Data Visualisation 

Data visualization is a representation of data through the use of common graphics, like charts, plots and infographics and also animation. The visual displays of information communicate complex data relationships and data driven internal matters in a way to understand easily. Data visualization will be utilized for a variety of purposes, and it’s important to note that it is not only reserved for use of data items.

Data visualization is considered to generate ideas all over the team. They are leveraged while brainstorming or by design thinking sessions at the beginning of the project by supporting the collection of different perspectives and highlighting the common concerns of the collective. While these visualizations can be unpolished and unrefined, they help set the foundation within the project to ensure that the team is aligned. They help set the foundation within the project to make sure the team will be aligned.

Visual discovery and every data, namely more closely aligned with data teams. While the visual discovery will help data analysts, data scientists and other scientists and other data professionals identify patterns and trends within the dataset, every data named supports the subsequent storytelling after a new site will be found.

Types of data visualizations are:

• Histograms- The graph plots as distribution of numbers by using a bar chart representing the actual quantities of data that falls within the range.

• Scatter plots- The visuals that are beneficial in revealing the relationship between two variables and they are  used with regression data analysis.

• Heat maps- These graphical displays are helpful in visualizing behavioral data by location.

• Tree maps- It displays hierarchical data of a set  of nested shapes, rectangles.

Data visualization tools assists all from marketers to data scientists who will make raw data and explain everything by using charts, graphs and also videos.

The data visualization tools are

1. DataBox

Databox is a data visualization tool used by over 15000 businesses and marketing agencies. This Databox will fetch data into one place which tracks real-time performance with getting visuals. The Databox is suitable for marketing teams that want us to get the set up with dashboards quickly.

2. Zoho Analytics

Zoho Analytics is one of the most popular BI tools. We can stay assured that with Zoho analytics, we can upload our data securely. We can use broad ways of charts, tables, and components to convert our data concisely.

This is good for catering to vast enterprises such as Bajaj Allianz, Maruti Suzuki, HP, Hyundai Motors, and HDFC.

 Features 

• This supports us in doing visually appealing data visualization reports.
• It decidedly is straightforward, and therefore the dashboard is highly intuitive.
• It helps in extensive customer support, which comes in handy.

3. Tableau

We can work out and visualize data quickly, then Tableau is a data visualization tool for you. It supports us in creating charts, maps, and each other types of professional graphics. To upgrade our visual representations, we can find the applications additionally.

The advantages are:

• This product will have mobile-friendly
• It accepts extensive customer support.
• It accepts us to perform data blending.
• It provides access to all types of data analytics, including IT analytics.

4. Infogram

Infogram is a web based data visualization and infographics platform. It also permits us to make and also share infographics, maps and charts by taking all the user data and converting it to compelling graphics.

The advantages:

• Being useful for useful for corporate and government bodies and also student-friendly
• It creates customizable templates to assist us in adding colors, fonts, and logos.
• These templates will assist in creating social media images, dashboards and reports.

Questions

1. What is Data Visualisation?
2. Explain some tools?