Line charts area unit right up there with bars and
pies jointly of the foremost often-used chart varieties. Line charts connect
individual numeric knowledge points. The result is straightforward, simple
thanks to visualize a sequence of values. Their primary use is to show trends
over an amount.
When to use line charts:
trends in knowledge over time. Examples: stock worth amendment over a
five-year amount, web site page views throughout a month, revenue growth by
• Mix a line
graph with bar charts. A chart indicating the degree sold per day of a
given stock combined with the road graph of the corresponding stock worth will
offer visual cues for more investigation.
• Shade the world underneath lines. Once
you have two or additional line charts, fill the house underneath the several
lines to make a part chart. This informs a viewer concerning the relative
contribution that line contributes to the complete.
Pie charts ought to be wont to show
relative proportions – or percentages – of data. That is it. Despite this,
slender recommendation for once to use pies, they are created with abandon. As
a result, they are the foremost ordinarily ill-used chart sort.
If you are attempting to check
knowledge, leave it to bars or stacked bars. Do not raise your viewer to
translate pie wedges into relevant knowledge or compare one pie to a different.
Key points from your knowledge are incomprehensible and the viewer should work
When to use pie charts:
• Showing proportions. Examples: proportion of budget spent on very
different departments, response classes from a survey, breakdown of however
Americans pay their time off.
• Limit pie wedges to six. If you have quite six proportions to
speak, think about a bar graph. It becomes too onerous to meaningfully
interpret the pie items once the quantity of wedges gets too high.
• Overlay pies on maps. Pies is noteworthy thanks to highlight
geographical trends in your knowledge. If you select to use this method, use
pies with solely a few of wedges to stay it straightforward to grasp.
When you have any reasonably
location knowledge – whether or not its communication codes, state
abbreviations, country names, or your own custom geocoding – you have to
visualize your knowledge on a map. You would not leave home to seek out a brand
new eating-place while not a map (or a GPS anyway), would you? Therefore,
demand a similar informative read from your knowledge.
When to use maps:
• Showing geocoded knowledge. Examples: Insurance claims by state,
product export destinations by country, automotive accidents by postal code,
custom sales territories.
• Use maps as a filter for different forms of charts, graphs, and tables.
Mix a map with different relevant knowledge then use it as a filter to drill
into your knowledge for sturdy investigation and discussion of knowledge.
• Layer bubble charts on prime of maps. Bubble charts represent the
concentration and their varied size could be a fast thanks to perceive relative
data. By layering bubbles on prime of a map, it is straightforward to interpret
the geographical impact of various knowledge points quickly.
Looking to dig a bit deeper into
some knowledge, however almost positive however – or if – very different items
of data relate? Scatter plots area unit a good thanks to offer you a way of
trends, concentrations and outliers that may direct you to wherever you would
like to focus your investigation efforts any.
When to use scatter plots:
• Investigation the connection between very different variables.
Examples: Male versus feminine probability of getting carcinoma at totally
different ages, technology early adopters and laggards’ purchase patterns of sensible
phones, shipping prices of various product classes to different regions.
• Add a trend line/line of best match. By adding a line, the
correlation among your knowledge becomes a lot of clearly outlined.
By adding filters to your scatter plots, you will drill down into very
different views and details quickly to spot patterns in your knowledge.
• Use informative mark varieties. The story behind some knowledge is
increased with a relevant form
Gantt charts surpass illustrating
the beginning and end dates parts of a project. Hit deadlines is overriding to
a project’s success. Seeing what must be accomplished – and by once – is
crucial to form this happen. This is often wherever a Gantt chart comes in.
While most associate Gantt charts
with project management, they will be wont to perceive however, alternative
things comparable to individuals or machines vary over time. You will use a
Gantt, for instance, to try to do resource about to see however long it took
individuals to hit specific milestones, comparable to a certification level,
and the way that was distributed over time.
When to use Gantt charts:
• Displaying a project schedule. Examples: illustrating key
deliverables, owners, and deadlines.
• Showing alternative things in use over time. Examples: length of a
machine’s use, handiness of players on a team.
• Adding color. Dynamic the color of the bars among the Gantt chart
quickly informs viewers regarding key aspects of the variable.
• Mix maps and alternative chart sorts with Gantt charts. Together
with Gantt charts during a dashboard with alternative chart sorts permits
filtering and drill right down to expand the insight provided.
Bubbles do not seem to be their own
form of visualization however instead ought to be viewed as a way to intensify
information on scatter plots or maps. Bubbles do not seem to be their own form
of visualization however instead ought to be viewed as a way to intensify
information on scatter plots or maps. Individuals are drawn to exploitation
bubbles as a result of the numerous size of circles provides which means
regarding the information.
When to use bubbles:
• Showing the concentration of information on two axes. Examples:
sales concentration by product and geographic, category group action by
department and time of day.
• intensify information on scatter plots: By varied the scale and
color of information points, a scatterplot may be reworked into an expensive visualization
that answers several queries right away.
• Overlay on maps: Bubbles quickly inform a viewer regarding relative
concentration of information. exploitation these as associate overlay on map
puts geographically-related information in context quickly and effectively for
Use histograms after you need to
check however, your information are distributed across teams. Say, for
instance, that you have a hundred pumpkins and you wish to grasp what number
weigh two pounds or less, 3-5 pounds, 6-10 pounds, etc. By grouping your
information into these classes then plotting them with vertical bars on
associate axis, you will see the distribution of your pumpkins per weight. In
addition, within the method, you have created a bar chart.
At times, you will not essentially
grasp that categorization approach is sensible for your information. You will
be able to use histograms to do completely different approaches to form}
positive you create teams that are balanced in size and relevant for your
When to use histograms:
• Understanding the distribution of your information. Examples:
variety of shoppers by company size, student performance on associate test,
frequency of a product defect.
• Check completely different groupings of information. After you are
exploring your information and looking out for groupings or “bins” that be,
making a spread of histograms will assist you confirm the foremost helpful sets
• Add a filter. By providing the way for the viewer to drill down
into completely different classes of information, the bar chart becomes a great
tool to explore several information views quickly.
When you have a goal and wish to
trace progress against it, bullet charts are for you. At its heart, a bullet
graph could be a variation of a bar graph. it had been designed to switch
dashboard gauges, meters and thermometers. Why? Because of those pictures,
generally do not show enough data and need valuable dashboard assets.
Bullet graphs compare a primary
live (let United States say, year-to-date revenue) to 1 or additional
alternative measures (such as annual revenue target) and presents this within
the context of outlined performance metrics (sales quota, for instance).
Looking at a bullet graph tells you
instantly however the first live is playing against overall goals (such as
however shut a sales rep is to achieving her annual quota).
When to use bullet graphs:
Evaluating performance of a metric against a goal. Examples: sales
quota assessment, actual disbursement vs. budget, performance spectrum
• Use color parenthetically action thresholds. Together with color,
comparable to red, yellow, inexperienced as a backcloth to the first live lets
the viewer quickly perceive however, performance measures against goals.
• Add bullets to dashboards for outline insights. Combining bullets
with alternative chart sorts into a dashboard supports productive discussions
regarding wherever attention is required to accomplish objectives.
Heat maps are an excellent thanks
to compare information across two classes exploitation color. The result is to
quickly see wherever the intersection of the classes is strongest and weakest.
When to use heat maps:
• Showing the connection between two factors. Examples: segmentation
analysis of target market, product adoption across regions, sales leads by
• Vary the scale of squares. By adding a size variation for your
squares, heat maps allow you to grasp the concentration of two decussate
factors, however add a 3rd component. For instance, a heat map might reveal a
survey respondent’s sports activity preference and therefore the frequency with
that they attend the event-supported color, and therefore the size of the sq.
might mirror the quantity of respondents in this class.
• Exploitation one thing however squares. There are times once
alternative varieties of marks facilitate convey your information during an
additional impactful manner.
Highlight tables take heat maps
ballroom dance additional. Additionally to showing however, information
intersects by exploitation color; highlight tables add variety on high to
produce further detail.
When to use highlight tables:
• Providing careful data on heat maps. Examples: the pc of a
marketplace for completely different segments, sales numbers by reps during an
explicit region, population of cities in numerous years.
• Mix highlight tables with alternative chart types: Combining a line
chart with a highlight table, for example, lets a viewer perceive overall
trends yet as quickly drill down into a selected cross section of information.
Looking to check your information
at a look and find out however the various items relate to the whole? Then tree
maps are for you. These charts use a series of rectangles, nested among
alternative rectangles, to indicate ranked information as a proportion to the
entire. Because the name of the chart suggests, think about your information as
connected sort of a tree: every branch is given a parallelogram that represents
what proportion information it includes. Every parallelogram is then
sub-divided into smaller rectangles, or sub-branches, once more supported its
proportion to the entire. Through every rectangle’s size and color, you will be
able to typically see patterns across elements of your information, comparable
to whether or not a specific item has relevancy, even across classes. They
conjointly create economical use of area, permitting you to check your entire
information set right away.
When to use tree maps:
• Showing ranked information as a proportion of a whole: Examples:
storage usage across pc machines, managing the quantity and priority of
technical support cases, examination financial budgets between years
• Coloring the rectangles by a class completely different from however they
are hierarchically structured
Combining tree maps with bar charts. In Tableau, place another dimension on
Rows in order that every bar during a bar graph is additionally a tree map.
This allows you to quickly compare things through the bar’s length, whereas
permitting you to check the proportional relationships among every bar.
Box-and-whisker plots, or
boxplots, area unit a very important thanks to show distributions of knowledge.
The name refers to the two components of the plot: the box that contains the
median of the info at the side of the primary and third quartiles (25% larger
and less than the median), and the whiskers, which generally represents
information among one.5 times the Inter-quartile vary (the distinction between
the first and third quartiles). The whiskers may be accustomed also show the
utmost and minimum points among the info.
When to use
• Showing the distribution of a collection of an information:
Examples: understanding your data at a look, seeing however, information is
inclined towards one finish, characteristic outliers in your information.
• Concealment the points among the box. This helps a viewer
concentrate on the outliers.
• Examination boxplots across categorical dimensions. Boxplots area
unit nice at permitting you to quickly compare distributions between