Chart wars_Data_Visualisation_DBMS_Charts

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1. Viz
Data
Type
of
Analysis
Mode
of
Presentation

6. https://github.com/Financial-Times/chart-doctor/blob/main/visual-vocabulary

7. Bar Chart
•Bar charts should be leveraged as they are
common, as this means less of a learning
curve for audience
•Generally, the bars should be wider than
the white space between the bars
•Bars should not be so wide that audience
compare areas instead of lengths.
•Horizontal Bar chart is extremely easy to
read
Radial Bar

8. •Used to compare totals across
categories and also see the
subcomponent pieces within a
given category
•Length along Non-Aligned axis
•Stacked horizontal bar chart
•Can be structured to show either
absolute values or sum to 100%.
•Works well for visualizing survey
data collected along a Likert scale
Stacked Bar
Chart
100% stacked horizontal bar chart

9. •The waterfall chart can be used to pull
apart the pieces of a stacked bar chart to
focus on one at a time,
•Used to show a starting point, increases
and decreases, and the resulting ending
point.
•A waterfall chart is a specific type of bar
chart that reveals the story behind the
net change in something’s value between
two points.
• Instead of just showing a beginning
value in one bar and an ending value in a
second bar, a waterfall chart dis-
aggregates all of the unique components
that contributed to that net change, and
visualizes them individually.
Waterfall
Chart
https://www.storytellingwithdata.com/chart-guide

10. •Histograms visualize quantitative data or
numerical data, whereas bar charts
display categorical variables
Histogram

11. •Combines a line chart and a
bar chart to show changes
in quantities over time
Area Chart

12. •Used to display quantitative values over
a continuous interval or time period.
•Frequently used to show trends and
analyse how the data has changed over
time.
Line Graph

13. Slopegraph
•A slopegraph looks like a line graph, but with an
important difference: there are only two data points for
each line.
•Used to compare two categorical variables
•Used to compare the value in the first column to value in
the second column?
•That change is easy to see depending on the slope; the
lines will slope up or down, in the direction of the change.
https://www.storytellingwithdata.com/chart-guide

14. Scatter
Plot
•A scatterplot shows the relationship
between two numerical variables plotted
simultaneously along both the horizontal
and vertical axis.
https://www.storytellingwithdata.com/chart-guide

15. •Extension of a scatterplot
•Commonly used to visualize
relationships between three or more
numeric variables
•Each bubble in a chart represents a
single data point.
•The values for each bubble are
encoded by :
•Its horizontal position on the x-axis
•Its vertical position on the y-axis, and 3) the
size of the bubble.
•Sometimes, the color of the bubble or its
movement in animation can represent more
dimensions.
Bubble Chart

16. Radar Chart
•Shows multivariate data of
three or more quantitative
variables mapped onto an
axis.
•It looks like a spider's web,
with a central axis that has at
least three spokes, called
radii, coming from it.
•On these spokes, the values
for the data are mapped.

17. Radar
Chart

18. •Used when you want to
display data across several
unique dimensions.
•Dimensions are usually
quantitative, and typically
range from zero to a
maximum value.
•Use polar coordinates.
Spider /
Radar Chart
https://www.storytellingwithdata.com/chart-guide

19. •Used to visualise large amount of data—
with multiple levels
•Uses a series of nested rectangles, sized
proportionally to the corresponding data
value, to deliver an organised and multi-
level view into any hierarchical data set.
Tree Map

20. •The sunburst chart is ideal for displaying
hierarchical data.
•Each level of the hierarchy is represented by
one ring or circle with the innermost circle as
the top of the hierarchy.
•A sunburst chart without any hierarchical data
(one level of categories), looks similar to a
doughnut chart.
Sunburst
Chart

21. •The human eye isn’t good at
ascribing quantitative value to
two‐dimensional space.
•pie charts are hard for people to
read.
•Angles and Areas
•With doughnuts its Arc length
Pie
Cost of Living in Indian Cities
Mumbai New DelhiChennaiBangaloreHyderbadPuneKolkata
Cost of Living in Indian Cities
MumbaiNew DelhiChennaiBangaloreHyderbadPuneKolkata

22. Donut Chart
Shows the proportions of
categorical data where the
size of each piece of the
donut communicates the
proportion of each
category.

23. Waffle Chart
•Often consist of a 10x10 grid
containing 100 individual
squares.
•The squares are then coloured
based on the data that's being
visualised.
•The chart gets its food-based
name from its resemblance to a
waffle.

24. Lollipop Chart
A lollipop chart isa
more visually appealing
variation of a bar chart
The bar is replaced with
a thin line and a circle
at the end of it, making
it resemble a lollipop.

26. Choropleth
Choropleth maps provide an
easy way to visualize how a
variable varies across a
geographic area

27. Chord
Diagram
•Displays inter-relationships between
data radially around a circle.
•It represents flows or connections
between several entities (called nodes)
with the relationships between the
nodes typically drawn as arcs
connecting the data
•Online Generator
http://www.datasmith.org/2018/06/02/a-
bold-chord-diagram-generator/
Synthetic Immigration Data

28. https://www.fusioncharts.com/charts/chord-diagram/simple-chord-diagram?framework=javascript

29. Chord
Diagram
Mapping the Interconnections Between SDGs

30. Arc
Diagram
Mapping the Interconnections Between SDGs

31. Sankey Diagram
•A graphic illustration of
flows - like energy,
material or money -
where they can be
combined, split and
traced through a series
of events or stages
•Used to represent the
flow of quantities (such
as energy, materials or
costs) through a system.

32. Sankey Diagram
•A graphic illustration of
flows - like energy,
material or money -
where they can be
combined, split and
traced through a series
of events or stages
•Used to represent the
flow of quantities (such
as energy, materials or
costs) through a system.

33. Sankey Diagram
•A graphic illustration of
flows - like energy,
material or money -
where they can be
combined, split and
traced through a series
of events or stages
•Used to represent the
flow of quantities (such
as energy, materials or
costs) through a system.

34. Alluvial Diagram
•Flow diagram showing changes in
group composition between
category fields.
•Usually represents changes in
network structure over time.
•The thickness of each stream or
link shows its proportional value.
•Primarily used to show changes in
data composition over time or
between different stages or
categories.

36. Alluvial
Diagram

37. Alluvial
Diagram

38. Alluvial
Diagram

40. Linear
DendoGram

41. Sankey Diagram
Vs
Alluvial Diagram
Vs
Chord
????

42. Pair Plot

43. Word Cloud
Sunburst Chart
Geo Map
Heat Map

44. Visualizing
Time Variant
Data

45. Time Series Data
•Sequence of data points collected or recorded at successive points
in time, typically at uniform intervals.
•Used to analyze trends, patterns and fluctuations over time.
•Examples of time series data:
•Daily stock prices
•Monthly sales figures
•Hourly temperature readings
•Annual population figures

46. Time Series Data
•Time series data is a sequence of data points collected or recorded
at successive points in time, typically at uniform intervals.
•This type of data is used to analyze trends, patterns and
fluctuations over time.
•Examples of time series data include:
•Daily stock prices
•Monthly sales figures
•Hourly temperature readings
•Annual population figures
Line Plot

47. Basic Line
Plot

48. Area Plot

49. Line Graph
+
Area Plot
https://stephanieevergreen.com/ways-to-show-change-over-time/

50. Beeswarm
Plot

51. Slope
Graph

52. Stream
Graph

53. Bump
Chart

54. Bump
Chart

55. Horizon
Graph

56. Matrix
Plot
Close

57. Matrix
Plot
Volume

58. Parallel
Co-ordinates
Close

59. Parallel
Co-ordinates
Apple
Close

60. Heat
Matrix

61. Violin
Plot
Close

62. Radar
Plot
Close

63. Heat
Matrix

64. Heat
Matrix

65. Dual Axis
Plot
Tracking Stock Performance Close and _ _ _ _ _ _Volume

66. Dual Axis
Plot
Tracking Stock Performance : Yearly Average of Close Price and Volume

67. Raw Graphs
https://www.rawgraphs.io/
Flourish
https://flourish.studio/

68. Datawrapper
https://www.datawrapper.de/