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You need to arm yourself with the best data visualization tools that will communicate the message almost as soon as you set your eyes on it. 2023 is not a time to slack. In this generation and age, the average attention span of a human has dropped to 8 seconds or less.
There are numerous data visualization tools in the market but there are some on the top which have features that make them a market leader. After analyzing many factors we have prepared the list of best data visualization tools which is as follows:
The best tool among them is ChartExpo which is the choice of more than 30,000 users. In this blog, we will tell you in detail why these tools are top of the list and how to use them for your analysis and creating amazing visualizations.
You cannot afford to dish out information that just sucks. People can’t stand it. They are distracted. Customers are bombarded with too much information. Having information that is wordy and boring means nobody listens to you. And nobody listening to you means getting fired by your employer or your client. As a digital marketer, data analyst, or business owner, you come in contact with data regularly.
It is either marketing results, office productivity measurements, or revenue-expense data. Whatever it is, you need to communicate the results to your team lead, your team, or your client. Now imagine that the person(s) you want to communicate it to only have 8 seconds to spare.
How in the world do you try to make the person understand all you want to say within that period?
It sounds almost impossible. But there is a way. You need a tool that will communicate the message almost as soon as you set your eyes on it.
In this article, you will see the best data visualization tools to use for this purpose as well as how to use them. Shall we?
There is no need to beat about the bush.
The only way to send clear information to a person in such a short period is through images.
You can’t go about trying to cram a thousand words into a person’s head within 8 seconds.
The process of making spreadsheet data into pictorial representations is what is called Data Visualization.
This helps businesses and individuals in different ways.
The more information you have about your customers, the easier it gets for you to have your products tailor-made to suit their needs and preferences.
After you get this data, understanding it is what helps to make an informed decision.
Data visualization is what helps to understand the story that the dataset tells.
However, before getting the perfect data visual, there is one crucial thing to know and have.
It is a well-formed, clean, and organized dataset.
The type of information you are looking for is what determines the type of data you want to gather.
A dataset is an organized table of rows and columns on a spreadsheet.
Arriving at this stage is no small feat.
First, you would have to select the exact details you need to arrive at an effective result.
Irrelevant data is the bane of useful and straightforward information.
To select useful data, you need to understand your goal for the data analysis.
Your purpose may be to compare costs of marketing in month A and month B.
It may be to check the average time spent by visitors on a website page (session duration).
You might have been asked to find out which 3 keywords have gotten the highest conversions in a certain location.
All different goals will determine where the data can be found.
It will also determine the specific details that should be extracted and how much of it you would need.
These practices are what come together to form a well-organized dataset for visualization.
When organizing your data, it is best to have it clear and simple.
Clear and well-explained datasets will mostly translate to great visuals.
Avoid having messy data with too many rows and columns.
Too many rows and columns with messed-up data will only make the set unnecessarily complex and confusing.
You need just enough details to get your data ready for visualization.
Now, we cannot talk about best data visualization tools without discussing data visualization itself.
After getting and organizing your data, extracting information from it is next.
To manually organize and analyze data may be extremely stressful, take an enormous amount of time, and still leave you confused.
And to just stare at your spreadsheet crunching numbers of keyword clicks surely does not sound fun.
Converting the numbers into a pictorial representation is what makes it all easy, fast, and fun.
Also, you can immediately garner insights from all the numbers and take necessary action.
The process of making your data into a picture is called data visualization.
And these pictorial representations are called data visuals.
Here are some of the important properties that make great data visuals
In data visualization, less is more.
Too many colors, too many figures, and too many categories harm the essence of the visual.
The visual must be full enough to pass the message swiftly. And must be clear enough not to leave confusion on its trail.
Once it becomes rocket science to spot the patterns in the visual, there just might be a problem.
When you look at a good data visualization, the trend and pattern it makes are very clear.
And with this, you can easily identify problems before they arise and take the action required to increase profits and productivity.
When your visual possesses these features, you will have achieved the purpose for creating the visual.
Next up, we discuss the tools for visualization, how they work and how you can select the best tool for your organization.
They are software tools that provide easier ways to represent large datasets visually.
These tools handle tons of data that include hundreds or thousands of data points to automatically create meaningful visuals.
The visualization tools can be used to represent diverse business data, research data, and other data types.
This includes sales and marketing data, annual reports, monthly reports, office productivity data, investor slide decks, etc.
The main benefit of this type of tool is to make data interpretation a lot easier.
All data visualization tools vary in their interface, user experience, and how the algorithm works to produce the visuals.
However, the way they work and the features they exhibit allows a few of these tools to be most preferred for businesses.
The best Data Visualization tools make use of widgets in creating the visuals.
In getting this done, they have to operate various types of data sources such as files, web API data, a database maintained source, flat files, and others.
As an individual or business, you should find a visualization that works best and does everything you need for your dataset.
To find a visualization tool that works best for you, there are features to look out for.
These features help you achieve different things in the process of creating an effective data visualization.
I’ll walk you through the features and how to pick the best visualizations in the next section.
Of different available software, some features help each tool to stand out.
Here, we will see some characteristics to look out for when picking a data visualization tool.
One of the things you are already looking for is a tool that is Easy to Use.
There are apps and software that are complex to get around.
Best Data Visualization tools usually have tutorials and aids for users.
The interface of these easy-to-use tools is usually intuitive.
You almost know exactly where to go and what to do.
This makes the app very straightforward and takes almost no effort.
Another thing to look out for in picking a visualization tool is the ability to connect to data sources.
This ability means that you can find it easy to import data directly into it without manually arranging the data in the tool.
Apps that also handle a large amount of data are great for visualizations.
Some visualization tools just fall apart when tasked with huge data.
Being able to manage huge and small data without messing it all up are signs of a great visualization tool.
The one equally important characteristic is the ability of the software to export your data visuals.
After creating visualizations for your data, you may need to use it in a report, a presentation, or just to show it to your team.
The ability for a tool to save your visual in its system and export the visuals into your device storage is important in selection.
Before I show you a data visualization tool that does all this, let’s see one final feature.
When talking about software for business, we definitely cannot overlook cost.
When considering cost, consider more what you need and can get from the tool.
Higher prices should be justified by a better output and user experience.
Lower prices don’t also write off a tool.
What matters is the ease of using the tool and all other features mentioned above.
One major tool that helps you best depict your data without stress and helps you communicate it at a glance is ChartExpo™.
Let’s check it out in the next part of this article.
With all the features listed above, it might take a whole brainstorming session to figure out which tool might be best for you.
To help you avoid wandering through apps looking for the best tool, I want to show you one.
ChartExpo™ for Excel is a more advanced and yet simple tool to use for your data visualizations.
It is advanced in that it can handle huge and complex datasets without falling apart.
It is also simple in that it uses a very easy and intuitive interface that makes your job easier and faster.
ChartExpo™ can help you easily create different chart types.
Some of the representations include Line charts, Bar charts, Pareto chart, Sankey chart, Scatter plots, and many other custom chart styles.
These different chart styles are suitable for different types of datasets.
Datasets do not use the same types of pictorial representations.
Therefore, for each dataset you have for visualization, you can find a perfectly suitable chart style for efficient representation and analysis.
ChartExpo™ is best for visualizing tables, arrays, map data, percentages, averages, and more.
With ChartExpo™, you can create impressive dashboards to track business insights.
You can also use the app to create social media reports for clients and employers.
It can also be used to create sales reports for businesses, monthly and annual projections, and others with ease.
ChartExpo™ is useful for all individuals and businesses that need to save time, energy, and concentrate on more productive things.
Getting started with ChartExpo™ is as easy as it gets.
If you already have your dataset in your Excel spreadsheet, you can start by inserting it into your Excel interface.
If you do not have the software, you can download it from the Microsoft Office store.
To see a step-by-step method of using ChartExpo™, click here.
Let us take an example of the Sankey chart. How it can be used and what it is most suited for.
Sankey charts are used to show the flow of measurable resources in proportion to the quantities.
This means that it shows the movement of a variable (cost, materials, and conversions) in proportion to the quantity of each.
From Sankey diagrams, you can garner information such as largest consumers, lowest consumers, largest and smallest demography, etc.
The Sankey charts use the width of flow to represent quantity.
It also uses the nodes to show the measured variables.
The Sankey chart is used in data to determine energy efficiency, marketing analysis, supply chain management, etc.
From the chart, it is obvious that more males (7.07k) clicked on the ad than females (6.25k).
We can also see that the least device used was the desktop. And the desktop users were more female than male.
All in all, the most clicks came from the age range 25-34. And the least was from ages 45-54.
The ad can therefore be better targeted to areas when it has been proven to get more attention.
The world is in such a hurry.
It is so bad that trying to carefully understand or explain a set of numbers to improve business will not work anymore.
They only have 8 seconds to get everything the data says.
And the only way to give out all that information within that short time is through data visualization.
Before that, you need a very clean dataset.
And after that, you need to pick the best visualization tool for your team.
The best data visualization tools such as ChartExpo™ for Excel has certain features that help you get what you want in less time.
One major feature is the ease to get started.
Time is money. You need less stress to be more productive.
The whole solution is in the use of this article to fast-track your success from now.
It’s about time.
Go! Go!! Go!!!
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