Transcripts
1. Introduction: Data is complicated,
but it gains more value when it
gets visualized. Data alone doesn't guarantee
a good presentation. It's all about how the
data is presented. Give your audience comprehensive
data by using a pactful, concise, and inclusive language to see the bigger picture
of your dashboard. Graph info, graphics, map, chart, slide, and other
diagrammatic elements. Good to everyone,
just call me Luna. I'm a corporate trainer
specializing in communication. I've conducted data
coaching with my clients, digital marketing
and copyrighting. In this course, we can discuss your insights
and concerns. I will give you real world
projects and resources. By the end of this course, I'm confident you will
be able to choose the right chart,
introduce the chart, give its brief overview, describe and analyze
its movement, explain it from
different perspectives, and draw conclusions
and recommendations. If you have any questions or clarifications,
please let me know. I'm always here to guide you. If I said something
wrong in this course, please let me know as well. I am teachable. I am
not always right.
2. Choosing the Right Chart: Some of my students
and colleagues in the corporate world
are kinda confused. Witchcraft they use,
if they want to illustrate the rise and
fall of their sales. If they have ten categories and how they're going
to compare them. Even I have this kind of confusion where I'm going to use a bar graph for land growth. The different kinds of graphs
a and three represent data. They are used in many
areas such as in math, economics, business, statistics, and data
science and a lot more. So these sections summarizes the essential types
of charts and graphs with their
best practices. First is the monograph. Worry prefaces to compare data
among different categories such as various types of movies and how many people
click through them. Moreover, it is used to show large data changes over time. If you're a category labels
to name so long, you can use, typically you do horizontal
great ref bar graph is best to use for
product comparison, sales, and cost of Verisign, marketing, traffic by
month or a year, etc. Next one is still line graph. Line graph shows threads
through progress over time. It can highlight
fluctuation voided myosin follow-up data
and predictions. Line graph is best is for annual sales trend populations when temperature
changes and so on. Then we have the pie chart. A pie chart represents
numbers and percentages, and the total sum of all
segments needs to equal 100%. This is the most impactful for your audience if you
have a small dataset. By tried his best to use if
you want eagle is three, the percentage of
total profit from various products or
store locations, market share,
budgeting, et cetera. We have already covered the
top three graphs and charts. I am pretty sure you are
quite familiar with those. Let's proceed to area graph. And Eric ramp is basically
Alliance for it, but the space between the x-axis and the
line is filled with the color or pattern to highlight the magnitude
of the change. They work best for big
differences between datasets and also help
visualize be twins. Best practices for this
is when you want to show KPI goals versus outcomes, quarterly sales revenue,
daily visitors, record, etc. Followed by the scattered blood. Scatter plot shows
the results of a collection of points
between large datasets. This is best to use
for survey results. Monthly sales integrate
cleansing costs, customer happiness, and
response time and a lot more. Next one is the pictograph
already picked the ground. This type of graph uses pictures or icons to
represent the data. This makes it easy to read statistical way of
data visualization. Pictograph is testes for
a number of population, is statistics, children
learning materials, and so on. And finally, we
have table detail. They're complicated,
the debt organize. You better use table. Which data can be describe
adequately in the texts. You better use stable ie, the information must
be reported precisely. Alright, so those are the essential types
of charts and graphs. But it will be more challenging
since the volume of data in the following years will
exponentially increase. That's for sure. Therefore, effective
data visualization with the use of graphs, charts, and diagrams
is the most. I'll see you in our next lesson.
3. Introducing the Chart: Once we have already chosen the most appropriate route
for our presentation, we need to introduce
the graph next. Well, I know it's pretty basic, but why do we have to do this? Because some people
may be unfamiliar. Reading charts and graphs. Give a simple in briefings. Reduction of the graph
before you go into the features is
advisable. Alright? Let me give you the basic
formula for introducing breath. Start with reading the title, followed by horizontal
axis or the x axis, vertical axis, or
so-called y-axis. Plus the luncheon,
which tells us what each bar line or segments, the cash, our audience attention
from the very beginning. We can use these following
phrases for introduction. Kindly take a look at
these expressions. Now, we're going to apply these expressions in
real graphs and charts. Just imagine we are working
for E phone incorporated. And we're at now to present these very basic data to our
executives. Let's begin. The bar graph illustrates
the annual sales trend of earphone x from 2019, 2021. The horizontal axis represents the here and the vertical lines. This shows sales,
Building dollars. This how simple it is. Pay attention to the formula. Once again, its title plus horizontal axis, vertical axis. Later on we will
use some lessons. Let's try the pie chart. The pie chart describes
the market share of phone, your smartphone brands
worldwide 2019-20, marijuana. The blue segment
represents earphone. Orange for Zamzee, Ray
for two-plus and yellow, sentiment is one way. And that's how we use this expressions
describing a pie chart. This time, we described the
title plus the lesson or the colors that
represent each question. Some of you will probably ask, why do we have to explain
their colors one-by-one? The audits can figure
them out on their own. It's self-explanatory.
He has indeed. But please be considerate with your audience who
is colorblind or perhaps the PC
contrast saturation is too high or too low. Moreover, these colors
can also serve a purpose, such as for branding
like Louis for Facebook, Reddit for Coca-Cola and so on. Just a disclaimer, all these smartphone brands that
we're using in this class. I just imaginary
these searches make believe they don't represent any companies and they
don't even exist. Alright, so let's go back to the board where w bar
graphs and pie charts. This time, let's apply it these expressions using a table. To illustrate my point, let's look at this
percentage stable or smartphone owners using
various features. The first row represents
the year 2019-2021, and the first column
shows the phone, your smartphone features.
And there you have it. That's how we basically it for this graph chart and table. Let's continue to the
next lesson and give a brief overview of these ramps.
4. Giving a Brief Overview: We're back. Alright, so we're done with selecting the right
choice for your data. We were able to learn how
to introduce our data. This time, we will
continue and how to give a brief overview
of our data. But why do we have to do this? Because rather than going
right into the details, we'd better start with
seeing the bigger picture, what the chart is telling us. Then later on we can go
into the finer details. All right, Let's take it away. Our formula this time
is pretty basic. Just figure out the most
obvious trends in your data, such as the highest
and the lowest, or any parts of your data
that catch the attention of your audience will concentrate
our general overview. And here are our
useful expressions. To give a brief overview, kindly take a look and let's try to apply
these expressions. We already described
this bar graph in the previous lesson.
And here we go. An obvious trend
shows that there was some fluctuation in sales, peaking in 2020, but
falling in 2021. And that's a brief
overview of the IPO next, sales, easy, breezy. Remember, do not explain yet
the movement of the bolus. Our aim here is to
let the audience see the bigger picture of the
Ethernet sales, 2019-2021. Alright, Let's move
on to the pie chart. Here we already
described the pie chart. Alright, let's begin. Looking from an
overall perspective. It is really apparent
that Ethan had the highest market share among the different
smartphone brands. And finally our table. We already illustrated
the table. And here we go. And interesting
observation is that if you look at the
percentage 2019-2021, you will notice the
usage of all smartphone features was constantly
increasing except making holes. And that's it for this part, we were able to give a
brief overview of the data. I hope everyone
can still follow. We're not getting the most
crucial part. So stay tuned. Let's move on to
the next lesson.
5. Describing Movements and Analysis: Let's have a short recap. We're done with choosing
the right chart. Check, introducing a chart, check, giving a brief
overview, check. This time we will deep dive
into the most crucial point, the movements and analysis. Let's kick it off. Starting with our key points. Our formula this
time is up or down. These verbs we will use, followed by degree
and speed of change. These are usually adverbs or
adjective plus the amount. And finally, the analysis
is to be complex this time, but we need to do this because by explaining
the degree of change and speed of
change into features, we can give a more
accurate explanation. And here are our
useful expressions. The gibbon analysis did
these movements, right? Let's not even. Once again, we describe the graph. We'd give a brief overview and let's describe the
movement and analyze. It can be seen that the
sales increase sharply from 180 billion in 2019 to
$450 billion since 2020. And she did a successful
product launch and promotion. However, there was
a drastic decline of $150 billion in 2021, which can be attributed
to global supply and chain crisis as a consequence
of the COVID-19 pandemic. There you go. Take a look at a formula. Once again, up plus degree of change plus amount
plus analysis. We can also do with
interchangeably like the degree of change plus down plus and
now it's less than Analysis. And this formula
can be applied to other charts or
graphs, line graphs. Let's proceed to the pie chart. Here, we describe
the patch on it. Give a general overview. And since pie chart
has no movement, we will just compare
each segment using D6 expressions
and give Analysis. Let's do it. To begin with. Ethan capture the majority of global market share
at 59 per cent. This is clearly true to this strategic product placement and word of mouth marketing. Zen Zoom get twice higher
market share than two plus 23%. Finally, one way constituted 8% of the global market share. And we have our table. And we already
described the table. Highlight that parent data. And let's describe the trend. On a broader perspective. The UC ship, social media
and watching movies, my smartphone reach their highest level
of hundred percent, caused by COVID-19 one, now, preventing people
from going out. Similarly, taking
photos and playing games using a smartphone
grew significantly. On the flip side, a gradual decline in
person page can be seen in making phone calls over
the last three years, which was the result
of increase in number of instant
messaging applications. Walla, and this is how we describe the movements
and analyze data. Just a short recap. You should use appropriate
verbs, adjectives. Depending on the kind of
movements you need to show. I know it might be confusing, but proper data visualization makes it easy for us to reach meaningful conclusions and simplifies our
decision-making process.
6. Explaining from Different Perspectives: Hi everyone and welcome back. We've just gone through a very intricate analysis of Detroit. This time. We will still analyze the chart, but from a different
perspective. And why do we have to do this? Because just the
number alone may not mean much to some
of our audience. Therefore, we tried
to give meaning to the numbers by expanding it
from a different perspective. Let me show you how
for the formula. Let's put it simply by using analogy or a comparison
between feedings. Typically for the purpose of explanation,
more clarification. Here are already
useful expressions to make figures more meaningful. Alright, so we already noted thrill First we
described the graph. Then give a brief overview. Next is we describe the
movement that and analyze it. Then this time, let's explain it from a
different perspective. In hindsight, already
2020 sales was equivalent to almost half
of the world's population, or 4 billion units of
E phone acts in 2021, it seems to suggest that
we fail to meet the demand of approximately 30%
of our customers. Okay? So as you may notice, we analyze it from the perspective of the half
of the world's population, which is roughly 4 billion. Assuming that each
unit of iPhone X costs only approximately $100 to $120, resulting to more or less $450 billion sales or FIFO Next, really cheap phone.
How will you wish? Let's see the pie chart. Here. We describe the pie chart. Give its brief overview. Analyze each segment, then let's see it from a
different perspective. According to research, there are 7.30 billion smartphone users
in the world as of 2021. This is like saying there are approximately 4 billion
users worldwide. Let's proceed to our table. Here, the description
of the table, followed by its overview. Next is its transcend analysis. Let's see it from a
different point of view. That means in 2021, half of the smartphone
users rarely make. There we have it. If you have any clarifications, please feel free to ask me. If I mistakenly said something, please let me know. That would greatly
appreciate it. I'll see you in our next lesson.
7. Drawing Conclusions and Recommendations: The last point of our
data visualization is the conclusion
and recommendations. The conclusion offers you the opportunity to
elaborate on the impact and significance of your findings from the perspective
of pure audience. It's like saying,
what is your point? Our formula goes like this. Conclusion plus
recommendation for ended with a
motivational remark. And we will use these
expressions to draw conclusions. Let's take a look. Also. We have useful expressions to
give recommendations. Now let's apply these. Once again. We describe the graph, give its brief overview. Describing the
movements and analysis, explaining from
different perspective. And let's draw a conclusion. And evaluation of
this theta concludes that our smartphone was highly
accepted by the market. But since COVID-19
pandemic occurred, this whole thing to
logistics problem, it has impacted
our global sales. Then. What we need to
do now is to navigate unexpected challenges and
supply chain diversification. Once again, the formula is conclusion plus
recommendation. Let's draw a conclusion
for this pie chart. Here we describe the short
it's general overview. Describing the movement
that analysis, seeing it from a
different point of view. And here it goes. In conclusion, if
Hollande dominated the smartphone market through
their native advertising, what we need to do now is to continue to excel
in user experience, customer service, and
disruptive innovation. And put a table. Once again, describe the table. See the bigger picture. Movements and analysis,
a different viewpoint. And here's the conclusion. Overall. These highlights
the significance of a better means of
communication, entertainment, and convenience in the
foreseeable future, I highly recommend that we shall develop smartphone with
artificial intelligence, which has cutting
edge applications. There you have it. In our next lesson, we will apply some
techniques and practical applications of
this data visualization. I'll see you there.
8. Data Storytelling: Alright, this lesson is just an additional
optional approach, yet it's highly recommended
for data visualization. It's a human nature
to listen to stories. It can be in a form of movie, novel, or even gossiping, hearsay said I'm guilty of that. Therefore, an
effective way to reach your audience is to
explain the chart. Like a story. Moving on, just like
a novel or a movie, we will integrate the
five elements of a story. But first it's the exposition. This is where you
introduce your characters, stablished a setting
and beginning to introduce the primary
conflict of your story. Second is the rising action. It is a moment that
sensory story into action. Third is the climates. This is the pickup tension, plot and characters
in your story. It's the moment that your
audience has been waiting for. For it. One is the
falling action. This is the time to start
resolving conflict. And lastly, our conclusion. This brings her story through
its happy or sad ending. Alright? We will use the same data we use from our previous lessons. The earphone exhales, but this time it's in a form
of data storytelling. Let's begin. These
past three years. We weakness the
collaborative effort of the marketing and
sales departments to reach their targets. And let me show you
this paragraph which illustrates the sales
of ebonics 2019-2021. The horizontal axis
represents the year and the vertical axis shows
sales in billions dollars. I would like you to pay
attention on this obvious trend, which shows that there was
some fluctuation in sales, baking in 2020, but
falling at 20:21. For all the hard work
and perseverance. I am starting to present
to you how the sales increased sharply from
180 billion in 2019, $450 billion since 2020. Due to the successful product
launch and promotion, our blood, sweat, and tears
have finally paid off. However, there was
a drastic decline of $150 billion since 2021, which can be attributed to global supply chain crisis as a consequence of the
COVID-19 pandemic. In hindsight, 2020 sales was
equivalent to almost half of the world's population are foreign billion units
of beef on ads in 2021, it seems to suggest that we
failed to meet the demand. Approximately 30% of
hungry customers. And evaluation of this
theta concludes that our smartphone was highly
accepted by the market. But since COVID-19
pandemic occurred, resulting to logistics problem, it has impacted our global
sales tremendously. Steel, we're truly fortunate that we stay afloat and healthy, both physically and mentally. What we need to do
now is to navigate unexpected challenges and
supply chain diversification. We have made a great team
that sweats together, survives together
and wins together. Let's try for the best outcome. There we have it. Data
storytelling approach, boost our feelings
of things like trust, compassion, and empathy. It motivates us to
work with others and positively influences
our behavior. Because of this,
data storytelling has unique ability to
build connections.
9. Apply it Like a Pro: This is a wrap-up section, but I would just like to
highlight the different usage, share practical applications of these step-by-step
data visualization. Here to your first
practical application is for financial reporting. By offering detailed views
of company's financial data, executives can trim structured or unstructured
data into insights. The gain deeper knowledge of key trends that promote
better decision-making. Another one is for
Investor Relations. Investors should understand
big data and make informed investment decisions by collecting the available data, identifying trends
in the industry, and managing the
assets properly. Additionally, we can apply these data visualization
in iOS writing exam. For us to passively
spend seven and oils, we need to describe
a graph or chart, not less than 150
words within 20 min. Your sentence organization, launching and accuracy
will be stored here. Next is for broadcasting. If you are in the field of mass communication
or journalism, you need to gather data, check the facts,
and deliver it to your audience in a more compelling and
comprehensive manner. And needless to say, data visualization is essential in problem solving and
critical thinking. Alright, these searches, some of the practical
application is, so our step-by-step approach to present graphs and charts. I highly advise you to utilize this approach in all aspects
of data visualization. Finished, just a short recap. Once again, these are the six
steps to present your data. Select the most
appropriate graph or chart depending on your main purpose
and the size of your data. Next, give a simple and brief
introduction of the graph. Then present the bigger picture of what the chart is telling us. Explain the degree and speed
of change in the figures. So we can give a more
accurate explanation. Analyze the chart, but from
a different perspective. And finally, a strong
compulsion and recommendation will provide an impactful sense of closure. Done. If you have any clarifications, please feel free to ask me if I mistakenly said something. Please correct me. I am teachable. I'm not always right.