asking-questions

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1AyaNabil1 / The-Nobel-Prize
This notebook analyzes Nobel Prize data from 1901 to 2016, exploring factors such as gender, nationality, age, and repeat laureates. It examines trends and patterns, revealing insights about the Nobel Prize's evolution over time, including the dominance of the United States and the representation of women in different prize categories.
asking-questions data-visualization datacamp datacamp-projects dataexploration decision-making insights nobel-award nobel-laureates nobel-prize python
Language:Jupyter Notebook 2
pmb-7684 / Google-Data-Analytics-Professional-Certificate
Learning materials, assignments, and helpful resources for professional certification. Completed October 2022
case-study data-aggregation data-analysis data-cleansing data-collection data-ethics data-integrity data-visualization decision-making metadata problem-solving r-markdown r-programming r-studio sample-size-determination sql asking-questions data-calculations tableau-software bigquery

1AyaNabil1 / The-Nobel-Prize