Explanation of graphs

1. Graphs

2. What is a graph?
 A graph is a mathematical diagram which shows the
relationship between two or more sets of numbers or
measurements.
 A chart is a graphical representation of data , in which "the
data is represented by symbols, such as bars in a bar chart,
lines in a line chart, or slices in a piechart“
 A data chart is a type of diagram or graph, that organizes and
represents a set of numerical or qualitative data.

3. Types of graphs
 Bar chart
 Line chart
 Pie chart
 Histograms

4. Bar graph
 A bar graph is a chart that uses bars to show comparisons
between categories of data. The bars can be either horizontal
or vertical. Bar graphs with vertical bars are sometimes
called vertical bar graphs. A bar graph will have two axes.
One axis will describe the types of categories being
compared, and the other will have numerical values that
represent the values of the data.

5. Diagram of Bar Graph

6. Line Graph
 A line chart is a graphical representation of an asset's
historical price action that connects a series of data points
with a continuous line. This is the most basic type of chart
used in finance and typically only depicts a security's closing
prices over time. Line charts can be used on any timeframe,
but most often using day-to-day price changes.

7. Diagram of Line Graph

8. Pie Chart
 A pie chart (or a circle chart) is a circular statistical graphic,
which is divided into slices to illustrate numerical proportion.
In a pie chart, the arc length of each slice (and consequently
its central angle and area), is proportional to the quantity it
represents. While it is named for its resemblance to a pie
which has been sliced, there are variations on the way it can
be presented. The earliest known pie chart is generally
credited to William Playfair's Statistical Breviary of 1801.

9. Diagram of Pie Chart

10. Histogram
 A histogram is an approximate representation of the
distribution of numerical or categorical data. It was first
introduced by Karl Pearson. To construct a histogram, the
first step is to "bin" (or "bucket") the range of values—that is,
divide the entire range of values into a series of intervals—
and then count how many values fall into each interval.

11. Diagram of Histogram

12. Thank You!