Data Visualisation using Python
“A picture is worth a thousand words”.This is the basics for data visualisation.It especially applies when trying to explain the insight obtained from the analysis of increasingly large number of databases. Data visualization plays an important role in the representation of both small and large-scale data.One of the mandatory skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way. Learning how to leverage a software tool to visualize data will also enable one to extract information,understand the data better, and make more effective decisions. Hence data visualization is the graphical representation of data in order to interactively and efficiently convey insights to clients, customers, and stakeholders in general.Python is an interpreted, high-level, general-purpose programming language. Data visualisation can be effectively done using Python.
A Data Visualisation expert interprets data and turns it into information which can offer ways to improve a business, thus affecting business decisions. Data Analysts gather information from various sources and interpret patterns and trends.They must be able to develop new capabilities for our clients beyond static reports and spreadsheets.They must pulse on new technologies and must have a desire to change the way business gets done.They need to help clients effectively and manage enormous amounts of data to generate knowledge and value.