SlideShare uma empresa Scribd logo
1 de 12
2.2 Bar Graphs, Circle
Graphs, and Time-Series
        Graphs

         CHAPTER 2
      ORGANIZING DATA
Page 55
                           Bar Graphs

 A bar graph can be used to display quantitative or
  qualitative data.
 A clustered bar graph has two (or more) bars for
  each class
    Features of a Bar Graph
      Bars can be vertical or horizontal
      Bars have the same width and there is the same amount of space
       between bars
      The lengths of the bars represent values of the variable being
       displayed, the frequency of occurrence, or the percentage of
       occurrence. Use the same scale for each bar!
      The graph has a title, labels for each bar, and vertical scale or
       actual value for the length of each bar
Page 55
               Example 4 – Bar Graph

Figure 2-11 shows two bar graphs depicting the life expectancies
for men and women born in the designated year. Let’s analyze
the features of these graphs.            The graphs are clustered bar
                                                 graphs
                                                     One bar represents the life
                                                        expectancy for men, and the
                                                        other represents the life
                                                        expectancy for women.
                                                The height of each bar represents
                                                 the life expectancy (in years).
                                                Figure 2-11(b) is that of a
                                                 changing scale. The scale between
                                                 0 and 65 is compressed.
                                                     The changing scale
                                                        amplifies the apparent
                 Life Expectancy                        difference between life
                                                        spans for men and
                   Figure 2-11                          women, as well as the
                                                        increase in life spans from
                                                        those born in 1980 to the
                                                        projected span of those
                                                        born in 2010.
Page 56
                    Pareto Charts

 A Pareto Chart is a bar graph in which that bar
 height represents frequency of an event and the bars
 are ordered from highest to lowest.


             Example of a Pareto Chart:
Page 57
                        Circle Graphs

 A circle graph or pie chart is another way to
 represent data. Wedges of the circle display
 proportional parts of the total population that share
 a common characteristic.
    Wedges are usually labeled with percentages
    The total quantity is 100%, represented by the entire circle

                          Example of a Circle Graph:
To Make a Circle Graph

1. Find the percentage (relative frequency or
   fractional part times 100) for each class/category.
   Do your percents add up to 100%?
2. Find the number of degrees for each
   class/category: Number of Degrees = % • 360˚
3. Draw the circle graph. Divide the circle into wedges
   with the designated number of degrees. Label each
   piece with its class/category and percentage. Colors
   are extremely helpful!
Page 58
            Time-Series Graphs and Data

 A time-series graph is a graph that shows data
 measurements in chronological order.
    Data are plotted in order of occurrence at regular intervals
     over a period of time.


                                                  Example of a Time-
                                                  Series Graph:
Time-Series Graphs and Data

 Time-series data consist of measurements of the
 same variable for the same subject taken at regular
 intervals over a period of time.
To Make a Time-Series Graph

1. Put time on the horizontal scale and the variable
   being measured on the vertical scale
2. Plot the data as points, connect the points with line
   segments
Page 59
How to Decide Which Type of Graph to Use
 Bar Graphs
    Quantitative or qualitative data
        Quantitative Data: measurement itself can be shown
    Beware of changing scales and jumps
 Pareto Charts
    Identify the frequency of events or categories in decreasing order
 Circle Graphs
    Display how the total is dispersed in several categories
        Best if there are 10 or fewer wedges
    Good for qualitative data (or any data for which percentages make
     sense)
 Time-series Graphs
    Display how data change over time
    Units of time should be consistent
For All Graphs

 Provide a title, label the axes, and identify the units
  of measure.
 Do not let artwork or skewed perspective cloud the
  clarity of the information displayed.

                                   AP Test: You will
                                   be harshly penalized
                                   for a lack of titles and
                                   labels!
Homework

 Page 60
   #1 – 6

   #8, 9, 11, 13

Mais conteúdo relacionado

Mais procurados

skewness-141018135304-conversion-gate01-converted.pptx
skewness-141018135304-conversion-gate01-converted.pptxskewness-141018135304-conversion-gate01-converted.pptx
skewness-141018135304-conversion-gate01-converted.pptxanjaliagarwal93
 
Graph theory and its applications
Graph theory and its applicationsGraph theory and its applications
Graph theory and its applicationsManikanta satyala
 
Box and whisker plots
Box and whisker plotsBox and whisker plots
Box and whisker plotsGarima Gupta
 
Measures of Dispersion - Thiyagu
Measures of Dispersion - ThiyaguMeasures of Dispersion - Thiyagu
Measures of Dispersion - ThiyaguThiyagu K
 
Cartesian Coordinate (Rene Descartes)
Cartesian Coordinate (Rene Descartes)Cartesian Coordinate (Rene Descartes)
Cartesian Coordinate (Rene Descartes)Thiyagu K
 
Ppt for 1.1 introduction to statistical inference
Ppt for 1.1 introduction to statistical inferencePpt for 1.1 introduction to statistical inference
Ppt for 1.1 introduction to statistical inferencevasu Chemistry
 
GRADE 8-ILLUSTRATING THE SAS, ASA AND SSS.pptx
GRADE 8-ILLUSTRATING THE SAS, ASA AND SSS.pptxGRADE 8-ILLUSTRATING THE SAS, ASA AND SSS.pptx
GRADE 8-ILLUSTRATING THE SAS, ASA AND SSS.pptxMARemorozaGillianF
 
Range, quartiles, and interquartile range
Range, quartiles, and interquartile rangeRange, quartiles, and interquartile range
Range, quartiles, and interquartile rangeswarna sudha
 
Frequency Distributions for Organizing and Summarizing
Frequency Distributions for Organizing and Summarizing Frequency Distributions for Organizing and Summarizing
Frequency Distributions for Organizing and Summarizing Long Beach City College
 
Descriptive Statistics
Descriptive StatisticsDescriptive Statistics
Descriptive StatisticsBhagya Silva
 
STANDARD DEVIATION (2018) (STATISTICS)
STANDARD DEVIATION (2018) (STATISTICS)STANDARD DEVIATION (2018) (STATISTICS)
STANDARD DEVIATION (2018) (STATISTICS)sumanmathews
 
Measurement and scaling
Measurement and scalingMeasurement and scaling
Measurement and scalingBalaji P
 
Stem and leaf plot
Stem and leaf plotStem and leaf plot
Stem and leaf plotSusan Vo
 
Standard Deviation and Variance
Standard Deviation and VarianceStandard Deviation and Variance
Standard Deviation and VarianceJufil Hombria
 

Mais procurados (20)

Two Means Independent Samples
Two Means Independent Samples  Two Means Independent Samples
Two Means Independent Samples
 
Math 102- Statistics
Math 102- StatisticsMath 102- Statistics
Math 102- Statistics
 
skewness-141018135304-conversion-gate01-converted.pptx
skewness-141018135304-conversion-gate01-converted.pptxskewness-141018135304-conversion-gate01-converted.pptx
skewness-141018135304-conversion-gate01-converted.pptx
 
Graph theory and its applications
Graph theory and its applicationsGraph theory and its applications
Graph theory and its applications
 
Measure of central tendency
Measure of central tendencyMeasure of central tendency
Measure of central tendency
 
Box and whisker plots
Box and whisker plotsBox and whisker plots
Box and whisker plots
 
Measures of Dispersion - Thiyagu
Measures of Dispersion - ThiyaguMeasures of Dispersion - Thiyagu
Measures of Dispersion - Thiyagu
 
Mean of grouped data
Mean of grouped dataMean of grouped data
Mean of grouped data
 
Cartesian Coordinate (Rene Descartes)
Cartesian Coordinate (Rene Descartes)Cartesian Coordinate (Rene Descartes)
Cartesian Coordinate (Rene Descartes)
 
Ppt for 1.1 introduction to statistical inference
Ppt for 1.1 introduction to statistical inferencePpt for 1.1 introduction to statistical inference
Ppt for 1.1 introduction to statistical inference
 
Descriptive statistics
Descriptive statisticsDescriptive statistics
Descriptive statistics
 
GRADE 8-ILLUSTRATING THE SAS, ASA AND SSS.pptx
GRADE 8-ILLUSTRATING THE SAS, ASA AND SSS.pptxGRADE 8-ILLUSTRATING THE SAS, ASA AND SSS.pptx
GRADE 8-ILLUSTRATING THE SAS, ASA AND SSS.pptx
 
Range, quartiles, and interquartile range
Range, quartiles, and interquartile rangeRange, quartiles, and interquartile range
Range, quartiles, and interquartile range
 
Frequency Distributions for Organizing and Summarizing
Frequency Distributions for Organizing and Summarizing Frequency Distributions for Organizing and Summarizing
Frequency Distributions for Organizing and Summarizing
 
Descriptive Statistics
Descriptive StatisticsDescriptive Statistics
Descriptive Statistics
 
STANDARD DEVIATION (2018) (STATISTICS)
STANDARD DEVIATION (2018) (STATISTICS)STANDARD DEVIATION (2018) (STATISTICS)
STANDARD DEVIATION (2018) (STATISTICS)
 
Measurement and scaling
Measurement and scalingMeasurement and scaling
Measurement and scaling
 
Stem and leaf plot
Stem and leaf plotStem and leaf plot
Stem and leaf plot
 
Standard Deviation and Variance
Standard Deviation and VarianceStandard Deviation and Variance
Standard Deviation and Variance
 
MEAN DEVIATION
MEAN DEVIATIONMEAN DEVIATION
MEAN DEVIATION
 

Destaque

Area of triangles and trapezoids
Area of triangles and trapezoidsArea of triangles and trapezoids
Area of triangles and trapezoidsbujols
 
Kungfu math p4 slide9 (subtraction fraction)pdf
Kungfu math p4 slide9 (subtraction fraction)pdfKungfu math p4 slide9 (subtraction fraction)pdf
Kungfu math p4 slide9 (subtraction fraction)pdfkungfumath
 
Divisibility rules for 3,6,& 9
Divisibility rules for 3,6,& 9Divisibility rules for 3,6,& 9
Divisibility rules for 3,6,& 9Mary Capuyan
 
Place Value- Millions
Place Value- MillionsPlace Value- Millions
Place Value- Millionsrpanozzo
 
Subtracting Mixed Fractions by Chris Wilson
Subtracting Mixed Fractions by Chris WilsonSubtracting Mixed Fractions by Chris Wilson
Subtracting Mixed Fractions by Chris WilsonJulian Charter
 
Visualizing subtraction of fraction with a whole number
Visualizing subtraction of fraction with a whole numberVisualizing subtraction of fraction with a whole number
Visualizing subtraction of fraction with a whole numberJefferson Moreno
 
Rounding Numbers To Place Value Indicated
Rounding Numbers To Place Value IndicatedRounding Numbers To Place Value Indicated
Rounding Numbers To Place Value Indicateddalow65
 
Line & Bar Graphs
Line & Bar GraphsLine & Bar Graphs
Line & Bar Graphsherbison
 
10-1 and 10-2 Area of Parallelograms, Triangles, Trapezoids, Rhombuses, and K...
10-1 and 10-2 Area of Parallelograms, Triangles, Trapezoids, Rhombuses, and K...10-1 and 10-2 Area of Parallelograms, Triangles, Trapezoids, Rhombuses, and K...
10-1 and 10-2 Area of Parallelograms, Triangles, Trapezoids, Rhombuses, and K...jtentinger
 
Multiplication and division of fractions
Multiplication and division of fractionsMultiplication and division of fractions
Multiplication and division of fractionsNancy Madarang
 
Multiplication of fractions
Multiplication of fractionsMultiplication of fractions
Multiplication of fractionsNurul Naiemah
 
Volume of solid rectangular prism
Volume of solid rectangular prismVolume of solid rectangular prism
Volume of solid rectangular prismBrenda Obando
 
Oprations Of Decimal Numbers
Oprations Of Decimal NumbersOprations Of Decimal Numbers
Oprations Of Decimal NumbersNMSpirit
 
Order of Operations
Order of OperationsOrder of Operations
Order of Operationsmtront
 

Destaque (20)

Area of triangles and trapezoids
Area of triangles and trapezoidsArea of triangles and trapezoids
Area of triangles and trapezoids
 
Kungfu math p4 slide9 (subtraction fraction)pdf
Kungfu math p4 slide9 (subtraction fraction)pdfKungfu math p4 slide9 (subtraction fraction)pdf
Kungfu math p4 slide9 (subtraction fraction)pdf
 
Divisibility rules for 3,6,& 9
Divisibility rules for 3,6,& 9Divisibility rules for 3,6,& 9
Divisibility rules for 3,6,& 9
 
C1 ch05 03
C1 ch05 03C1 ch05 03
C1 ch05 03
 
Place Value- Millions
Place Value- MillionsPlace Value- Millions
Place Value- Millions
 
Subtracting Mixed Fractions by Chris Wilson
Subtracting Mixed Fractions by Chris WilsonSubtracting Mixed Fractions by Chris Wilson
Subtracting Mixed Fractions by Chris Wilson
 
X bunda
X bundaX bunda
X bunda
 
Fractions Xvi
Fractions XviFractions Xvi
Fractions Xvi
 
Visualizing subtraction of fraction with a whole number
Visualizing subtraction of fraction with a whole numberVisualizing subtraction of fraction with a whole number
Visualizing subtraction of fraction with a whole number
 
Rounding Numbers To Place Value Indicated
Rounding Numbers To Place Value IndicatedRounding Numbers To Place Value Indicated
Rounding Numbers To Place Value Indicated
 
Org Disp Data
Org Disp DataOrg Disp Data
Org Disp Data
 
Line & Bar Graphs
Line & Bar GraphsLine & Bar Graphs
Line & Bar Graphs
 
10-1 and 10-2 Area of Parallelograms, Triangles, Trapezoids, Rhombuses, and K...
10-1 and 10-2 Area of Parallelograms, Triangles, Trapezoids, Rhombuses, and K...10-1 and 10-2 Area of Parallelograms, Triangles, Trapezoids, Rhombuses, and K...
10-1 and 10-2 Area of Parallelograms, Triangles, Trapezoids, Rhombuses, and K...
 
Multiplication and division of fractions
Multiplication and division of fractionsMultiplication and division of fractions
Multiplication and division of fractions
 
Multiplication of fractions
Multiplication of fractionsMultiplication of fractions
Multiplication of fractions
 
Adding Mixed Fractions with Regrouping
Adding Mixed Fractions with RegroupingAdding Mixed Fractions with Regrouping
Adding Mixed Fractions with Regrouping
 
Volume of solid rectangular prism
Volume of solid rectangular prismVolume of solid rectangular prism
Volume of solid rectangular prism
 
Oprations Of Decimal Numbers
Oprations Of Decimal NumbersOprations Of Decimal Numbers
Oprations Of Decimal Numbers
 
Order of Operations
Order of OperationsOrder of Operations
Order of Operations
 
Water meter
Water meterWater meter
Water meter
 

Semelhante a 2.2 bar graphs, circle graphs, and time series graphs

Statistik Chapter 2
Statistik Chapter 2Statistik Chapter 2
Statistik Chapter 2WanBK Leo
 
Qt graphical representation of data
Qt   graphical representation of dataQt   graphical representation of data
Qt graphical representation of dataJoel Pais
 
Qt graphical representation of data
Qt   graphical representation of dataQt   graphical representation of data
Qt graphical representation of dataJoel Pais
 
Displaying Distributions with Graphs
Displaying Distributions with GraphsDisplaying Distributions with Graphs
Displaying Distributions with Graphsnszakir
 
Introduction to Weibull Probability Distribution
Introduction to Weibull Probability DistributionIntroduction to Weibull Probability Distribution
Introduction to Weibull Probability Distributionruwanp2000
 
Applied 40S March 24, 2009
Applied 40S March 24, 2009Applied 40S March 24, 2009
Applied 40S March 24, 2009Darren Kuropatwa
 
Graphical Presentation of Data - Rangga Masyhuri Nuur LLU 27.pptx
Graphical Presentation of Data - Rangga Masyhuri Nuur LLU 27.pptxGraphical Presentation of Data - Rangga Masyhuri Nuur LLU 27.pptx
Graphical Presentation of Data - Rangga Masyhuri Nuur LLU 27.pptxRanggaMasyhuriNuur
 
Coder Name Rebecca Oquendo
Coder Name  Rebecca Oquendo                                    Coder Name  Rebecca Oquendo
Coder Name Rebecca Oquendo DioneWang844
 
DATA GRAPHICS -REPRESENTATION OF DATA
DATA GRAPHICS -REPRESENTATION OF DATADATA GRAPHICS -REPRESENTATION OF DATA
DATA GRAPHICS -REPRESENTATION OF DATADr-Jitendra Patel
 
Coder Name Rebecca Oquendo .docx
Coder Name  Rebecca Oquendo                                    .docxCoder Name  Rebecca Oquendo                                    .docx
Coder Name Rebecca Oquendo .docxmary772
 
4-types-of-graphs.pptx
4-types-of-graphs.pptx4-types-of-graphs.pptx
4-types-of-graphs.pptxMJGamboa2
 
135. Graphic Presentation
135. Graphic Presentation135. Graphic Presentation
135. Graphic PresentationLAKSHMANAN S
 
Chapter 03 scatterplots and correlation
Chapter 03 scatterplots and correlationChapter 03 scatterplots and correlation
Chapter 03 scatterplots and correlationHamdy F. F. Mahmoud
 
Bar graphs and histograms
Bar graphs and histogramsBar graphs and histograms
Bar graphs and histogramsmirabubakar1
 
Maths A - Chapter 11
Maths A - Chapter 11Maths A - Chapter 11
Maths A - Chapter 11westy67968
 

Semelhante a 2.2 bar graphs, circle graphs, and time series graphs (20)

Statistik Chapter 2
Statistik Chapter 2Statistik Chapter 2
Statistik Chapter 2
 
Qt graphical representation of data
Qt   graphical representation of dataQt   graphical representation of data
Qt graphical representation of data
 
Qt graphical representation of data
Qt   graphical representation of dataQt   graphical representation of data
Qt graphical representation of data
 
Displaying Distributions with Graphs
Displaying Distributions with GraphsDisplaying Distributions with Graphs
Displaying Distributions with Graphs
 
Introduction to Weibull Probability Distribution
Introduction to Weibull Probability DistributionIntroduction to Weibull Probability Distribution
Introduction to Weibull Probability Distribution
 
Applied 40S March 24, 2009
Applied 40S March 24, 2009Applied 40S March 24, 2009
Applied 40S March 24, 2009
 
Graphical Presentation of Data - Rangga Masyhuri Nuur LLU 27.pptx
Graphical Presentation of Data - Rangga Masyhuri Nuur LLU 27.pptxGraphical Presentation of Data - Rangga Masyhuri Nuur LLU 27.pptx
Graphical Presentation of Data - Rangga Masyhuri Nuur LLU 27.pptx
 
Coder Name Rebecca Oquendo
Coder Name  Rebecca Oquendo                                    Coder Name  Rebecca Oquendo
Coder Name Rebecca Oquendo
 
DATA GRAPHICS -REPRESENTATION OF DATA
DATA GRAPHICS -REPRESENTATION OF DATADATA GRAPHICS -REPRESENTATION OF DATA
DATA GRAPHICS -REPRESENTATION OF DATA
 
Coder Name Rebecca Oquendo .docx
Coder Name  Rebecca Oquendo                                    .docxCoder Name  Rebecca Oquendo                                    .docx
Coder Name Rebecca Oquendo .docx
 
4-types-of-graphs.pptx
4-types-of-graphs.pptx4-types-of-graphs.pptx
4-types-of-graphs.pptx
 
Data presentation 2
Data presentation 2Data presentation 2
Data presentation 2
 
Graphical Displays of Data
Graphical Displays of DataGraphical Displays of Data
Graphical Displays of Data
 
135. Graphic Presentation
135. Graphic Presentation135. Graphic Presentation
135. Graphic Presentation
 
Chapter 03 scatterplots and correlation
Chapter 03 scatterplots and correlationChapter 03 scatterplots and correlation
Chapter 03 scatterplots and correlation
 
Data handling
Data handlingData handling
Data handling
 
Bar graphs and histograms
Bar graphs and histogramsBar graphs and histograms
Bar graphs and histograms
 
Bar graphs and histograms
Bar graphs and histogramsBar graphs and histograms
Bar graphs and histograms
 
Maths A - Chapter 11
Maths A - Chapter 11Maths A - Chapter 11
Maths A - Chapter 11
 
Statistical graphs
Statistical graphsStatistical graphs
Statistical graphs
 

Mais de leblance

Parent night contact&survey
Parent night contact&surveyParent night contact&survey
Parent night contact&surveyleblance
 
7.3 daqy 2
7.3 daqy 27.3 daqy 2
7.3 daqy 2leblance
 
10.3 part 1
10.3 part 110.3 part 1
10.3 part 1leblance
 
10.1 part2
10.1 part210.1 part2
10.1 part2leblance
 
10.1 part 1
10.1 part 110.1 part 1
10.1 part 1leblance
 
Ch 9 practice exam
Ch 9 practice examCh 9 practice exam
Ch 9 practice examleblance
 
5.4 synthetic division
5.4 synthetic division5.4 synthetic division
5.4 synthetic divisionleblance
 
5.4 long division
5.4 long division5.4 long division
5.4 long divisionleblance
 
9.3 Part 1
9.3 Part 19.3 Part 1
9.3 Part 1leblance
 
9.1 9.2 9.3 using the graph calc
9.1 9.2 9.3 using the graph calc9.1 9.2 9.3 using the graph calc
9.1 9.2 9.3 using the graph calcleblance
 
5.1 part 2
5.1 part 25.1 part 2
5.1 part 2leblance
 
9.2 lin reg coeff of det
9.2 lin reg coeff of det9.2 lin reg coeff of det
9.2 lin reg coeff of detleblance
 

Mais de leblance (20)

Parent night contact&survey
Parent night contact&surveyParent night contact&survey
Parent night contact&survey
 
7.3 daqy 2
7.3 daqy 27.3 daqy 2
7.3 daqy 2
 
7.3
7.37.3
7.3
 
7.1
7.17.1
7.1
 
7.2
7.27.2
7.2
 
10.3 part 1
10.3 part 110.3 part 1
10.3 part 1
 
10.2
10.210.2
10.2
 
10.1 part2
10.1 part210.1 part2
10.1 part2
 
10.1 part 1
10.1 part 110.1 part 1
10.1 part 1
 
Ch 9 practice exam
Ch 9 practice examCh 9 practice exam
Ch 9 practice exam
 
5.4 synthetic division
5.4 synthetic division5.4 synthetic division
5.4 synthetic division
 
5.4 long division
5.4 long division5.4 long division
5.4 long division
 
5.3
5.35.3
5.3
 
9.3 Part 1
9.3 Part 19.3 Part 1
9.3 Part 1
 
9.1 9.2 9.3 using the graph calc
9.1 9.2 9.3 using the graph calc9.1 9.2 9.3 using the graph calc
9.1 9.2 9.3 using the graph calc
 
5.2
5.25.2
5.2
 
5.1 part 2
5.1 part 25.1 part 2
5.1 part 2
 
5.1[1]
5.1[1]5.1[1]
5.1[1]
 
9.1
9.19.1
9.1
 
9.2 lin reg coeff of det
9.2 lin reg coeff of det9.2 lin reg coeff of det
9.2 lin reg coeff of det
 

Último

Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessPixlogix Infotech
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024Results
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...apidays
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CVKhem
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUK Journal
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Enterprise Knowledge
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 

Último (20)

Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your Business
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 

2.2 bar graphs, circle graphs, and time series graphs

  • 1. 2.2 Bar Graphs, Circle Graphs, and Time-Series Graphs CHAPTER 2 ORGANIZING DATA
  • 2. Page 55 Bar Graphs  A bar graph can be used to display quantitative or qualitative data.  A clustered bar graph has two (or more) bars for each class  Features of a Bar Graph  Bars can be vertical or horizontal  Bars have the same width and there is the same amount of space between bars  The lengths of the bars represent values of the variable being displayed, the frequency of occurrence, or the percentage of occurrence. Use the same scale for each bar!  The graph has a title, labels for each bar, and vertical scale or actual value for the length of each bar
  • 3. Page 55 Example 4 – Bar Graph Figure 2-11 shows two bar graphs depicting the life expectancies for men and women born in the designated year. Let’s analyze the features of these graphs.  The graphs are clustered bar graphs  One bar represents the life expectancy for men, and the other represents the life expectancy for women.  The height of each bar represents the life expectancy (in years).  Figure 2-11(b) is that of a changing scale. The scale between 0 and 65 is compressed.  The changing scale amplifies the apparent Life Expectancy difference between life spans for men and Figure 2-11 women, as well as the increase in life spans from those born in 1980 to the projected span of those born in 2010.
  • 4. Page 56 Pareto Charts  A Pareto Chart is a bar graph in which that bar height represents frequency of an event and the bars are ordered from highest to lowest. Example of a Pareto Chart:
  • 5. Page 57 Circle Graphs  A circle graph or pie chart is another way to represent data. Wedges of the circle display proportional parts of the total population that share a common characteristic.  Wedges are usually labeled with percentages  The total quantity is 100%, represented by the entire circle Example of a Circle Graph:
  • 6. To Make a Circle Graph 1. Find the percentage (relative frequency or fractional part times 100) for each class/category. Do your percents add up to 100%? 2. Find the number of degrees for each class/category: Number of Degrees = % • 360˚ 3. Draw the circle graph. Divide the circle into wedges with the designated number of degrees. Label each piece with its class/category and percentage. Colors are extremely helpful!
  • 7. Page 58 Time-Series Graphs and Data  A time-series graph is a graph that shows data measurements in chronological order.  Data are plotted in order of occurrence at regular intervals over a period of time. Example of a Time- Series Graph:
  • 8. Time-Series Graphs and Data  Time-series data consist of measurements of the same variable for the same subject taken at regular intervals over a period of time.
  • 9. To Make a Time-Series Graph 1. Put time on the horizontal scale and the variable being measured on the vertical scale 2. Plot the data as points, connect the points with line segments
  • 10. Page 59 How to Decide Which Type of Graph to Use  Bar Graphs  Quantitative or qualitative data  Quantitative Data: measurement itself can be shown  Beware of changing scales and jumps  Pareto Charts  Identify the frequency of events or categories in decreasing order  Circle Graphs  Display how the total is dispersed in several categories  Best if there are 10 or fewer wedges  Good for qualitative data (or any data for which percentages make sense)  Time-series Graphs  Display how data change over time  Units of time should be consistent
  • 11. For All Graphs  Provide a title, label the axes, and identify the units of measure.  Do not let artwork or skewed perspective cloud the clarity of the information displayed. AP Test: You will be harshly penalized for a lack of titles and labels!
  • 12. Homework  Page 60  #1 – 6  #8, 9, 11, 13