# Why Data Visualization Plays A Vital Role For Website Development Company?


Data visualization is the graphical representation of information and data using visual elements such as charts, graphics, and maps. It provides an accessible way to see and understand trends as well as patterns in data. In a [website development company](https://www.trusthavensolution.com/website-development-company/), data visualization provides an excellent way for employees or business owners to present data to non-technical audiences without confusion. In this article, we will cover examples of data visualization, which are indicators, Lines, bars, columns, areas, scatter, pie charts, graphs, and maps.

## Role of data visualization?

Data visualization is important as it helps people see, interact with, and better understand data and communicate insights from data. Why is Data visualization important? Data visualization's importance is simple as it helps to see interact with and better understand data. Whether simple or complex the right visualisation can bring you on the same page. In the best web development company, it helps to make tasks easy to understand. Such as:-

1. **Quick and easy:** Visuals communicate information easily and quickly in a clear and effective manner.
1. **Clear vision:** In web development services, visuals give us accurate insight as accurate insights from the data and it helps to correct decisions.
1. **Faster decision-making:** In Web development services data visualization provides faster decision-making and quick decision-making.
1. **Dynamic updates:** Dynamic updates is the method of presenting data that allows users to interact with it. Unlike static visualization presents a fixed view of the data, dynamic visualization allows the viewer to change the view and explore different aspects of the data.
1. **Applicable across various sectors:** In web development services visuals provide valuable inputs in many different fields: business, crime management, healthcare, education public sector, and many more.
1. **Spotting Errors:** Visuals help to identify errors in the data and that can be removed to get accuracy clarity and meaningful interpretation of the data.

## Benefits of Data Visualization:

The benefits of data visualization include the following:

* **Accessibility:** Visualisation tools make data more convenient accessible and understandable so that users can access and interpret and analyse it.
* **Interactivity:** Interactive dashboards have the functionality to allow the users and interact with the users and allow users to interact with the visuals.
* **Exploration:** More accessible data means more opportunities to explore collaborate and inform actionable decisions.
* **Visualize relationship:** Visualization relationship helps to create the connection between the data or show correlations between two or more variables.
* **Storytelling:** People are drawn to colored clothing patterns arts and culture architecture and more. Data is no different colors and patterns allow us to visualize the story within the data
## Tools for data visualization:

There are plenty of data visualization tools that suit our needs some are mentioned below:

* Google charts
* Infogram
* Grafana
* Chartblocks
* Fusion charts
* Data wrapper
* Chartblocks

## Types of Data Visualization:

Data visualization can be broadly categorized into several types The most common types of data visualization are mentioned below:

* **Column chart:** A column chart is a data visualization where each category is represented by a rectangle, with the height of the rectangle being proportional to the values being plotted.
* **Line graph:** A line graph is also referred to as a line plot. Which connects a series of data points using a line. This chart type provides a sequential value to help you identify trends.Shows a data time is connected by a straight line segments.
* **Pie chart:** A pie chart is a circular graph that represents data into individual parts called slices or wedges. These slices are shaped like a piece of a pie. Each slice of the pie chart displayed data as a percentage of a whole with a larger value having correspondingly larger slices.
* **Bar chart:** A bar chart is a chart that represents data with rectangular bars with height proportional to the values that they represent. Here one axis of the plot categories and the other axis represents the value scale.
* **Heat maps:** Uses color gradients to represent data in a matrix format and is effective for visualizing correlations, densities, or relationships in Large datasheet.
* **Scatter plot:** A scatter plot uses a cartesian plot to identify the relationships or correlations between variables. It also uses cartesian coordinates to display the value of two variables.
## Conclusion
Data visualization is a powerful tool that transforms complex datasheets into clear and understandable visuals. visualization should communicate the data set more clearly and effectively by using graphics. such as pie charts, graphs, and bar charts.