Understanding Complexity in Language Learning Through Data Visualization Using Python

This paper helps to examine the convolutions faced while learning a Language and helps to overcome these challenges. Technology today has boundless possibilities in providing to all initiating the capability to access and easy incorporation of effective techniques when it comes to language learning. Methods to use the technology include focus based education which is stress-free to learn. With the hi-tech uprising and e-learning system Language learning has developed as one of the world's most imperative tools for official communication in the contemporary virtual and digital era. Teaching of a foreign language is at all times challenging in general is an issue particularly associated to the classroom situations. An online survey was conducted to collect the relevant dataset on which the results are based in this paper. This research paper helps to understand the complexity in language learning by using data visualization. Heatmap and Facegrid maps are also generated to visually demonstrate the complexity while learning a language. Spyder environment is used to evaluate the dataset to generate the code.