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Visual Charts

The document outlines various types of data visualizations, detailing when to use each type and providing examples. It includes 30 different visual formats such as bar graphs, line charts, pie charts, and maps, along with their appropriate applications. Each visualization type is aimed at helping users effectively present and analyze data across different contexts.

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ShahulSamon
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0% found this document useful (0 votes)
59 views30 pages

Visual Charts

The document outlines various types of data visualizations, detailing when to use each type and providing examples. It includes 30 different visual formats such as bar graphs, line charts, pie charts, and maps, along with their appropriate applications. Each visualization type is aimed at helping users effectively present and analyze data across different contexts.

Uploaded by

ShahulSamon
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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Diksha Malkhede

Build Your Next Visual

1.Bar Graphs

When to Use?

When comparing values across


different categories, such as
sales by region or survey
responses by category

Examples:

Comparing sales
figures across
different regions.
2.Column Chart

When to Use?

When comparing data over


time, such as monthly
revenue or quarterly
performance.

Examples:

Displaying monthly
revenue over the
course of a year
3.Line Chart

When to Use?

When visualizing trend over


time, Such as tracking website
& stock prices

Examples:

Displaying monthly
revenue over the
course of a year
4. Area Chart

When to Use?

When showing cumulative values over


time to illustrate the total growth, such
as cumulative sales or employment
contributions.

Examples:

Visualizing
cumulative sales
over time to show
growth.
5.Pie Chart

When to Use?

When displaying proportions of a


whole, such as market share or
budget allocation

Examples:

Showing the market


share of different
products.
6.Donut Chart

When to Use?

When showing proportions with an


additional ability to add more data
in the center, like a breakdown of
budget allocation.

Examples:

Displaying the
percentage distribution
of customer
demographics.
7.Scatter Chart

When to Use?

When analyzing relationships


between two variables, such as
advertising spend versus sales
revenue.

Examples:

Exploring the
relationship between
advertising spend and
sales revenue
8.Bubble Chart

When to Use?

When comparing three variables,


such as product sales, profit, and
market size

Examples:

Comparing product
performance by sales,
profit, and market size.
9.Basic Map

When to Use?

When plotting geographic data


points, such as customer locations
or store sites.

Examples:

Plotting customer
locations to visualize
geographic
distribution.
10.Filled Map

When to Use?

When displaying data over


geographic areas, such as sales
performance by state or country.

Examples:

Showing sales
performance by
country or region.
11.ArcGIS Map

When to Use?

When you need advanced


geographic features and spatial
analysis, like analyzing traffic
incidents or demographic data.

Examples:

Analyzing spatial
data with advanced
geographic features
12.Tree-Map

When to Use?

When displaying hierarchical data


in a compact format, such as sales
by product category.

Examples:

Analyzing spatial
data with advanced
geographic features
13.Funnel Chart

When to Use?

Visualizing stages in a sales


process, from lead generation
to closing

Examples:

Visualizing stages in
a sales process, from
lead generation to
closing.
14.Gauge

When to Use?

When showing progress


toward a specific goal, such as
sales targets or performance
metrics.

Examples:

Showing progress
toward a sales
target.
15.KPI
(Key Performance Indicator)

When to Use?

When displaying a key metric


compared to a goal, such as
monthly sales versus target.

Examples:

Displaying a key
metric like monthly
sales compared to a
goal.
16.Card

When to Use?

When highlighting a single


important figure, such as total
revenue or the number of new
customers.

Examples:

Highlighting a
single important
figure, such as
total revenue.
17.Multi-Row Card

When to Use?

When showing multiple key


metrics in a compact format,
like sales, profit, and
expenses.

Examples:

Displaying multiple
key metrics, such as
sales, profit, and
expenses.
18.Table

When to Use?

When displaying detailed data


in a tabular format, such as a
list of transactions or product
inventory

Examples:

Presenting detailed
sales data in a
tabular format.
19.Matrix

When to Use?

When you need to show data with multiple


levels of categorization, similar to a pivot
table, like financial performance by region
and department.

Examples:

Showing financial data


with row and column
grouping, similar to a
pivot table.
20.Slicer

When to Use?

When providing interactive filtering


options for your report, such as
filtering by date, category, or region.

Examples:

Providing interactive
filters to refine report
data by date, category,
or region
21.Waterfall Chart

When to Use?

When showing the cumulative effect of


sequential positive or negative values,
such as profit changes over time.

Examples:

Showing the
incremental impact of
individual components
on a total figure, such
as profit.
22.Combo Chart

When to Use?

When combining two different types of


data in one visual, like sales volume
and profit margin.

Examples:

Combining
revenue and profit
margin data in one
visual.
23.Ribbon Chart

When to Use?

When showing rank changes over time,


such as product rankings or market
positions

Examples:

Showing rank
changes of
products over
time.
24.Decomposition Tree

When to Use?
When you need to drill down into data
across multiple dimensions to
understand contributing factors, such
as analyzing sales by region, product,
and time.

Examples:

Drilling down into


sales data to
understand
contributing factors.
25.Histogram

When to Use?

When showing the distribution of a


single variable, such as customer
ages or transaction amounts.

Examples:

Displaying the
distribution of
customer ages.
26.Heatmap

When to Use?

When visualizing data density or


intensity, such as website click
activity or sales performance across
regions.

Examples:

Showing data
density, such as
website click
activity.
27.Sparkline

When to Use?

When showing trends in a small


amount of space, often within tables
or matrices, like monthly revenue
trends.

Examples:

Adding mini
trendlines to a
table to show sales
trends per product.
28.Q&A Visual

When to Use?

When allowing users to ask natural


language questions and get visual
answers, useful for ad-hoc data
exploration.

Examples:

Allowing users to type


natural language
questions and get
visuals based on data.
29.R-Visual

When to Use?
When you need to create custom
data visualizations using R scripts
for advanced analytics or statistical
charts.

Examples:

Creating custom data


visualizations using R
scripts for advanced
analytics
30.Python Visual

When to Use?
When using Python scripts to generate
complex visuals or for advanced data
analysis, such as machine learning
model outputs or time series
forecasting.

Examples:

Using Python scripts


to generate complex
visuals or statistical
charts.

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