5. 6 with open( 'billionaires.csv', 'r') as text_file : text_list = csv.reader(text_file) 8. 9. billionaire_name_list = [] 10 11 for item in text list : billionaire_name_list.append(item[8]) 12 13 14 billionaire_name_list.pop(0) print(billionare_name_list) 15 16 17 18 wealth_in_billions = [] 19 for item in billionaire_name_list : wealth_in_billions.append(item) 20 21 22 23 new_wealth list = [] 24 for item in wealth_in billions: new wealth_1ist.append(float(item)) 25 26 27 28 print(new_wealth_list) 29 30 plt.figure(figsize=(12,25)) 31 32 my_graph = sns.barplot(x-new_wealth_list, y-billionaire_name_list, orient='h') 33 plt.boxplot(new_wealth list) med = statistics.median(new_wealth_list) print("median billionaire wealth is", med) 34 35 36

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Multiple Table

In a database, a table is used to store data in the form of rows and columns. Rows are aligned horizontally and identified by one or more values in a specific column. Columns are vertically aligned and identified by a unique column name.