Top 8 Types of Data Visualization Tools – How Our Data Visualization Services Help You Leverage Them
Data is an invaluable asset for businesses across all industries. It is at the core of every decision that is made, right from acquiring new customers, improving products or services to analysing trends and more. Therefore, businesses need to capitalize on data to dig out insights that are indispensable.
A large amount of data paired with technological advancements has resulted in a wide range of data analytics opportunities for businesses. According to a report by Forbes, 49% of businesses are reaping benefits of better decision-making due to data analytics.
Data visualization is a method of data analytics that represents data in visual and graphical formats. It makes use of data visualization tools that offer an accessible approach to analyse huge amounts of data and understand underlying trends and patterns.
Data visualization tools offer businesses the following benefits in data analysis:
- Comparing Data Sets – Data visualization helps in comparing data sets to identify differences or similarities between them and establish trends that can assist in decision-making.
- Determining Distribution – Data visualization helps in understanding the distribution of your data. This helps in determining the range extent between values to identify outliers that are characterised as abnormal values.
- Trend Analysis – Establishing trends in data sets with respect to specific timelines or parameters is easy with data visualization tools.
- Establishing Relationships – Data visualization helps establish relationships between various variables to identify the effect that one variable has on another variable.
Top 8 Types of Data Visualization Tools
Column Chart
Column chart is a commonly used data visualization type that shows comparison between different sets of data. It represents data parameters on a horizontal X axis and a vertical Y axis. It helps track data sets over a particular time period for example, monthly revenue, sales per landing page and so on. With the help of differing column heights, users can easily identify differences in data.
Line Graph
A line graph is a data visualization type that is used to reveal trends, changes, or progress over a particular period of time. It presents information as a series of data markers on the graph that can be connected using straight lines. It helps visualize trends in data sets over different intervals of time which can be essential in identifying data variables that are performing well.
Bar Graph
Bar graph is a data visualization tool that represents data using rectangular bars on a graph. The heights of these bars are proportional to their respective values. The bar graph makes it easy for the user to compare data sets in just a quick glance. It establishes a relationship between the two axes of the graph to show significant changes in the data sets over time.
Stacked Bar Graph
A stacked bar graph is a variation of a simple bar graph that shows different subgroups of data sets. These subgroups are represented by bars that are stacked on top pf each other. This enables a user to track growth of each individual subgroup, as well as the growth of the complete data set. It helps break down huge data sets for easy comparison.
Dual-axis Chart
A dual-axis chart is generally used to represent the relationship between two variables. It helps in presenting a large volume of data in a smaller dashboard that can help users understand trends. It facilitates combining multiple charts into one with the help of two Y-axes. This makes it very convenient for the user to track two variables against another common variable.
Pie Chart
Pie chart is a commonly used data visualization type that details one data parameter into different categories. It usually represents numerical values in the form of percentages. Each pie or division represents a different category. The common use cases for a pie chart are market shares, expenditures, customer demographics, profits and so on.
Mekko Chart
A mekko chart is a two-dimensional chart with varying segments stacked on each other. It represents values through both column width and height. It captures two levels of information and is generally used to track data variables such as markets or sales. It also helps in spotting differences in values of data variables. A mekko chart can also be used to analyse distribution of data.
Scatter Plot
Scatter plot or also known as scatter graph uses dots to present values of two data variables. It helps in observing the relationships between different variables. The scatter plot also helps in drawing patterns in the data set to identify correlations. Data points that are closer together represent a strong correlation and a data point upwards represents a positive correlation.
How Our Data Visualization Services Assist Businesses in Choosing The Right Tools?
Though there are several types of data visualization tools, it is important to choose the right ones that meet your business requirements. Some of the parameters to keep in mind while choosing the right data visualization types are as follows:
- Cater to your user base
- Maximise clarity and ease of usage
- Bring out meaningful insights
- Provide visually appealing and intuitive dashboards
- Intermingle multiple data sources
- Provide the right combination of information, function, and story
As leading data visualization service providers, we help you leverage the best tools to your advantage. We are experienced in developing a wide array of data visualization dashboards for clients across industries such as sales, marketing, healthcare, social media and beyond. For instance, for one of our clients in the logistics industry, we created an animated data visualization board to achieve differentiated data experiences which helped the client in mapping and locating exact locations of transport vehicles using geocodes.
We offer specialized data analytics and visualization services in various domains such as Klipfolio and Tableau dashboard development, custom dashboard development, and data visualization support and maintenance.
You can optimize the benefits of outsourcing Data Visualization services through access to our experts, specialized tools, and well-developed processes. You can read more about our Data Visualization process here.
Who We Are and What Makes Us an Expert?
This article is brought to you by getSmartCoders. We are leading data visualization consultants who offer services such as custom dashboard development, data visualization consulting, and data visualization support and maintenance. We leverage various data visualization technologies such as PowerBI, OracleBI and Tableau among many others.