This project aims to apply several steps of data refactoring and cleaning in order to visually analyze and introduce potential data fixes to the acquired data set. Such steps can help further identify relations, recognize hidden patterns in different countries, pay attention to trending categories and generally reach conclusions and answers about many proposed questions among the data records which in our case represents Nobel Prize winners.
The following research will be held in a Q&A driven structure; meaning we will propose potential questions and put effort into trying to derive answers and conclusions.
Initially, we used the following data set found at https://www.datacamp.com/projects/441. Additional data sets may be used in order to succesfully form a tidy data with less missing values and for the sake of adding more valuable records to the existing data set. All used references will be included in the next section.
We have been influenced by a lot of work after a research we conducted on this particular topic and we found the following sites interesting for a certain cause.
- https://www.datacamp.com/projects/441 - The mentioned project tasks included some interesting questions we needed to find answers to, thus we decided to re-engineer the data to properly formulate answers.
- https://www.kaggle.com/devisangeetha/nobel-prize-winners-story - Inspired on how well and organized that research was and the outcome that this research helped discovering.
- https://www.nobelprize.org/prizes/facts/nobel-prize-facts/ - Website contains a large bulk of Nobel Prize winners facts including both interesting and shocking events in the history.
For Further details please check the notebook.
- Aya Ibrahim
- Habiba El-Hussein
- Nada Hammouda
- Youssef Tarek