Bar Chart

Radar Chart

Line Chart

Gantt Chart

Some popular types of Pie Chart

Visualization charts and when
to use:

Funnel/Pyramid
Chart

Area Chart

Box and
Whisker Plot
Scatter Plot
Heat Map

What You will find in this : Covered Popular Charts| Their Types |When to use them |Pros and Cons of each| Quick guide for
type of visualization needed

By:-
Bar Chart

Bar Chart:

A bar chart is used to show

comparisons between different groups.
It is useful when you want to compare
multiple categories or items across a
specific variable, such as sales revenue
or the number of customers in different
regions.
Bar charts Variations:-
Bar: Compares values of items across categories.
Bar Stacked: A bar chart with two or more data
series stacked one on top of the other that shows
how each value contributes to the total.
Bar Percent Stacked: A bar chart with two or more
data series stacked one on top of the other to sum
up to 100% that shows how each value contributes
to the total with the relative size of each series
representing its contribution to the total.
 Line Chart
Simple example of Line chart:

Line Chart:

A line chart is used to show trends over

time. It is useful for tracking changes in
a variable over a period of time, such as
stock prices or website traffic.
Line charts Variations:-
Multi-line chart: In this type of line chart, multiple data series are plotted
on the same chart using different colors or symbols. This makes it easy to
compare the trends of multiple data series.

Area chart: This is a variation of the line chart where the area between the
x-axis and the line is filled with colour. This creates a visual representation
of the total value of the data series and can make it easier to compare the
trends of multiple data series.

Step chart: This is a variation of the line chart where the data points are
connected with horizontal and vertical lines to create a step-like
appearance. This type of chart is useful for showing changes that occur at
specific points in time or for highlighting data points that occur at regular
intervals.

Spline chart: This is a variation of the line chart where the data points are
connected with a smooth curve instead of straight lines. This can make it
easier to identify trends in the data, but it may also obscure some of the
smaller variations in the data.
 Pie Chart

Example of Pie chart:

Pie Chart:

A pie chart is used to show proportions

of a whole. It is useful when you want to
compare the relative sizes of different
categories or subcategories, such as
market share or customer
demographics.

Pie charts Variations:-

Exploded pie chart: In this type of pie chart, one or more
slices are separated from the rest of the chart to highlight
their importance or to draw attention to specific data points.
3D pie chart: This type of pie chart adds a third dimension to
the chart, making it look more like a pie with raised slices.
However, this type of chart can be difficult to read and
interpret accurately.
Donut chart: This is a variation of the pie chart that has a hole
in the center, creating a "donut" shape. The center can be
used to display additional information or to emphasize a
particular data point.

Types of Pie chart

 Area Chart
Example of Area chart:

Area Chart:

An area chart is similar to a line chart

but is filled with color or shading to
show the area underneath the line. It is
useful for showing changes in quantities
over time and for comparing the relative
contributions of multiple variables to a
Types of Area chart: total.

Area charts Variations:-

Area: Compare trends over a period of time or in specific
categories.
Area Stacked: An area chart with two or more data series
stacked one on top of the other, shows how each value
contributes to the total.
Area Percent Stacked: An area chart with two or more data
series stacked one on top of the other to sum up to 100%,
shows how each value contributes to the total with the relative
size of each series representing its contribution to the total.
 Scatter plot
Chart
Example of Scatter plot:

Scatter Plot Chart:

A scatter plot is used to show the

relationship between two variables. It is
useful for identifying trends and
patterns in data and for detecting
outliers.
Scatter Plot Chart Variations:-
Simple scatter plot: This is the most basic type of scatter plot
Variations of Scatter plot:: where individual data points are plotted on a two-dimensional
plane.
Grouped scatter plot: In this type of scatter plot, data points are
grouped based on a particular category or variable, and each
group is represented with a different colour or symbol.
Bubble Scatter plot: In this type of scatter plot, data points are
represented as circles, and the size of the circle indicates the
value of a third variable.
3D scatter plot: This type of scatter plot is similar to a simple
scatter plot, but with an added third dimension. It is used to
visualize relationships between three variables.
Joint scatter plot: In this type of scatter plot, two sets of data
are plotted together in the same plot, allowing for the
visualization of correlations between the two sets of data.
 Heat Map Chart
Simple example of Heat map:
Heat Map :

A heat map is used to show the distribution

of data across a two-dimensional space. It
is useful for identifying patterns and
clusters in large datasets and for
highlighting areas of high or low
concentration.
Variations in heat map: Heat map Variations:-
Intensity map: This is a variation of the heat map chart where the
colors are used to represent the intensity of a single variable rather
than a matrix of values. This can be useful for visualizing continuous
data, such as temperature or population density.

Tree map: This is a variation of the heat map chart where the individual
values are represented as rectangles of varying sizes, with the size of
the rectangle representing the value of the variable being displayed.
This can be useful for displaying hierarchical data, such as the market
share of different companies within an industry.

Geographic heat map: This is a variation of the heat map chart where
the colors are used to represent the intensity of a variable across a
geographic region, such as a map of the United States colored to
represent the average temperature in each state. This can be useful
for identifying patterns and trends in data that are geographically
distributed.
 Box and Whisker
Plot
Simple example of Box and Whisker Plot: Box and Whisker Plot :

A box and whisker plot is used to show the

distribution of data and to identify outliers.
It is useful when you want to compare
multiple groups or when you have a large
dataset with many values. (widely used as
candle-stick charts in stocks )
Box and Whisker Plot Variations:-
Variations in Box and Whisker Plot: Notched Box Plot: A notched box plot shows the median as a
horizontal line inside the box, and the notches around the box
represent the variability of the data.

Multi-Box Plot: This plot compares multiple groups or categories by

displaying several box plots together on the same graph.

Horizontal Box Plot: This plot is the same as the standard box plot but
is oriented horizontally, with the data range displayed along the y-axis.

Violin Box Plot: This plot combines a box plot with a kernel density
plot to show the distribution of data as well as the median, quartiles,
and range.

Adjusted Box Plot: An adjusted box plot uses a modified scale to show
the distribution of data more clearly, by excluding outliers and/or
using a different scaling method for the whiskers.
 Funnel/Pyramid
Chart
Simple example of Funnel/Pyramid Chart: Funnel/Pyramid Chart :
A funnel chart shows how many items/people progress
through each stage of a process or sales funnel. It tapers
down from a wide bar at the top to a narrow bar at the
bottom.

A pyramid chart displays the relative sizes or importance

of different categories or groups. It's shaped like a
pyramid, with the largest category at the bottom and the
smallest at the top. The area of each section represents
the size or proportion of that category.

Funnel/Pyramid chart Variations:-

Variations in Funnel/Pyramid Chart: Basic: Simple tapered shape to represent stages in a process or
hierarchy.

Multi-Stage: Shows multiple processes or hierarchies side-by-side.

Stacked: Breaks down each stage or level into different components.

Inverted: Used to present negative trends or changes in data.

Combined: Combines funnel and pyramid shapes to show relationships

between processes or hierarchies
 Gantt Chart
Simple example of Gantt Chart:

Gantt Chart :
A Gantt chart is used to show the timeline of a project or
set of tasks. It is useful for tracking progress, identifying
dependencies, and managing resources.

Gantt Chart Variations:-

Basic Gantt chart: Shows start and end dates for each task in a
project.

Variations in Gantt Chart: Milestone chart: Focuses on key events or milestones in a project,
rather than individual tasks.

Critical path chart: Identifies the most critical tasks in a project, as

well as the order in which they need to be completed.

Resource chart: Shows the availability and allocation of resources for

different tasks in a project.

Cost chart: Illustrates the budget and cost of each task in a project.
 Radar Chart

Variations in Radar Chart:

Radar Chart :
One more chart type that is commonly used in data
analytics is the Radar Chart. This chart is used to compare
multiple variables or categories based on a set of criteria
or attributes. It consists of a circular grid with axes
radiating from the center, and data points are plotted
along the axes to create a polygonal shape. Radar charts
are useful for identifying strengths and weaknesses of
different options or alternatives and for visualizing
complex datasets in a non-technical way.

Radar Chart Variations:-

Standard Radar Chart: This is the most common type of radar chart. It has a
circular shape and a series of spokes radiating out from the center. The
spokes represent the different categories or variables being compared. The
length of the spokes indicates the relative size of each category.

Spider Radar Chart: Spider radar charts are similar to standard radar charts,
but they have more spokes radiating out from the center. This allows for more
detailed comparisons between categories.

Radar Tree Chart: Radar tree charts are similar to spider radar charts, but they
have even more spokes radiating out from the center. This allows for even
more detailed comparisons between categories.
 Which type of visualization you need :
Comparision Distribution Composition Relationship

Simple Bar chart among items Funnel and pyramid : use for Pie chart: for static simple Bubble scatter plot: More
or one variable per item many points shares of total than 3 or more variables

Spiral data shows relationship Scatter plot: using Two Stacked Bar charts: For few Scatter plot: using Two
Cyclical data over time variable periods variable

Line chart shows relationship Histogram: Many data points

Stacked Area charts: For 3D Scatter plot: More than 2
non-cyclical data over time using Line histogram and Bar
many period variable in 3D axis
histogram

Over time bar graph or trendline Joint Scatter plot: using Two Heat map and tree map: Box & whiskers: for 2
variable and histogram Accumulation of various variables
elemets