Name: Data Visualization: 9 Actionable Tips You Can Use Now
Uploaded: 2018-09-27T13:22:02.000Z
Duration: 6 min 9 s
Description: Thousands of YouTube videos with English-Chinese subtitles! Now you can learn to understand native speakers, expand your vocabulary, and improve your pronunciation...

In this video you'll learn the top 6 best
practice tips for data visualization.

Since we're all exposed to more and more data,
visualizing it has become more and more important.

It only takes a couple of clicks to export
a report from Google Analytics and it's

not that hard to create a dashboard using
Google Data Studio (or your tool of choice),

but being easy doesn't automatically translate
into good data visualization.

You need to make sure you're visualizing
data the right way.

You want to score three goals with your data
visualization.

Overall, you want the data to tell a story,
you need to consider the context of how the

data will be seen and you want it to be well
presented.

Let's jump in and cover my 9 data visualization
tips!

Tip number 1 is to – consider the context.

Ask yourself – who is going to be using
the data?

And what do they need to do with the data?

The way you visualize data for your CEO will
be different to the way you create a report

to discuss the success of a recent campaign
with your marketing team.

Your audience will also inform what you include
(and cut) from your report or dashboard.

Tip number 2 is – using the right chart
to communicate the information.

From bar charts to scorecards, from scatter
charts to heat maps, there are lots of ways

You'll need to spend time selecting the
right chart for the job.

Like comparing the amount of traffic coming
from your top marketing channels.

Line charts are ideal for showing changes.

If you want to show the seasonal trend for
a metric like users, revenue or conversions,

Pie charts are suited to showing proportions.

For example, if you wanted to show the percentage
of people converting on mobile devices compared

Bubble charts can be used to show relationships.

Like showing the traffic to product pages
along with their total product revenue.

Sometimes you need more than a simple visualization
and this is where a table can work better

than using multiple graphs, like when you
want to show multiple metrics for a dimension.

Tip number 3 is – to use the right ordering
for the data in the chart.

It can be easier to identify and interpret
differences in a chart by using appropriate

For example, here we can see a bar chart where
the data is ordered alphabetically based on

This makes it harder to see the relative performance
of the marketing channels.

When we reorder the chart based on the value,
instead of the category, it makes it easier

Tip number 4 is – including comparisons.

When you include a comparison, it makes it
easier to identify seasonal trends in the

You can do this quickly by including a date
range comparison.

For example, if you have a seasonal campaign
every year, then including a year on year

comparison like this one makes it easy to
compare performance.

And when you include comparisons try to keep
lines in the chart to a minimum.

One or two lines are ideal, but don't include
more than four as it will become difficult

Apart from steering clear of 3D charts, you
should keep things as simple as possible.

Avoid extra graphics that will distract from
the data, remove patterns and textures, and

Tip number 6 is – to consider the colors
you use in your charts.

If you have multiple graphs that present the
same data, like a social dashboard that includes

two bar charts, then make sure the color for
each social network is consistent.

In this example, you can see that we're
always presending data from Twitter in blue

It makes it much easier to interpret the data
as we look at the two different charts.

And if you're looking to create a social
dashboard, then check out my tutorial on how

you can report on social media using Google
Data Studio.

You can find a link to the video in the description
below.

Tip number 7 is – Explain the data that
you've included in your visualization.

It's important to include a heading with
each chart and label the metrics and dimensions

And make sure labels are helping your audience
interpret the data, too many labels can make

it even harder to see trends and understand
what's being presented.

If you want to engage your audience, then
telling a story is a useful technique.

Consider what you're trying to communicate
and think about including a beginning, middle

This can be as simple as deciding how to order
charts on a page, through to crafting a narrative

And make sure this considers tip number 1
– the context for your data visualization.

Tip number 9 is – choosing the right tool.

There are lots of ways to visualize your data.

If you're visualizing data from Google Analytics,
then you can use Google Data Studio, Google

Sheets or another tool, but in some cases
you might find the in-built dashboards meet

Use the tool that will visualize the data
in the way you need and that gets the job

It doesn't matter how you're choosing
to visualize your data, from Google Sheets,

Excel or Google Data Studio, by applying these
tips you're dashboards and reports will

Remember that keeping your data visualization
simple, clean and concise will make it easier

So if take a moment and make sure you're
applying these tips to your next data visualization.

And if you're looking for a great way to
visualize data from Google Analytics, Google

Sheets, or just about any other data source,
then check out Google Data Studio if you haven't

It's an amazing data visualization platform
and you can check out my video tutorials to

Subtitles ListPlay Video

Data Visualization: 9 Actionable Tips You Can Use Now

essential

context

present

engage