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You are required to use the dataset contained within the file “us-names-by-decade.csv”, which contains the following features:
Gender - Gender of Individual – (M) Male, (F)Female ·
Name – First Name of Individual ·
Decade – 10 Year Period – 1990 = 1990-1999 ·
Count – Number of Individuals that were given the name detailed in the Name feature in the decade indicated in the Decade feature, e.g., “F”, “Olivia”, ”2010”, “184355” = The number of Females named Olivia in the years 2010 -2019 was 184355
And then perform the following analysis:
You are then required to explain what you plan on doing with the data. E.g., Why did you choose the specific visualisations, etc.? This must be detailed in the Mark-up of the Jupyter Notebook and include the rationale for your choice.
Generate a plot that details the top 5 number of Names for each of the Decades.
Plot a graph depicting the distribution of names greater than 100,000, and that is, females in the decade 1980.
Find out and visualise which decade had the MOST names.
Observe and visualise the average number of names per decade.
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