Challenge: Client Industry Breakdown
To better understand which industries most of your freelance projects come from, you can use Python and the seaborn library to create a visually appealing bar plot. This kind of analysis helps you spot trends, identify your strongest client sectors, and potentially target new clients more effectively. Your task is to create a script that displays the number of projects you have completed for each client industry, using hardcoded data.
Start by preparing your data as two lists: one for the industry names and another for the corresponding project counts. Next, you will use seaborn to generate a bar plot. Make sure to customize the colors and add clear axis labels and a descriptive title so that your chart is both informative and attractive.
123456789101112131415161718192021import seaborn as sns import matplotlib.pyplot as plt # Hardcoded data for industries and project counts industries = ["Tech", "Healthcare", "Finance", "Education", "Retail", "Media"] project_counts = [15, 7, 12, 9, 5, 8] # Set a custom color palette custom_palette = sns.color_palette("pastel") # Create the bar plot sns.barplot(x=industries, y=project_counts, palette=custom_palette) # Add labels and title plt.xlabel("Client Industry") plt.ylabel("Number of Projects") plt.title("Freelance Projects by Client Industry") # Show the plot plt.tight_layout() plt.show()
This script uses the seaborn library's barplot function to visualize your freelance work distribution by industry. The custom_palette variable makes the plot more visually appealing by applying soft, pastel colors. The axis labels and title ensure that anyone viewing the chart can quickly understand what the data represents. By running this script, you will gain a clear, colorful overview of which industries are most prominent in your freelance portfolio.
Swipe to start coding
Create a Python script that visualizes the number of freelance projects you have completed for each client industry using the seaborn library. Follow these steps:
- Use the provided hardcoded lists
defined_industriesanddefined_project_countsfor your data. - Set a custom color palette using
seaborn. - Generate a bar plot showing the number of projects for each industry.
- Add clear axis labels and a descriptive title to your plot.
- Ensure the plot is both visually appealing and informative by customizing the colors and layout.
- Display the plot so it is visible when the script runs.
Oplossing
Bedankt voor je feedback!
single
Vraag AI
Vraag AI
Vraag wat u wilt of probeer een van de voorgestelde vragen om onze chat te starten.
Can you explain how to interpret the resulting bar plot?
What other types of visualizations could I use for this data?
How can I update the data if I get more projects in the future?
Geweldig!
Completion tarief verbeterd naar 5Challenge: Client Industry Breakdown
Veeg om het menu te tonen
To better understand which industries most of your freelance projects come from, you can use Python and the seaborn library to create a visually appealing bar plot. This kind of analysis helps you spot trends, identify your strongest client sectors, and potentially target new clients more effectively. Your task is to create a script that displays the number of projects you have completed for each client industry, using hardcoded data.
Start by preparing your data as two lists: one for the industry names and another for the corresponding project counts. Next, you will use seaborn to generate a bar plot. Make sure to customize the colors and add clear axis labels and a descriptive title so that your chart is both informative and attractive.
123456789101112131415161718192021import seaborn as sns import matplotlib.pyplot as plt # Hardcoded data for industries and project counts industries = ["Tech", "Healthcare", "Finance", "Education", "Retail", "Media"] project_counts = [15, 7, 12, 9, 5, 8] # Set a custom color palette custom_palette = sns.color_palette("pastel") # Create the bar plot sns.barplot(x=industries, y=project_counts, palette=custom_palette) # Add labels and title plt.xlabel("Client Industry") plt.ylabel("Number of Projects") plt.title("Freelance Projects by Client Industry") # Show the plot plt.tight_layout() plt.show()
This script uses the seaborn library's barplot function to visualize your freelance work distribution by industry. The custom_palette variable makes the plot more visually appealing by applying soft, pastel colors. The axis labels and title ensure that anyone viewing the chart can quickly understand what the data represents. By running this script, you will gain a clear, colorful overview of which industries are most prominent in your freelance portfolio.
Swipe to start coding
Create a Python script that visualizes the number of freelance projects you have completed for each client industry using the seaborn library. Follow these steps:
- Use the provided hardcoded lists
defined_industriesanddefined_project_countsfor your data. - Set a custom color palette using
seaborn. - Generate a bar plot showing the number of projects for each industry.
- Add clear axis labels and a descriptive title to your plot.
- Ensure the plot is both visually appealing and informative by customizing the colors and layout.
- Display the plot so it is visible when the script runs.
Oplossing
Schakel over naar desktop voor praktijkervaringGa verder vanaf waar je bent met een van de onderstaande optiesBedankt voor je feedback!
single
