Introduction:
A rectangular co-ordinate system, or Cartesian plane, is a set of two intersect and vertical axes forming a xy plane. The horizontal axis is generally labelled the x-axis and the vertical axis is generally labelled the y-axis. The two axes split the planes into four parts known as quadrants. Any point on the plane communicate to an ordered pair (x, y) of valid numbers x and y.
Types of Plot Points:
Line plot
Scatter plot
Stem and Leaf Plot
Box plot
Line plot: A line graph plots constant data as points and then joins them with a line. Multiple data sets can be graphed simultaneously, but a key have to be used.
Scatter plot: A scatter plot defined as the organization between the two factors of the testing. A line which is used to find the positive, negative, or no correlation.
Stem and Leaf Plot: Stem and leaf plot points are defined as the documentation data values in rows, and can easily be made into a histogram. Large information sets can be accommodated by splitting stems.
Box plot: A box plot points are defined as a concise graph screening the five point abstract. Multiple box plots can be drawn side by side to evaluate more than one information set.
Advantages and Disadvantages of Plot Points:
Line plot
Advantages:
Immediate analysis of data.
Shows variety, minimum & maximum, gaps & clusters, and outliers simply.
Accurate values retained.
Disadvantages:
Not as visually attractive.
Top for below 50 data values.
Desires small range of data.
Scatter plot
Advantages:
Shows a movement in the data connection.
Retains accurate data ideals and example size.
Shows lowest/highest and outliers.
Disadvantages:
Hard to imagine outcome in huge data sets.
Flat drift line gives indecisive results.
Stem and Leaf Plot
Advantages:
Concise symbol of data.
Shows range, smallest & highest, gaps & clusters, and outliers simple.
Can hold very large data set.
Disadvantages:
Not visually attractive.
Does not simply indicate events of centrality for huge data sets.
Box plot
Advantages:
Shows 5-point review and outliers.
Simply compare two or supplementary information sets.
Handles extremely large data sets easily.
Disadvantages:
Not as visually attractive as extra graphs.
Accurate values not retained.
A rectangular co-ordinate system, or Cartesian plane, is a set of two intersect and vertical axes forming a xy plane. The horizontal axis is generally labelled the x-axis and the vertical axis is generally labelled the y-axis. The two axes split the planes into four parts known as quadrants. Any point on the plane communicate to an ordered pair (x, y) of valid numbers x and y.
Types of Plot Points:
Line plot
Scatter plot
Stem and Leaf Plot
Box plot
Line plot: A line graph plots constant data as points and then joins them with a line. Multiple data sets can be graphed simultaneously, but a key have to be used.
Scatter plot: A scatter plot defined as the organization between the two factors of the testing. A line which is used to find the positive, negative, or no correlation.
Stem and Leaf Plot: Stem and leaf plot points are defined as the documentation data values in rows, and can easily be made into a histogram. Large information sets can be accommodated by splitting stems.
Box plot: A box plot points are defined as a concise graph screening the five point abstract. Multiple box plots can be drawn side by side to evaluate more than one information set.
Advantages and Disadvantages of Plot Points:
Line plot
Advantages:
Immediate analysis of data.
Shows variety, minimum & maximum, gaps & clusters, and outliers simply.
Accurate values retained.
Disadvantages:
Not as visually attractive.
Top for below 50 data values.
Desires small range of data.
Scatter plot
Advantages:
Shows a movement in the data connection.
Retains accurate data ideals and example size.
Shows lowest/highest and outliers.
Disadvantages:
Hard to imagine outcome in huge data sets.
Flat drift line gives indecisive results.
Stem and Leaf Plot
Advantages:
Concise symbol of data.
Shows range, smallest & highest, gaps & clusters, and outliers simple.
Can hold very large data set.
Disadvantages:
Not visually attractive.
Does not simply indicate events of centrality for huge data sets.
Box plot
Advantages:
Shows 5-point review and outliers.
Simply compare two or supplementary information sets.
Handles extremely large data sets easily.
Disadvantages:
Not as visually attractive as extra graphs.
Accurate values not retained.
