EMOTIONAL
Understanding the emotion, sources, dates, and confidence scores in the data.
A polished CSV file is produced at the end of the comprehensive data cleansing procedure, which is included within a Jupyter Notebook. I then use Pandas, NumPy, and Matplotlib in another Notebook to carry out various statistical studies. To efficiently depict trends connected to data sources and emotion distribution, visual representations like histograms and bar graphs are used. As part of my research, I am also investigating the analysis of daily confidence score patterns by drawing conclusions from the "DateTime" column.
Jupyter Notebook : open-source software.
Language: Python.
Data manipulation: Library pandas for python.
Data Source: customer feedback