SlideShare a Scribd company logo
1 of 16
• is a graphic representation of
data from a worksheet.
1. Column Chart – Displays data changes over
a period of time or illustrates comparisons
among items.
2. Bar Chart –This chart illustrates
comparisons among individual items.
Subtypes:
 Clustered Bar – Compares values across
categories
 Stacked Bar – compares each value to its total
across categories.
0
20
40
60
80
100
120
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
1 Alnas, Lloyd Jimson V.
2 Aquino, Andrei Jim M.
3 Blance, Jeromme A.
4 Calip, Jermaine Jan L.
5 Cunanan, Godwin Jerome L.
0 100 200 300 400 500 600
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
7 Dollente, Billy C.
8 Dulay, Brandon Jess V.
9 Estabillo, Dheiven Kyle D.
10 Felimon, Gregorio Mark A.
11 Gallo, Gary Jr. G.
12 Harnois, Kenneth W.
3. Line Chart – Shows trends in data at equal
intervals.
Subtypes:
 Line – displays trends over time or categories.
 Stacked Line – displays the trend of the
contribution of each value over time or
categories.
 3-D Line – this line chart has thee-dimensional
visual effect.
0
100
200
300
400
500
600
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
19 Santiago, Niko Joshua T.
18 Palita, Teodorico Jr. D.
17 Padua, Janoah Mishael V.
16 Magno, Brixen Kirtley M.
15 Madroñal, Christopher D.
14 Madriaga, Charlie Magne M.
13 Leonin, Keith Jerome A.
4. Pie Chart – shows the size of the items that
make up a data series, proportional to the
sum of the items.
Subtype:
 Pie –This type of pie chart displays the
contribution of each value to a total.
 Exploded Pie –This type of pie chart displays
the contribution of each value to a total while
emphasizing individual values.
 Pie of Pie – This pie chart consolidates some
of the given data as one part of the pie, then
sets these data individually into a second pie.
 Bar of Pie – This pie chart does the same thing
as the Pie of Pie type, only, the consolidated
data is identified with a stacked bar chart.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
5. XY Chart – (also called scatter chart) shows
the relationships among the numeric values
in several data series or plots two groups of
numbers as one series of xy-coordinates.
6. Area Chart – This chart emphasizes the
magnitude of change over time.
7. Doughnut Charts – Shows the relationship
of parts to a whole; however, it can contain
more than one data series.
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
12 Guieb, Gwen Princess G.
11 Gamurot, Kate Allesandra M.
10 Gammad, Anna Fritzie T.
9 Cuenza, Aubrey J.
8 Cabantog, Zylamae Nicole D.
7 Bautista, Katherine T.
0
100
200
300
400
500
600
700
800
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
14 Larida, Altriyelle Aubrey P.
13 Laranang, Daniela M.
12 Guieb, Gwen Princess G.
11 Gamurot, Kate Allesandra M.
10 Gammad, Anna Fritzie T.
9 Cuenza, Aubrey J.
8 Cabantog, Zylamae Nicole D.
7 Bautista, Katherine T.
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
8. Surface Chart – This chart is useful when you
want to find optimum combinations between
two sets of data. As in a topographic map,
colors and patterns indicates areas that are in
the same range of values.
9. Bubble Chart – It compares sets of three values
and can be displayed with a three-dimensional
visual effect.The size of the bubble, or data
marker, indicates the value of a third variable.
-20
0
20
40
60
80
100
120
-20 0 20 40 60 80 100 120
Lindawan, Czarina T.
Marzan, Precious Mae C.
Ojenar, Kimberly O.
Paragas, Izza A.
10. Stock Chart –This type of chart is most
often used for scientific data.
11. Cylinder, Cone, or Pyramid Charts – These
chart types use cylinder, cone, or pyramid
data markers, respectively, to lend a
dramatic effect to column, bar, and three-
dimensional column charts.

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Types of Charts

  • 1. • is a graphic representation of data from a worksheet.
  • 2. 1. Column Chart – Displays data changes over a period of time or illustrates comparisons among items. 2. Bar Chart –This chart illustrates comparisons among individual items. Subtypes:  Clustered Bar – Compares values across categories  Stacked Bar – compares each value to its total across categories.
  • 3. 0 20 40 60 80 100 120 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 1 Alnas, Lloyd Jimson V. 2 Aquino, Andrei Jim M. 3 Blance, Jeromme A. 4 Calip, Jermaine Jan L. 5 Cunanan, Godwin Jerome L.
  • 4. 0 100 200 300 400 500 600 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 7 Dollente, Billy C. 8 Dulay, Brandon Jess V. 9 Estabillo, Dheiven Kyle D. 10 Felimon, Gregorio Mark A. 11 Gallo, Gary Jr. G. 12 Harnois, Kenneth W.
  • 5. 3. Line Chart – Shows trends in data at equal intervals. Subtypes:  Line – displays trends over time or categories.  Stacked Line – displays the trend of the contribution of each value over time or categories.  3-D Line – this line chart has thee-dimensional visual effect.
  • 6. 0 100 200 300 400 500 600 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 19 Santiago, Niko Joshua T. 18 Palita, Teodorico Jr. D. 17 Padua, Janoah Mishael V. 16 Magno, Brixen Kirtley M. 15 Madroñal, Christopher D. 14 Madriaga, Charlie Magne M. 13 Leonin, Keith Jerome A.
  • 7. 4. Pie Chart – shows the size of the items that make up a data series, proportional to the sum of the items. Subtype:  Pie –This type of pie chart displays the contribution of each value to a total.  Exploded Pie –This type of pie chart displays the contribution of each value to a total while emphasizing individual values.
  • 8.  Pie of Pie – This pie chart consolidates some of the given data as one part of the pie, then sets these data individually into a second pie.  Bar of Pie – This pie chart does the same thing as the Pie of Pie type, only, the consolidated data is identified with a stacked bar chart.
  • 9. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
  • 10. 5. XY Chart – (also called scatter chart) shows the relationships among the numeric values in several data series or plots two groups of numbers as one series of xy-coordinates. 6. Area Chart – This chart emphasizes the magnitude of change over time. 7. Doughnut Charts – Shows the relationship of parts to a whole; however, it can contain more than one data series.
  • 11. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 12 Guieb, Gwen Princess G. 11 Gamurot, Kate Allesandra M. 10 Gammad, Anna Fritzie T. 9 Cuenza, Aubrey J. 8 Cabantog, Zylamae Nicole D. 7 Bautista, Katherine T.
  • 12. 0 100 200 300 400 500 600 700 800 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 14 Larida, Altriyelle Aubrey P. 13 Laranang, Daniela M. 12 Guieb, Gwen Princess G. 11 Gamurot, Kate Allesandra M. 10 Gammad, Anna Fritzie T. 9 Cuenza, Aubrey J. 8 Cabantog, Zylamae Nicole D. 7 Bautista, Katherine T.
  • 14. 8. Surface Chart – This chart is useful when you want to find optimum combinations between two sets of data. As in a topographic map, colors and patterns indicates areas that are in the same range of values. 9. Bubble Chart – It compares sets of three values and can be displayed with a three-dimensional visual effect.The size of the bubble, or data marker, indicates the value of a third variable.
  • 15. -20 0 20 40 60 80 100 120 -20 0 20 40 60 80 100 120 Lindawan, Czarina T. Marzan, Precious Mae C. Ojenar, Kimberly O. Paragas, Izza A.
  • 16. 10. Stock Chart –This type of chart is most often used for scientific data. 11. Cylinder, Cone, or Pyramid Charts – These chart types use cylinder, cone, or pyramid data markers, respectively, to lend a dramatic effect to column, bar, and three- dimensional column charts.