Data-Visualization-Projects

Challenge with the most important visualization's libraries (Seaborn, Matplotlib, Plotly and NetworkX)

Seaborn and Matplotlib

Solo project with some of the most important libraries for data visualization. For this assignment we will use the following dataset available in https://www.kaggle.com/prasertk/healthy-lifestyle-cities-report-2021. Each row in the assignment datafile corresponds to a city. For this challenge, we were required to use seaborn and matplotlib to represent the most important features of the dataset.

Author

• Enrico Romano

Hobbies Analysis

Group Project for the Data Visualization course with other important data visualization tools such as Plotly and NetworkX. For this project, we used the following dataset https://www.kaggle.com/code/ankur310794/network-analysis-of-hobbies-interests/. Our focus was to draw a network with its communities in order to perform a marketing analyis based on film and music genres. Our Dataset analyze Slovakian people's hobbies and interests, aged between 15-30. Data have been collected in 2013 from statistics students in FSEV UK who invited their friends to participate in the survey. The dataset consists of 1010 rows and 150 columns (139 integer and 11 categorical)

Authors

• Enrico Romano
• Simone Lu
• Leonardo Crescenzi