All our Data Science projects include bite-sized activities to test your knowledge and practice in an environment with constant feedback.
All our activities include solutions with explanations on how they work and why we chose them.
Using the calculated prizes_per_year series, create a line chart to visualize how the number of Nobel Prizes awarded has evolved over time, using the following parameters:
figure size : 10 by 6
Color : blue
linestyle : -
Marker : o
Title : Evolution of Nobel Prizes Awarded Per Year
xlabel : Year
ylabel : Number of Nobel Prizes Awarded
Don't forget to add a grid to your plot for better readability before you display it.
Use the pre-calculated DataFrame prizes_per_category to plot separate lines depicting each category, using the following details :
figure size : 10 by 6
linestyle : -
Use the Category as the label
Title : Evolution of Nobel Prizes Awarded by Category
xlabel : Year
ylabel : Number of Nobel Prizes Awarded
legend title : Category Dont forget to add a grid before displaying the plot.
Using the pre-calculated DataFrame laureates_by_decade_gender, generate a visual representation through a stacked bar chart with the specified parameters. Set the figure size to be 10 by 6 inches and keep the bar width at 1.5. Labels should reflect Male and Female, with the title reading Distribution of Male vs. Female Nobel Laureates by Decade. Both x and y labels should respectively be Decade and Number of Nobel Laureates, and the legend should read Gender. For colors, use blue for male and pink for female on the bars.
Use the pre-calculated series ny_laureates_per_year to create a line chart showing how the number of laureates born in New York changes over time using the following parameters :
figure size : 10 by 6
marker : o
color : green
linestyle : -
Title : Number of Nobel Laureates Born in New York Over Time
xlabel : Year
ylabel :Number of Nobel Laureates Born in New York
In this activity, your task is to create a visualization of how the number of Nobel Prizes won by various countries has changed over the decades.
Task Instructions:
Use a for loop to iterate over the DataFrame laureates_by_decade_country, which has already been calculated.
Plot each country as a separate line on the chart.
Parameters for the plot should be: - Figure size: 10 by 6
Country as label
Marker: o
Title: "Nobel Prizes Won by Country Over the Decades"
xlabel: "Decade"
ylabel: "Number of Nobel Prizes Won"
Set the legend title to "Country", select the location to "center left", and bbox_to_anchor to (1, 0.5).
Lastly, add a grid and adjust the plot's layout by using (0, 0, 0.85, 1) to ensure proper resizing and leaving enough space for the legend on the far right.
Use the series harvard_laureates_per_year to create a line chart using the following specifications:
Figure size : 10 by 6
Marker : o
Linestyle : -
Color : green
Title : Nobel Laureates Affiliated with Harvard Over the Years
xlabel : Year
ylabel : Number of Laureates
Using the previously made series, avg_age_by_year, which calculates the average age per laureate at the time of their Nobel Prize win, create a line plot, with the parameters set as follows:
figure size : 10 by 6
marker : o
Linestyle : -
Color : blue
Title : Average Age of Nobel Laureates at Time of Winning (by Year)
xlabel : Year
ylabel : Average Age at Winning
Finally, add a grid and display the plot.
Use the calculated series percentage_shared_prizes to plot the percentage of shared prizes over time using the following parameters :
figure size : 10 by 6
marker : o
Linestyle : -
Color : purple
Title : Percentage of Nobel Prizes Shared by Multiple Winners Over Time
xlabel : Year
ylabel : Percentage of Shared Prizes
Finally, add a grid and display the plot.
Plot the average word count over the years using the calculated series avg_word_count_by_year, using the following parameters :
figure size : 10 by 6
marker : v
Linestyle : -
Color : orange
Title : Evolution of Nobel Prize Motivation Length Over Time
xlabel : Year
ylabel : Average Word Count of Motivation
Finally, add gridlines and display the plot.
Use the calculated series city_counts to plot this information.
figure size : 10 by 6
Color : skyblue
Title : Top Cities Producing the Most Nobel Laureates
xlabel : City
ylabel :Number of Nobel Laureates
Add a 45-degree rotation to the labels on the x-axis for better visibility. Once all the details are in place, use .tight_layout to display the plot.
Refer to the column lifespan you have calculated earlier. Use this data to draw a histogram representing the lifespans of Nobel Prize winners. The settings for your plot parameters should be as follows:
Set the figure size to 10x6.
Use 10 bins for the histogram.
The edgecolor should be black.
Use skyblue as the color for your histogram bars.
Title your graph as Distribution of Nobel Laureates' Lifespans.
Label the x-axis as Lifespan (Years).
Label the y-axis as Number of Nobel Laureates.
Once complete, use .tight_layout and display your final output.
Plot the evolution of Female Nobel Prize winners from the provided series female_trend. Use the specifications below for the line chart:
figure size : 10 by 6
marker : o
Color : purple
Title : Trend of Female Nobel Laureates Over Time
xlabel : Year
ylabel : Number of Female Laureates
Once complete, use .tight_layout and display your final output.
Hey there, I'm Ade. Think of me as a data detective on a mission to uncover the secrets hidden in numbers. I love the feeling of uncovering hidden stories within data. It's like being a detective, but with spreadsheets and algorithms.I'm on a mission
