a well-designed chart can communicate data to your readers in just a couple of seconds, a good graph can make your arguments more persuasive.

your data more memorable and, in general, can make them more attractive for your readers, but a poorly designed chart will do the opposite, often a poor chart The layout boils down to the fact that you are using the wrong chart type to the data you want to visualize in this episode of infographics 101 am

How to Pick the RIGHT Charts For Your Data

I will show you the best chart types to use with your data and also we’ll give you some of the best graphics design practices you can apply pretty much any chart you create, Let’s start, Hi, My Name Is Sarah and I am the editor of the Venn gage blog at Venn gage, our goal is to help people visualize your ideas using infographic graphics and more that I will give you have a lot of information in this video, but don’t worry, we have compiled all.

these tips plus a bunch of beginner templates you can use in

the blog post I’ll link to in the description box below, but before we dive in

subscribe to Venn gage so you never miss any of our useful designs

guides before you dive into creating a chart, you need to determine what

The goal of your chart will be because that goal will help you choose the best type of

graph to visualize your data, but that goal must be more than

Just make my data interesting at Venn Gage, we have developed a method for

choose the best chart type for your data and we call that method the iCore

method my course means inform compare change organize reveal

relationships and explore. I’ll walk you through every letter in ICOR and

make recommendations on the best chart types to visualize that goal

first in the form,

do you have a message that you really want to hit your readers?

head with some important key data you want to make sure

that do not miss and remember that this way of doing it is to create a font

focus chart that uses large, bold color fonts to highlight the key data source

Focus charts like this are perfect for sharing on social media and blog posts.

and presentations and anywhere you really want your data to make an impact

in your readers, you can use visuals such as shapes or icons in this chart type to

help bring the point home and help reinforce the message, for example, you

you could use an arrow to indicate growth or decline on your chart if you want

display proportions that an icon chart could use in an icon chart the color

Fill in the icons represent different numbers, you can also use a similar symbol.

type of graph called a pictogram in a pictogram icons are used to represent

different units or Numbers for a graph like a pictogram, it’s good to stick to

round numbers like 10 or 100 so that the data is easy to understand if not

familiar with pictograms, we have a great guide that shows you how

use them and it also includes a bunch of templates for you to get started. I’ll link

to that in the description box is also OK, the next goal of iCore is to compare if

you want to compare similarities and differences between things, then there are

a bunch of different chart types that could work, you can use a bar chart or a

column chart to compare values the difference between a bar chart and a

column chart is that the bars in the bar chart run horizontally and the bars in

the column chart runs vertically, generally bar and column charts

Charts are the most reliable type of chart you can use to compare data.

in fact, a study by data visualization experts found that the bar

Charts were one of the easiest types of charts to decode for people.

that in the description box if someone is interested in reading the study, the bar

Charts and column charts can be used virtually interchangeably the only time

that it would be better to use a column chart if you want to display changes

with Time

meanwhile, bar charts are good if you want to add long, detailed labels to your

bars because they offer you enough space to do it now if you want

compare independent values with clear outliers, then a bubble chart is a great

way to do it, but what starts is really fun in a bubble chart, the values are

represented by the area of a circle as opposed to the length of a bar as in a

bar chart now, in general, people are not so good at judging the area of a

circle, that’s why bubble charts should only be used

when there is

they are very clear outliers that you want to draw attention to, as you always should

Also make sure to clearly label your bubble charts to make it evident

immediately what people should take from the chart now to compare pieces

of a whole, I could use a pie chart now that there is some debate in the data

display Field on whether or not you should use a pie chart and one

One of the main criticisms is that pie charts can skew data

but there are some best practices for pie chart design that you can follow to help

prevent your data from being diverted, we recommend ordering your pie chart

segments from high to low starting at 12 o’clock and then working your way

round the circle clockwise and living in yourself to no more than 7 segments

in a pie chart it is also important to note that pie charts have their

limitations, for example, are not ideal for comparing compositions of

multiple values in that case, a stacked bar chart or column chart would work

much better, the third goal is change, so let’s say you want to show trends

or changes over time and space the most common types of charts you have

probably seen to visualize this type of data are line graphs and area graphs

In general, line charts are the most effective chart type to display

trends and changes in time and space because they allow you to adjust a lot of data

points on a chart and allow you to display multiple data series similarly

you can also create area charts, while area charts can be a bit more interesting

to look, they also require a little more delicacy to create, as a rule of

thumb, you should not use more than four data series in an area graph

You should also make sure that the areas are transparent so that you can

see the lines in the chart below if you want to visualize events over time

You can use a timeline infographic timeline infographics are great for counting

stories visually and to show the steps in a project or process that

In fact, have a video that walks you through the nine different types of

infographics you can create. I’ll tie it to that in the corner.

say you want to show changes or trends in a certain location to show

location data you can use a choroplete map

Koro plus choroplet map which is always a good bite using a choroplet map

shadows to display different values, e.g. population density if desired

to display changes in location data, you can use a series of choroplete maps

To do that, it is well organized the next goal, there are a lot of different

ways you can organize your data visually can display group ranges

patterns and order the first is a simple numbered list a numbered list is a large

how to classify or sort textual or linear information and the good of a

The numbered list is that you can really disguise it and make it really visually appealing.

for presentations on social networks or in the classroom, you can also use a table to

organize values, a simple table is useful for when you want your readers

view individual numbers or if your dataset contains several different units

now the only thing is that the tables can be a bit boring to see, that’s why

You can use colors to highlight different sections, bold fonts for your

simple headers and graphs as icons to help reinforce your data in another way

to group your information and show where the different groups overlap

is to use a Venn diagram and a Venn gauge diagram you get a

anyway and you can use a mind map

to show the relationship between different

groups of information and individual pieces of information typically a mind

The map will start with a central idea and then have different ideas of support.

branching out from him well, the penultimate goal at ICOR is

reveal relationships, so there are two key types of relationships that

You probably want to visualize with a graph and that’s correlation and distribution.

let’s say you want to show the relationship between two variables as

age and height or month and whether a scatter plot is the most reliable type of

graph to do this, scatter plots are useful because they allow you to show the

data that helps prevent your data from being skewed by your chart in the meantime if

you want to display the distribution of a single variable, you could use a

histogram a histogram is a type of chart that displays data by using multiple bars

heights you’ve probably seen on a histogram to show demographic age

data, but you can use histograms to display all types of data distributions and the

The ultimate goal in ICOR is Explorer, this is when you want your readers to be able to

delve into the data itself and draw your own conclusions, that’s why if

the goal of your chart is to allow your readers to explore the data that you

you probably want to create a chart that is interactive

now, interactive graphics require more work, but they can be a big plus for

including and blog posts or microsites with the Venn flag that you can create

and then embed interactive versions of those charts that allow you to

readers to delve into different aspects of the data, you can find all the

Our graphics templates in this link I will include the link in the description box

then it’s okay, now that we’ve gone through the different main goals that I’m going to achieve.

Give you some of the best fast graphics practices that everyone should use.

these best practices will help ensure that your data is not diverted and that

your charts will be easy to understand, the first tip is to start your chart

axes at zero starting the axes of your graph at a non-zero number can make your

that the data is distorted, this is called Axis truncation if you have to start your

plot axes on a number other than zero, then you have a good reason for it and be

make sure the intervals between ticks in your chart are consistent

it will help prevent your data from being diverted, you may have heard of the data

Visualization guru Edward Tufte coined the term data ink ratio for

emphasize the importance of minimalism in graphic design basically the most

Notable colors in your chart should be used to highlight data B along with

that advice comes our third advice which is to use the color for the function, not for

decoration when it comes to making graphics work, not fashion comes first

to prevent things from getting messy, limit yourself to no more than 6 colors in one

given the chart, the fourth tip is never to forget the labels ‘ legends and annotations

when it comes to graphics, labels are your friends, people need to know what they are

looking at this is not abstract art, people use graphics labels and headers to

clearly state what you want your readers to get from your charts the fifth

The advice is to sort the data logically, this may seem simple, but

repeating basically you must present your data in the order in which your readers

expect that in a timeline infographic you will want to make sure that your events

they are sorted from top to bottom or from left to right and on a pie chart

you would want to make sure your segments are sorted from highest to highest

smallest and final best practice

is to keep it simple, you may be tempted

to add a bunch of bells and whistles to your chart design, but practice moderation

if there is too much data or too many design elements in your charts, you can

become really easy for your graphics to become messy

and confusing and that your data is biased, which is the opposite of what

want some general rules to keep your charts under control is to use less than six

lines on a line chart less than 10 bars and a bar chart less than seven

segments in a pie chart, but if you have a ton of data you need to enter

a chart, don’t worry, in a way you can avoid

your graph so it doesn’t look messy is to use a bold color for the data and then

to contrast that with a neutral background and the extra tip is to get a

friend to look at your chart because you will be able to tell if it is

confusing or not okay, that sums it all up for this video if

If you have any questions about graphic design or if there is any advice we missed.

feel free to share them in the comments section below and if

I found this video useful, please point it out and don’t forget to

subscribe so you don’t miss any of our helpful design guides for all

graphic templates and infographics you saw in this video plus a ton more head

to our template library at Ben Gage com bar template this is Sarah

goodbye see you next time for another episode of infographics 101

brought to you by then caliber

Data Visualization 101: How to Choose the Right Chart or …
Design Best Practices for Column Charts: Use consistent colors throughout the chart, selecting accent colors to highlight meaningful data points or changes over time. Use horizontal labels to improve readability. Start the y-axis at 0 to appropriately reflect the values in your graph.

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When you need a chart for indicating the trend of a series data in a fixed period, there are two basic charts proper for you – Column Chart and Line Chart. Both two charts show the changing trend with differences of data. You can also combine them into one chart named Pareto chart which is better for knowing relevant trends.

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To create charts that clarify and provide the right canvas for analysis, you should first understand the reasons why you might need a chart. Consider these five questions when choosing a chart for your data:

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Choosing the right chart or graph. Now that you’re aware of the different elements that can influence how to visualize your information, your next step is to find the right chart or graph to tell a better story. In a nutshell, your data visualization goals can be narrowed down to the following: 1.

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The choice of charts is a function of the questions you’re attempting to answer, the data type, number of variables involved, variable type, the real-estate available and several other reasons.

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Pick a topic and clearly label your subcategories – Decide what information you want to convey with your pyramid and clearly label your layers. Organize your subcategories – Decide the order and value of each section on your pyramid. Organize the subcategories based on their hierarchy.

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Building chart is an integral part of data analysis. It helps to decide how to analyze data, how it is distributed, etc. Therefore, it might be high time for you to use charts to your advantage. Let’s dwell on the key concepts you need to know. Sometimes it is complicated to choose the most suitable and handy chart for your dataset.

Choosing a Chart Type – Data Visualization – Library …
Choosing your chart or visualization type When selecting the right type type of visualization for your data, think about your variables (string/categorical and numeric), the volume of data, and the question you are attempting to answer through the visualization.

How to Choose the Right Excel Chart Type for Your Data …
When you’re comparing two or more items or values at a fixed point in time, your best choice is a bar chart. In a bar chart, each data point is represented by a horizontal bar going from left to right. Each person or thing represented has its own unique bar on the Y (vertical) axis; values for each bar run along the X (horizontal) axis.

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Using the right type of chart will help you in many ways: Charts make your data easy to understand. Charts help people quickly see the key trends and the orders of magnitude. Charts are easier to remember than large list of numbers . Charts allow you to highlight the key insights your audience should focus on to extract actionable information