Many people believe that age and nationality play a large role in financial sucess, for people from more economically developed countries have the necessary resources in order to thrive. Furthermore, older people have the necessary wisdom and experience to create generational wealth. However, this may be a misconception. Sure it plays a role in one's future, however this data will allow us to explore to what extent age and nationality play in generational wealth and whether these individuals earned their money or inherited.
import pandas as pd
data = pd.read_csv("Billionares.csv", encoding = "latin1")
print(data)
Year Yearly ranking Name \
0 2022 1 Elon Musk
1 2022 2 Jeff Bezos
2 2022 3 Bernard Arnault & family
3 2022 4 Bill Gates
4 2022 5 Warren Buffett
.. ... ... ...
357 1987 6 Hans and Gad Rausing
358 1987 7 Paul Reichmann
359 1987 8 Yohachiro Iwasaki [ja]
360 1987 9 Kenneth Thomson
361 1987 10 Keizo Saji
Net worth (USD)\n(billion) Age Nationality Source(s) of wealth
0 $219 billion 50 United States Tesla, SpaceX
1 $177 billion 58 United States Amazon
2 $158 billion 73 France LVMH
3 $129 billion 66 United States Microsoft
4 $118 billion 91 United States Berkshire Hathaway
.. ... .. ... ...
357 $6.0 billion / Sweden /
358 $6.0 billion / Canada /
359 $5.6 billion / Japan /
360 $5.4 billion / Canada /
361 $4.0 billion / Japan /
[362 rows x 7 columns]
The data above includes information on the net worth of billionaires across the world from different years.
Year: Thea year of the rankings Yearly ranking: Where they ranked amongst other billionares Net worth (USD) (billion): Their estimated net worth in billions of U.S. dollars. Age: The age of the billionaire at the time their net worth was measured. Nationality: The nationality of the billionaire. Source(s) of wealth: The source(s) of the billionaire's wealth - whether it came from investments, business ownership, or inheritance.
Every billionare will be sorted so that they are only accounted for once, however, the code will keep track of how many times they were on the list and from what years. Next the highest networth of each indicidual will be tracked and what year they achieved this network. This allows for us to account for billionares who may have lost money or inherted all of thier network and havent invested appropriately. Next, every billionare will be sorted by nationality and their their youngest age, oldest age, and source of wealth will be noted. This data will then be plotted - Age vs networth, nationality vs source of income, nuber of billionares per nation, and a barplot of average networth vs nationality will be plotted