively to visually communicate data trends and comparisons from a spreadsheet.
2.6b scatter plots and lines of best fit
This document provides instructions for using a graphing calculator to perform linear regression on a dataset and find the line of best fit. It describes entering paired x and y data values into separate lists, using the LinReg(ax+b) function to determine the regression equation, optionally creating a scatter plot of the original data and regression line, and using the line equation to forecast values. As an example, it analyzes a dataset of alternative-fueled vehicles in the US from 1997 to predict the number in 2014.
Instructions(1) Work through the pages below.(2) Use the us_demog.docx
Instructions:(1) Work through the pages below.(2) Use the us_demographics.jmp data table to: (a) select a continuous variable and generate a histogram
(b) select two continuous variables and determine the correlation coefficient(c) generate box plots using College Degrees as the Y, Response variable and Region as the X, Factor variable(3) Copy and paste the results for 2 (a, b, & c) in a Word document.
Histograms, Descriptive Statistics, and Stem and Leaf
Use to display and describe the distribution of continuous (numeric) variables. Histograms and stem and leaf plots allow you to quickly assess the shape, centering and spread of a distribution. For categorical (nominal or ordinal) variables, see the page on Bar Charts and Frequency Distributions.
Histograms and Descriptive Statistics
1. Open the JMP® data table us_demographics.jmp, select Analyze > Distribution.
2. Click on one of the continuous variables from Select Columns, and click Y, Columns (continuous variables have blue triangles).
3. Click OK to generate a histogram, outlier box plot and descriptive statistics.
· The percentiles, including quartiles and the median, are listed under Quantiles.
· The sample mean, standard deviation and other statistics are listed under Summary Statistics.
Example: Car Physical Data.jmp (Help > Sample Data)
Tips:
· To change the display from vertical to horizontal (as shown), click on the top red triangle and select Stack.
· To change the graphical display for a variable, or to select additional options, click on the red triangle for that variable.
· To display different summary statistics, use the red triangle next to Summary Statistics.
· To change all future output to horizontal, go to Preferences > Platforms > Distribution, click Stack and
Horizontal, then click OK.
Stem and Leaf Plot
To generate a stem and leaf plot, click on the red triangle for the variable and select Stem and Leaf.
Tips:
· A key to interpret the values is at the bottom of the plot. The top value in this example is 4300, the bottom value is 1700 (values have been rounded to the nearest 100).
· Click on values in the stem and leaf plot to select observations in both the histogram and the data table. Or, select bars in the histogram to select values in the stem and leaf plot and data table.
jmp.com/learn rev 07/2012
Use to display the distribution of continuous variables. They are also useful for comparing distributions.
Box Plots – One Variable
1. From the open JMP® data table, select Analyze > Distribution.
2. Click on another continuous variable from Select Columns, and Click Y, Columns (continuous variables have blue triangles).
3. Click OK. An outlier box plot is displayed by default next to the histogram (or above if horizontal layout). To display a quantile box plot, select the option from the red triangle for the variable.
jmp.com/learn rev 07/2012
Box Plots
The lines on the Quantile Box Plot correspond to the quantiles in the distribut.
Column charts
Column charts explained simply. Types of charts, and how to choose the right type of column chart and format it well.
Simple instructions for beginners, some knowledge of excel needed.
Level - Easy. 1st in a series on Column Charts, 3rd in my series on Charts.
Creating & Editing Charts In Microsoft Excel 2003
This document provides instructions for creating and editing charts in Microsoft Excel 2003. It discusses using the Chart Wizard to select the appropriate chart type based on the data, embedding or creating charts as separate worksheets, formatting and editing charts, and choosing the right chart type for different types of data comparisons. Key steps for creating a column chart using the Chart Wizard are outlined.
Lesson 10 working with charts
A chart is a tool used to communicate data graphically. This lesson teaches how to insert and modify charts in PowerPoint, including changing chart types, editing source data, formatting styles and layouts. The key parts of a chart are the source data, title, legend, and axes. Formatting options allow customizing the visual aspects and specific areas of charts.
Lesson 11 working with charts
A chart is a tool used to communicate data graphically. This lesson teaches how to insert and modify charts in PowerPoint, including changing chart types, editing source data, formatting styles and layouts. The key parts of a chart are the source data, title, legend, and axes. Formatting options allow customizing the visual aspects and specific areas of charts.
Excel Graphs Charts
This document provides instructions for creating various charts and graphs in Microsoft Excel 2003, including column graphs, pie charts, organization charts, and flowcharts. It describes how to select and format data, use the chart wizard to generate different chart types, customize chart elements, and insert charts into Word documents. Steps are outlined for selecting data ranges, adding titles and labels, changing background and text formatting, and printing or sharing charts. Organization charts and flowcharts can also be created using shapes and connectors on the drawing toolbar.
Stanley_Exp22_Excel_Ch03_ML1_Airports.xlsxPassengerTop 6 Unite.docx
Stanley_Exp22_Excel_Ch03_ML1_Airports.xlsx
PassengerTop 6 United States Airports by Traffic CountTotal Passenger Count20092010201120122013201420152016201720182019TrendsATLANTA GA (ATL)84,333,28486,018,89788,530,01791,466,09990,629,17093,347,14298,729,189101,040,559100,561,162103,740,636107,031,757CHICAGO IL (ORD)62,311,36764,410,84463,737,62164,214,78364,635,84767,576,62872,654,49075,157,03477,251,64879,870,79081,842,092LOS ANGELES CA (LAX)54,895,83057,666,49961,004,77562,541,35264,836,19168,608,02172,771,18479,084,70682,273,12885,250,02685,794,006DALLAS/FORT WORTH TX (DFW)53,214,21454,084,00054,921,29056,041,80458,121,65761,638,59563,229,31962,585,26963,661,51465,608,68771,608,008DENVER CO (DEN)47,869,55050,423,64351,277,27051,569,70450,967,83751,967,71552,482,90156,500,97159,578,70962,713,71667,166,830NEW YORK (JFK)45,545,20346,005,22847,246,90348,963,84350,236,35952,686,77156,044,67458,592,66559,271,63661,344,98762,439,578Source:https://www.transtats.bts.gov/https://www.transtats.bts.gov/
Exp22_Excel_Ch03_ML1_Airports_Instructions.docx
Grader - Instructions Excel 2022 ProjectExp22_Excel_Ch03_ML1_Airports
Project Description:
As an analyst for the airline industry, you track the number of passengers at the top six major U.S. airports: Atlanta (ATL), Chicago (ORD), Los Angeles (LAX), Dallas/Fort Worth (DFW), Denver (DEN), and New York (JFK). You researched passenger data and created a worksheet that lists the number of total yearly passengers. You will create a clustered column chart to compare the number of passengers at each airport. Then, you will create a line chart that compares trends over time. Next, you will create a bar chart to compare the passenger count for the latest year of data available and emphasize the airport with the largest number of passenger traffic. Finally, you will insert sparklines to visually represent trends in passengers at each airport over the ten-year period.
Steps to Perform:
Step
Instructions
Points Possible
1
Start Excel. Download and open the file named
Exp22_Excel_Ch03_ML1_Airports.xlsx. Grader has automatically added your last name to the beginning of the filename.
0
2
You want to create a clustered column chart to depict the passenger counts at the six airports over several years.
Create a clustered column chart for the range A4:L10. Cut the chart and paste it in cell A15.
5
3
You want to customize the column chart with a chart title, display the years as a data series, enlarge the chart to be easier to read, and apply a chart style.
•Type
Passengers Counts at Top U.S. Airports as the chart title.
•Swap the data on the category axis and in the legend.
•Set a
3.5" height and
11.4" width.
•Apply the Style 7 chart style.
10
4
The value axis takes up a lot of space for the numbers. You will adjust the value axis t.
4b6c1c5c-e913-4bbf-b3a4-41e23cb961ba-161004200047.pdf
The document discusses various data analysis and visualization techniques in Microsoft Excel including filtering, sorting, formulas, functions, pivot tables, charts and conditional formatting. It provides step-by-step instructions on how to use these tools to extract insights from data by filtering to select specific records, using formulas and functions to perform calculations, sorting data, validating data entry, creating pivot tables and pivot charts to summarize data, and formatting cells based on conditions.
How to make a conditional column chart in Excel
This document discusses how to create conditional formatting in Excel charts to highlight data above or below key performance indicators. It explains how to use the NA() function to create separate data series for above average, below average, and average values. This allows coloring the above and below average columns green and red respectively. It provides steps to set this up, including formatting the chart types and axes. Links to a video tutorial and sample file are also included.
Lesson 18 Creating Pivot Tables
This document discusses how to create and manipulate pivot table reports in Excel. Pivot tables allow users to analyze and manipulate numerical data in spreadsheets to answer questions. The document provides step-by-step instructions for creating a basic pivot table, adding filters, and moving or "pivoting" fields to view the data in different ways. It also describes how to create a pivot chart based on the data in a pivot table report.
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This document provides instructions for creating a pivot table and chart from a CSV spreadsheet to summarize data by location and period. The steps are: 1) Run a report to a CSV spreadsheet and name sheets by location. 2) Highlight data and create a pivot table placing location, period, and numbers in columns, rows, and values. 3) Change the date format in the pivot table to show month and year. 4) Create a pivot chart and add data labels and a title.
PAGE 1Using Microsoft Excel 2010 for Selected Tasks(Thr.docx
PAGE
1
Using Microsoft Excel 2010 for Selected Tasks
(Throughout this document, a set of data refers to observations of just one variable.)
(1) To portray as a bar chart a given frequency, relative frequency, or percentage distribution of a set of qualitative data, one may:
With the categories in one column and the counts or proportions or percentages in another:
1. Select (by clicking-and-dragging) the counts or proportions or percentages.
2. Choose (from upper menu) Insert, then Column (for vertical bars) or Bar (for horizontal bars), then the first pictured sub-type.
3. Right-click on a blank spot in the chart area, choose Select Data…, choose (right of center) Edit, enter the location of the categories, click OK, and click OK.
4. Choose (from upper menu) Layout, then Axis Titles to enter appropriate labels for the horizontal and vertical axes, then Chart Title to enter an appropriate title.
5. If you wish the counts or proportions or percentages to be shown on the bars: Choose (from menu) Data Labels, then your preferred position.
(2)To portray as a pie chart a given frequency, relative frequency, or percentage distribution, one may:
With the categories or numeric classes in one column and the counts or proportions or percentages in another:
1. Select (by clicking-and-dragging) the counts or proportions or percentages.
2. Choose (from upper menu) Insert, then Pie, then the first pictured sub-type.
3. Right-click on a blank spot in the chart area, choose Select Data…, choose (right of center) Edit, enter the location of the categories or numeric classes, click OK, and click OK.
4. (a) Choose (from upper menu) Layout, then Data Labels, then More Data Label Options (which will by default cause each “Value”--i.e, each count or proportion or percentage selected in step 1.--to appear on or near a pie slice); (b) if you wish each category or numeric class to appear on or near a pie slice, select Category name, then your preferred position; (c) click on Close; and (d) if the legend box is now superfluous, delete it.
5. Choose (from menu) Chart Title to enter an appropriate title.
(3) Counting the number of cells (within some range of cells) satisfying a particular condition:
Examples:
· To count how many of the cells A1 through A100 contain the word Agree, one may enter in some blank cell =COUNTIF(A1:A100, “Agree”) Note: In lieu of typing in “Agree”, one may click on a cell containing the word Agree.
· To count how many of the cells A1 through A100 contain the number 89, one may enter in some blank cell =COUNTIF(A1:A100, 89) Note: In lieu of typing in 89, one may click on a cell containing the number 89.
· To count how many of the cells A1 through A100 contain a number in the interval 10 to under 20, enter in some blank cell =COUNTIF(A1:A100,”<20”)-COUNTIF(A1:A100,”<10”)
· Note: Each relative address A1:A100 above may be replaced by the absolute address $A$1:$A$100. In lieu of typing in the absolute address $A$1:$A$100, .
Module 6 component of excel chart
The document describes the components of an Excel chart and how to create a chart using the Chart Wizard. It discusses the chart area, plot area, axes, titles, grid lines, data series, data points, labels, legends. It provides steps for using the Chart Wizard to select data and create a column chart with options to add titles, axes, gridlines, legends, and data labels. Components of a chart include the chart area, plot area, axes, titles, grid lines, data series, data points, labels, and legends.
Lesson 16 Working With Charts
This document discusses how to work with charts in Excel. It explains that charts allow audiences to more easily understand numbers in a spreadsheet by making comparisons and trends visual. It then provides instructions for inserting and modifying charts, including how to identify the different parts of a chart, change the chart type and layout, apply styles, and move the chart to another worksheet. The goal is to demonstrate how charts can be an effective tool for communicating data.
Karan Goyal
The document discusses charts in Microsoft Excel. It describes that charts provide an effective way to present data visually and help make comparisons. Excel allows the creation of many chart types including bar charts, column charts, line charts, pie charts, area charts and more. The document outlines how to embed charts in a worksheet and move charts to their own chart sheet in Excel.
Print18
Pivot table reports allow users to analyze and manipulate spreadsheet data in different ways to answer questions. They can be used to summarize large amounts of data. Pivot tables are created by selecting cells of data and using the Insert and PivotTable commands. Fields from the data can then be dragged into the pivot table report to group and summarize the data. Pivot tables can be filtered to focus on specific fields or values. The data can also be pivoted or moved between different areas of the report. Charts can also be created from the pivot table data.
Excel creating pivot table
Pivot table reports allow users to analyze and manipulate spreadsheet data in different ways to answer questions. They can be used to summarize large amounts of data. To create a pivot table, users select cells of data and insert a pivot table, which displays fields for the different data categories. Users can then drag fields into different areas to produce summaries, like showing total sales by salesperson. Filters can also be added to focus on specific regions or categories. The pivot table can then be pivoted or manipulated further by dragging fields to different areas. A pivot chart can also be created to visualize the pivot table data.
Excel Slope Instruction
This document provides instructions for using Excel to calculate regression lines and predicted values from a dataset. It describes setting up the spreadsheet with logical arrangement of data and labels. It then explains how to create columns for the standard deviation line and regression line using formulas or functions like SLOPE, INTERCEPT, and FORECAST. Finally, it outlines how to generate a scatter plot graph with lines showing the standard deviation and regression lines.
Histogram
This document provides instructions for using Excel to analyze credit card balance data from Capital Credit Union customers using a frequency distribution and histogram. The objectives are to open the Capital.xls data file, determine the minimum and maximum balances, compute 10 class intervals of $150 each from $90 to $1394, construct the bins, run the histogram data analysis tool, and format the histogram chart. The formatted histogram chart will display the frequency of credit card balances in 10 bins ranging from $0-239.99 to $1145-1339.99.
Read me stack up copy
This document provides instructions for using an interactive Excel spreadsheet for stack up analysis. It describes when to use an interactive spreadsheet, such as when doing multiple similar stack ups. It provides details on entering dimension and tolerance data, including different geometric dimensioning and tolerancing cases. It also describes starting a new stack up and provides some examples of build dimensions and handling dimensions from suppliers.
Excel Project 2 – MS Excel (Summer 2019) Use the pro.docx
Excel Project 2 – MS Excel
(Summer 2019)
Use the project description below to complete this activity (all the details are included in this document). For a
review of the complete rubric used in grading this exercise, click on the Assignments tab, then on the title
"Excel Project 2." Click on Show Rubrics if the rubric is not already displayed.
Summary
Create a Microsoft Excel workbook with four worksheets that provides extensive use of Excel capabilities
including charting, and written analysis and recommendations in support of a business enterprise.
A large rental car company has two metropolitan locations, one at the airport and another centrally located in
downtown. It has been operating since 2015 and each location summarizes its car rental revenue
quarterly. Both locations rent four classes of cars: economy, premium, hybrid, SUV. Rental revenue is
maintained separately for the four classes of rental vehicles.
The data for this case resides in the file summer2019rentalcars.txt and can be downloaded by clicking on the
Assignments tab, then on the data file name. It is a text file (with the file type .txt).
Do not create your own data. You must use the data provided and only the data provided.
Default Formatting. All labels, text, and numbers will be Arial 10, There will be $ and comma and
decimal point variations for numeric data, but Arial 10 will be the default font and font size.
Tutorials
Note: Tutorials that address activities used in this project have been assigned in Week 1, 2 and 3.
Step
Requirement
Comments
1
Open Excel and save a blank workbook with the following
name:
a. “Student’s LastFirstInitial Name Excel Project 2” Example:
SmithJaneP Excel Project 2.
b. Set Page Layout Orientation to Landscape.
Use Print Preview to
review how the first
worksheet would
print.
2 Change the name of the worksheet to Analysis by.
3
In the Analysis by worksheet:
a. Beginning in Row 1, enter the four labels in column
A (one label per row) in the following order: Name:,
Class/Section:, Project:, Date Due:
b. Place a blank row between each label. Please note
the colon : after each label.
c. Align the labels to the right side in the cells.
It may be necessary to adjust the column width so the four labels are
clearly visible within Column A (not extending into Column B).
Format for column A:
• Arial 10 point
• Normal font
• Right-align all
four labels in the
cells
Step
Requirement
Comments
4
In the Analysis by worksheet with all entries in column C:
a. Enter the appropriate values for your Name (in cell C1),
Class and Section (cell C3), Project (cell C5), and Date
(cell C7) across from the appropriate label in column A.
b. Use the formatting in the Comments column (to the right).
It may be necessary to adjust the column width so the four labels
are clearly visible within Column C (not extending into Colu.
Advanced Java[Extra Concepts, Not Difficult].docx
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Creating & Editing Charts In Microsoft Excel 2003
This document provides instructions for creating and editing charts in Microsoft Excel 2003. It discusses using the Chart Wizard to select the appropriate chart type based on the data, embedding or creating charts as separate worksheets, formatting and editing charts, and choosing the right chart type for different types of data comparisons. Key steps for creating a column chart using the Chart Wizard are outlined.
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A chart is a tool used to communicate data graphically. This lesson teaches how to insert and modify charts in PowerPoint, including changing chart types, editing source data, formatting styles and layouts. The key parts of a chart are the source data, title, legend, and axes. Formatting options allow customizing the visual aspects and specific areas of charts.
Excel Graphs Charts
This document provides instructions for creating various charts and graphs in Microsoft Excel 2003, including column graphs, pie charts, organization charts, and flowcharts. It describes how to select and format data, use the chart wizard to generate different chart types, customize chart elements, and insert charts into Word documents. Steps are outlined for selecting data ranges, adding titles and labels, changing background and text formatting, and printing or sharing charts. Organization charts and flowcharts can also be created using shapes and connectors on the drawing toolbar.
Stanley_Exp22_Excel_Ch03_ML1_Airports.xlsxPassengerTop 6 Unite.docx
Stanley_Exp22_Excel_Ch03_ML1_Airports.xlsx
PassengerTop 6 United States Airports by Traffic CountTotal Passenger Count20092010201120122013201420152016201720182019TrendsATLANTA GA (ATL)84,333,28486,018,89788,530,01791,466,09990,629,17093,347,14298,729,189101,040,559100,561,162103,740,636107,031,757CHICAGO IL (ORD)62,311,36764,410,84463,737,62164,214,78364,635,84767,576,62872,654,49075,157,03477,251,64879,870,79081,842,092LOS ANGELES CA (LAX)54,895,83057,666,49961,004,77562,541,35264,836,19168,608,02172,771,18479,084,70682,273,12885,250,02685,794,006DALLAS/FORT WORTH TX (DFW)53,214,21454,084,00054,921,29056,041,80458,121,65761,638,59563,229,31962,585,26963,661,51465,608,68771,608,008DENVER CO (DEN)47,869,55050,423,64351,277,27051,569,70450,967,83751,967,71552,482,90156,500,97159,578,70962,713,71667,166,830NEW YORK (JFK)45,545,20346,005,22847,246,90348,963,84350,236,35952,686,77156,044,67458,592,66559,271,63661,344,98762,439,578Source:https://www.transtats.bts.gov/https://www.transtats.bts.gov/
Exp22_Excel_Ch03_ML1_Airports_Instructions.docx
Grader - Instructions Excel 2022 ProjectExp22_Excel_Ch03_ML1_Airports
Project Description:
As an analyst for the airline industry, you track the number of passengers at the top six major U.S. airports: Atlanta (ATL), Chicago (ORD), Los Angeles (LAX), Dallas/Fort Worth (DFW), Denver (DEN), and New York (JFK). You researched passenger data and created a worksheet that lists the number of total yearly passengers. You will create a clustered column chart to compare the number of passengers at each airport. Then, you will create a line chart that compares trends over time. Next, you will create a bar chart to compare the passenger count for the latest year of data available and emphasize the airport with the largest number of passenger traffic. Finally, you will insert sparklines to visually represent trends in passengers at each airport over the ten-year period.
Steps to Perform:
Step
Instructions
Points Possible
1
Start Excel. Download and open the file named
Exp22_Excel_Ch03_ML1_Airports.xlsx. Grader has automatically added your last name to the beginning of the filename.
0
2
You want to create a clustered column chart to depict the passenger counts at the six airports over several years.
Create a clustered column chart for the range A4:L10. Cut the chart and paste it in cell A15.
5
3
You want to customize the column chart with a chart title, display the years as a data series, enlarge the chart to be easier to read, and apply a chart style.
•Type
Passengers Counts at Top U.S. Airports as the chart title.
•Swap the data on the category axis and in the legend.
•Set a
3.5" height and
11.4" width.
•Apply the Style 7 chart style.
10
4
The value axis takes up a lot of space for the numbers. You will adjust the value axis t.
4b6c1c5c-e913-4bbf-b3a4-41e23cb961ba-161004200047.pdf
The document discusses various data analysis and visualization techniques in Microsoft Excel including filtering, sorting, formulas, functions, pivot tables, charts and conditional formatting. It provides step-by-step instructions on how to use these tools to extract insights from data by filtering to select specific records, using formulas and functions to perform calculations, sorting data, validating data entry, creating pivot tables and pivot charts to summarize data, and formatting cells based on conditions.
How to make a conditional column chart in Excel
This document discusses how to create conditional formatting in Excel charts to highlight data above or below key performance indicators. It explains how to use the NA() function to create separate data series for above average, below average, and average values. This allows coloring the above and below average columns green and red respectively. It provides steps to set this up, including formatting the chart types and axes. Links to a video tutorial and sample file are also included.
Lesson 18 Creating Pivot Tables
This document discusses how to create and manipulate pivot table reports in Excel. Pivot tables allow users to analyze and manipulate numerical data in spreadsheets to answer questions. The document provides step-by-step instructions for creating a basic pivot table, adding filters, and moving or "pivoting" fields to view the data in different ways. It also describes how to create a pivot chart based on the data in a pivot table report.
Pivot Tables
This document provides instructions for creating a pivot table and chart from a CSV spreadsheet to summarize data by location and period. The steps are: 1) Run a report to a CSV spreadsheet and name sheets by location. 2) Highlight data and create a pivot table placing location, period, and numbers in columns, rows, and values. 3) Change the date format in the pivot table to show month and year. 4) Create a pivot chart and add data labels and a title.
PAGE 1Using Microsoft Excel 2010 for Selected Tasks(Thr.docx
PAGE
1
Using Microsoft Excel 2010 for Selected Tasks
(Throughout this document, a set of data refers to observations of just one variable.)
(1) To portray as a bar chart a given frequency, relative frequency, or percentage distribution of a set of qualitative data, one may:
With the categories in one column and the counts or proportions or percentages in another:
1. Select (by clicking-and-dragging) the counts or proportions or percentages.
2. Choose (from upper menu) Insert, then Column (for vertical bars) or Bar (for horizontal bars), then the first pictured sub-type.
3. Right-click on a blank spot in the chart area, choose Select Data…, choose (right of center) Edit, enter the location of the categories, click OK, and click OK.
4. Choose (from upper menu) Layout, then Axis Titles to enter appropriate labels for the horizontal and vertical axes, then Chart Title to enter an appropriate title.
5. If you wish the counts or proportions or percentages to be shown on the bars: Choose (from menu) Data Labels, then your preferred position.
(2)To portray as a pie chart a given frequency, relative frequency, or percentage distribution, one may:
With the categories or numeric classes in one column and the counts or proportions or percentages in another:
1. Select (by clicking-and-dragging) the counts or proportions or percentages.
2. Choose (from upper menu) Insert, then Pie, then the first pictured sub-type.
3. Right-click on a blank spot in the chart area, choose Select Data…, choose (right of center) Edit, enter the location of the categories or numeric classes, click OK, and click OK.
4. (a) Choose (from upper menu) Layout, then Data Labels, then More Data Label Options (which will by default cause each “Value”--i.e, each count or proportion or percentage selected in step 1.--to appear on or near a pie slice); (b) if you wish each category or numeric class to appear on or near a pie slice, select Category name, then your preferred position; (c) click on Close; and (d) if the legend box is now superfluous, delete it.
5. Choose (from menu) Chart Title to enter an appropriate title.
(3) Counting the number of cells (within some range of cells) satisfying a particular condition:
Examples:
· To count how many of the cells A1 through A100 contain the word Agree, one may enter in some blank cell =COUNTIF(A1:A100, “Agree”) Note: In lieu of typing in “Agree”, one may click on a cell containing the word Agree.
· To count how many of the cells A1 through A100 contain the number 89, one may enter in some blank cell =COUNTIF(A1:A100, 89) Note: In lieu of typing in 89, one may click on a cell containing the number 89.
· To count how many of the cells A1 through A100 contain a number in the interval 10 to under 20, enter in some blank cell =COUNTIF(A1:A100,”<20”)-COUNTIF(A1:A100,”<10”)
· Note: Each relative address A1:A100 above may be replaced by the absolute address $A$1:$A$100. In lieu of typing in the absolute address $A$1:$A$100, .
Module 6 component of excel chart
The document describes the components of an Excel chart and how to create a chart using the Chart Wizard. It discusses the chart area, plot area, axes, titles, grid lines, data series, data points, labels, legends. It provides steps for using the Chart Wizard to select data and create a column chart with options to add titles, axes, gridlines, legends, and data labels. Components of a chart include the chart area, plot area, axes, titles, grid lines, data series, data points, labels, and legends.
Lesson 16 Working With Charts
This document discusses how to work with charts in Excel. It explains that charts allow audiences to more easily understand numbers in a spreadsheet by making comparisons and trends visual. It then provides instructions for inserting and modifying charts, including how to identify the different parts of a chart, change the chart type and layout, apply styles, and move the chart to another worksheet. The goal is to demonstrate how charts can be an effective tool for communicating data.
Karan Goyal
The document discusses charts in Microsoft Excel. It describes that charts provide an effective way to present data visually and help make comparisons. Excel allows the creation of many chart types including bar charts, column charts, line charts, pie charts, area charts and more. The document outlines how to embed charts in a worksheet and move charts to their own chart sheet in Excel.
Print18
Pivot table reports allow users to analyze and manipulate spreadsheet data in different ways to answer questions. They can be used to summarize large amounts of data. Pivot tables are created by selecting cells of data and using the Insert and PivotTable commands. Fields from the data can then be dragged into the pivot table report to group and summarize the data. Pivot tables can be filtered to focus on specific fields or values. The data can also be pivoted or moved between different areas of the report. Charts can also be created from the pivot table data.
Excel creating pivot table
Pivot table reports allow users to analyze and manipulate spreadsheet data in different ways to answer questions. They can be used to summarize large amounts of data. To create a pivot table, users select cells of data and insert a pivot table, which displays fields for the different data categories. Users can then drag fields into different areas to produce summaries, like showing total sales by salesperson. Filters can also be added to focus on specific regions or categories. The pivot table can then be pivoted or manipulated further by dragging fields to different areas. A pivot chart can also be created to visualize the pivot table data.
Excel Slope Instruction
This document provides instructions for using Excel to calculate regression lines and predicted values from a dataset. It describes setting up the spreadsheet with logical arrangement of data and labels. It then explains how to create columns for the standard deviation line and regression line using formulas or functions like SLOPE, INTERCEPT, and FORECAST. Finally, it outlines how to generate a scatter plot graph with lines showing the standard deviation and regression lines.
Histogram
This document provides instructions for using Excel to analyze credit card balance data from Capital Credit Union customers using a frequency distribution and histogram. The objectives are to open the Capital.xls data file, determine the minimum and maximum balances, compute 10 class intervals of $150 each from $90 to $1394, construct the bins, run the histogram data analysis tool, and format the histogram chart. The formatted histogram chart will display the frequency of credit card balances in 10 bins ranging from $0-239.99 to $1145-1339.99.
Read me stack up copy
This document provides instructions for using an interactive Excel spreadsheet for stack up analysis. It describes when to use an interactive spreadsheet, such as when doing multiple similar stack ups. It provides details on entering dimension and tolerance data, including different geometric dimensioning and tolerancing cases. It also describes starting a new stack up and provides some examples of build dimensions and handling dimensions from suppliers.
Excel Project 2 – MS Excel (Summer 2019) Use the pro.docx
Excel Project 2 – MS Excel
(Summer 2019)
Use the project description below to complete this activity (all the details are included in this document). For a
review of the complete rubric used in grading this exercise, click on the Assignments tab, then on the title
"Excel Project 2." Click on Show Rubrics if the rubric is not already displayed.
Summary
Create a Microsoft Excel workbook with four worksheets that provides extensive use of Excel capabilities
including charting, and written analysis and recommendations in support of a business enterprise.
A large rental car company has two metropolitan locations, one at the airport and another centrally located in
downtown. It has been operating since 2015 and each location summarizes its car rental revenue
quarterly. Both locations rent four classes of cars: economy, premium, hybrid, SUV. Rental revenue is
maintained separately for the four classes of rental vehicles.
The data for this case resides in the file summer2019rentalcars.txt and can be downloaded by clicking on the
Assignments tab, then on the data file name. It is a text file (with the file type .txt).
Do not create your own data. You must use the data provided and only the data provided.
Default Formatting. All labels, text, and numbers will be Arial 10, There will be $ and comma and
decimal point variations for numeric data, but Arial 10 will be the default font and font size.
Tutorials
Note: Tutorials that address activities used in this project have been assigned in Week 1, 2 and 3.
Step
Requirement
Comments
1
Open Excel and save a blank workbook with the following
name:
a. “Student’s LastFirstInitial Name Excel Project 2” Example:
SmithJaneP Excel Project 2.
b. Set Page Layout Orientation to Landscape.
Use Print Preview to
review how the first
worksheet would
print.
2 Change the name of the worksheet to Analysis by.
3
In the Analysis by worksheet:
a. Beginning in Row 1, enter the four labels in column
A (one label per row) in the following order: Name:,
Class/Section:, Project:, Date Due:
b. Place a blank row between each label. Please note
the colon : after each label.
c. Align the labels to the right side in the cells.
It may be necessary to adjust the column width so the four labels are
clearly visible within Column A (not extending into Column B).
Format for column A:
• Arial 10 point
• Normal font
• Right-align all
four labels in the
cells
Step
Requirement
Comments
4
In the Analysis by worksheet with all entries in column C:
a. Enter the appropriate values for your Name (in cell C1),
Class and Section (cell C3), Project (cell C5), and Date
(cell C7) across from the appropriate label in column A.
b. Use the formatting in the Comments column (to the right).
It may be necessary to adjust the column width so the four labels
are clearly visible within Column C (not extending into Colu.
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Computer Application Technology - Editing & Formatting charts.pptx
- 1. Solution Development Spreadsheets – Editing & Formatting Charts
- 2. Graphs should be easy to read and interpret. Graphs should always have a meaningful title If line or column graphs are used, always label the axes With Pie charts, always show the values or percentages as data labels Remove legends if they are not meaningful Remember
- 3. Parts of a chart 6615 6615 11890 11890 16245 16245 11890 16245 16245 11890 16245 0 2000 4000 6000 8000 10000 12000 14000 16000 18000 Adams Lyons Tate Lee Parks Naidoo Wan Curin Dlamini Davids Zwai Cost (Rands) Surname Cost of Tour per person Price Chart Title Gridlines Legend X-Axis Y- Axis Data Labels Data Series
- 4. Changing the Scale on the Axes To make changes to an axis, right click on the relevant axis and choose Format Axis from the popup menu
- 5. Changing the Scale on the Axes The Format Axis Dialogue Box opens. You can then change the scales on the Minimum, Maximum, Major or Minor unit
- 6. Look at the difference in the examples below between having the Minimum values set on zero and in the second chart on 50 Example of Minimum Value change 0 10 20 30 40 50 60 70 80 Term 1 Term 2 Term 3 Term 4 Average Terms 2013 CAT Gr 12 Average Marks 50 55 60 65 70 75 Term 1 Term 2 Term 3 Term 4 Average Terms 2013 CAT Gr 12 Average Marks Minimum unit 0 Minimum unit 50
- 7. Look at the difference in the examples below between having the Maximum value set on 70 and in the second chart on 60 Example of Maximum Values Changes 0 10 20 30 40 50 60 70 Term 1 Term 2 Term 3 Term 4 Average Mark 2013 Terms Average CAT Marks 2013 0 10 20 30 40 50 60 Term 1 Term 2 Term 3 Term 4 Average Mark 2013 Terms Average CAT Marks 2013 Maximum unit 70 Maximum unit 70
- 8. The charts below indicate the major unit on the left in a scale of intervals of 5 units and on the right in a scale of intervals of 10 units. Major Unit Change
- 9. The data series is the data that is used to create the graph. Sometimes it’s necessary to change the data series. In the example below, the X-Axis should be represented by Terms 1 to Terms 4 and not numbered 1, 2, 3, 4. Changing the Data Series 0 10 20 30 40 50 60 70 1 2 3 4 CAT Average marks for 2013 & 2013 Series1 Series2
- 10. To change the labels on the X-Axis: Right-click on the X-Axis and choose Select Data Changing the Data Series Right click on the X-Axis and click on Select Data
- 11. The Select Data Source dialog box opens Click on Edit on Horizontal Axis labels to correct the labels of the X-Axis Changing the Data Series
- 12. Another dialog box will open where you can choose the cells that contain the values for the labels on the X-axis. (just highlight the cells on your spreadsheet) Click OK The correct data is displayed on the X-Axis Changing the Data Series
- 13. Select the data you want illustrated in the chart Creating a Stacked Chart Highlight/Select data
- 14. Click on the Insert Tab Choose the chart from the Charts group Choose the stacked chart The cart will be inserted into your spreadsheet Creating stacked bar & Column graphs