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This billionaire dataset is a publicly available dataset provided by the university, there are also different variations of this dataset. It is a csv file named “billionaires.csv” of 475kB file size. This dataset is designed to know the distribution of billionaire in countries, gender, industries, source of wealth etc.

Statistical analysis was used to analyse and interpret and resolve this Questions. Graphical and numerical visualizations will use descriptive statistics. Histogram, pie and bar chart will be used to describe quantitative and qualitative data respectively. Hypothesis testing will be done for statistical significance testing with T-test or Chi-square test or ANOVA test depending on the research question. Boxplot, Scatterplot, Correlation matrix, Probability-plot and Kernel Density Plot will also be used for descriptive analysis. The technologies that will be used for analysis and visualization are Google Collab and Python.

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