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Data visualization helps you present data in ways that everyone can grasp. While some use codes, many tools can help you create stunning visualizations without this skill. You require tools that make your data visualization process convenient and painless.
Data analysis requires examining data and drawing conclusions. When you see a chart, for example, you see trends and outliers. So, coding is not a necessary skill in data visualization and analysis.
You don’t need to write any code to easily create interactive data visualization. In this article, we will show you the best no-code tools that are easy to use, have great graphic designs, are interactive, and contain more features to make your visualization sophisticated.
New at Data Visualization? No Worries.
The greatest challenge organizations experience is moving from collecting data to putting the data to use. It is simple to record rows and columns of data. But, to what end?
Data is powerful and can help you transform your organization if you analyze and find meaning in it.
Data collected in a spreadsheet contains the same amount of information. However, it is until you transform it into something visual that you can start to gain insight.
If you are new at data visualization, it is best to go for user-friendly tools. Many data management tools require you to have deep technical knowledge. Luckily, you can find the best no code tools to help you analyze data.
Data visualization does not require you to have coding skills. Here is the list of best tools to create stunning data visualization and no coding is required.
Almost all of us are familiar with the first two tools, but the third tool ChartExpo can take your analysis journey to next level by making interactive visualization that is easy to read.
ChartExpo is one of the tools you can use to create amazing visualizations. It enables you to create visuals like histograms, line charts, pie charts, bar charts, scatter plots, interactive Sankey diagrams, and many more custom charts without any coding.
If you want to visualize map data, gauges, and percentages, chart widgets on ChartExpo are the perfect feature.
You can also export the charts to impress your audience with beautifully done social media reports, goal projections, and sales reports using a variety of ready-to-go templates.
To well represent your data visually, you need an effective tool, and ChartExpo offers just that.
You can select a chart from a library of visualizations. After creating these visualizations, you can directly add them to the documents you have been working on using. They could be proposals, reports, infographics, etc. This makes your work easy and convenient.
Another advantage is that you do not have to keep switching between spreadsheets and ChartExpo when creating visualizations. You can add ChartExpo to Excel via the add-in library and integrate data you have recorded in Google Sheets into this tool as well. Awesome, right?
The first step is to go to Google Spreadsheet.
Click on Add-ons on the toolbar.
Click on Get add-ons.
Search ChartExpo.
Click on Install.
Time is Money, then why waste your time and energy in creating visualization in Excel with VBA-coding when you have the best no code tools to create interactive visualization in just three clicks. The next thing you need to know is how to add ChartExpo into your Excel.
Follow the below easy steps:
The following screen will appear after step 3.
Add-in will then be added to your Excel after these steps. Now you can create your visualizations. The below screen will appear. Log in with a Microsoft account or create a new account by clicking the “Create New” link button. Log in with an existing account or create a new account and start using the add-in.
Do not worry. Once logged in, you will not have to do it again. Make sure you install service pack 1 into windows in case you are using Excel version 2013.
Once ChartExpo is loaded. By default, you will see a list view of charts.
There are different options available to visualize your data with the ChartExpo library:
This ChartExpo proprietary chart represents bars in two-level hierarchies. The bars in cyan color represent the percentage of all categories, while the blue bars are the subcategories. The top of the chart is reserved for the most important system of the hierarchy.
John owns an advertising company. He decides to run marketing companies on his social media pages. Since this was a big project, stakeholders want him to present the results. John is going to show the results using data visualization. He compiles all the traffic from the campaign on the website and social media pages and drafts a report. He then downloads the report from Google Analytics. In his visualization, John wanted to show stakeholders the results the campaign achieved and areas of improvement. His visualization of choice was the Crosstab chart on ChartExpo.
To draw the Crosstab chart, open ChartExpo and follow the steps mentioned above.
Before concluding the chart, John wanted to communicate the relationship between quantities for the stakeholders to understand.
He noticed there were two axes and two bars against each browser.
According to the insights, Quora got 18% of total conversions. The chart divided this 18% further into subcategories like Android Web view, Chrome, etc.
From this information, he was able to analyze which platform offered better conversions. 26% of Quora conversions came from Android Web view, 25% from Edge, 19% of Quora conversions came from Firefox, 10% from Safari. These insights would help the stakeholders take the necessary action to optimize the marketing strategies of the company.
Another chart that you can use to represent your data is the comparison sentiment chart. It shows how different categories of data compare in a series of data points called markers. A line comparison chart shows how a particular set of data changes at equivalent intervals of time.
A hospital is going through some administrative changes. One of the things they decide to do is a quality survey of every department. The intention is to find out how the team behaves when visitors arrive at the hospital. To start, a form is printed for every department. The form will be issued to every visitor who has been to those departments. The form asks the visitors to leave a comment about the behavior of people they interact with. The survey is conducted three times in three years.
After the data is collected, a data analyst was hired to represent it in data visualization. It was a challenge finding the best one to use. However, after research, he found out that a comparison sentiment chart would best represent this data. First, he split the survey into three main categories. The main categories would then have subcategories. He then placed the subcategories in each main category. The subcategories had the number of visitors who commented in the survey from each department. With no coding experience, he was still able to use the chart.
To begin, he transferred all data in an Excel sheet and filled the first column with year, second with metrics of every service provided by the hospital. On the third column, he assigned positive, and the fourth column with negative.
He then opened ChartExpo, clicked on the comparative chart, and then clicked on the comparison sentiment chart. He clicked on columns and selected whole columns. After that, he clicked on create chart from sheet data.
This was his result:
The next step was to study the chart, get insight, and then present it to the clients. In the presentation, he explained to the clients the status of every individual team. The first concern was whether the behavior has improved over the three years or not. If it improved, to what degree?
In the chart, he decided to go with blue for services. In 2016 there were 63% negative reviews and 37% positive reviews. In 2017 there was a turn around with positive reviews drastically going up to 98%. However, in 2018, they went down to 75%.
He used grey to represent customer experience. In 2016 there were positive reviews regarding customer experience (82%). However, the following year it remained almost the same, improving only by 2%. In 2018, there was an improvement to 89%.
He used orange to show staff. In 2016, negative reviews were at 62% and positive reviews at 38%. The next year, the negative reviews went down to 30% showing an improvement in staff behavior.
This representation is self-describing and clearly displays the insights. A person with zero data visualization experience can understand it.
Have you found yourself being asked questions you cannot answer during a presentation? Most times it is because the information they are inquiring about is in another document you can’t trace. You often respond by saying you will get back to them in an email.
ChartExpo helps you fix this problem. An information dashboard helps you see the data in real-time. It helps you see the data from the viewers’ perspective, so you will have already gone through the question in your head. No more saying ‘I will get back to you on that,” in your presentation.
Another scenario you might have gone through is having to pull out data from a previous meeting? You have the risk of sharing inaccurate information because you are in a rush. The beauty of having a dashboard is that your audience can view the data without you having to sort through raw data. This saves you so much time and effort that you can use to focus on other things.
Interactive representation of data affects organizations’ decision-making positively. Businesses can now identify patterns quickly because their data is presented in graphical or pictorial form. Data visualization has the following benefits:
Data in spreadsheets does not show any relationship. Data visualization makes you make correlations between independent variables for better business decisions.
This is the most valuable benefit. It is impossible to make predictions without having records from past and present. Data visualization helps you track where you have been, where you are and where you are going.
By analyzing the frequency in terms of how often, rate, and what time customers interact with your brand, you can create marketing strategies around this information.
Data visualization helps you gather information from other competitors in your niche. This gives you insight into what to focus your attention on to remain competitive.
Data visualization helps you look at value and risk metrics. With this information, you can identify areas that require action.
Data visualization does not require you to have coding skills. We have talked about the best no code tools that help you create engaging and impressive visuals. One such tool is ChartExpo which has various features that represent different variables of data in Google Sheets and Excel. For example, the comparative sentiments chart compares different facets of data and shows how they relate to each other. Data visualization helps you save time you would have spent moving from one spreadsheet to another. You can create reports & dashboards and have all the data in one place with no coding experience.
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