Data Visualization for the Dataset Collected from Education Sector Using Python

Visualization is the representation of information in the form of various charts or images. Data visualization is used to identify useful patterns, to understand trends, and to find out outliers in dataset. Data visualization is applied in all sectors such as medical, engineering, etc. for analyzing the data. Data visualization is also useful to instructor as well as students in education sector. In this research article, we have used the Python Programming Language features to visualize the data collected from university related to Four Years Computer Science and Engineering Programme related to result analysis ledgers of students for the Academic Year 2014–15 and 2015–16. Python features such as streamlit, pandas, altair, and random are considered to create the visualization of data. Various charts such as Pie chart, Scatter plot, Box plot, Density chart, Heatmap chart, Distribution Box Plot, Distribution Histogram, Distribution Line, and Distribution Swarm are used to visualize the data Teacher point of view, Students point of view, and Course-wise. From teacher/ instructors point of view, it is used to analyze the data semester-wise, and Yearwise for grade distribution, marks distribution, and percentile distribution while from students/ learner's point of view, data visualization examine the data semester-wise, and Year-wise for marks and grade analysis of particular student. In case of course-wise part of visualization, we can see students-wise grade and marks of particular course, course-wise distribution, course-wise Distribution Histogram, course-wise Distribution Line, and course-wise Distribution Swarm.