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Day-17: Complete EDA on Google PlayStore Apps
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Day-25: Quiz Time, Data Visualization-4
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Day-27: Data Scaling/Normalization/standardization and Encoding
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Day-30: NumPy (Part-3)
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Day-31: NumPy (Part-4)
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Day-32a: NumPy (Part-5)
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Day-32b: Data Preprocessing / Data Wrangling
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Day-37: Algebra in Data Science
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Day-56: Statistics for Data Science (Part-5)
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Day-69: Machine Learning (Part-3)
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Day-75: Machine Learning (Part-9)
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Day-81: Machine Learning (Part-15)-Evaluation Metrics
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Day-82: Machine Learning (Part-16)-Metrics for Classification
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Day-85: Machine Learning (Part-19)
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Day-89: Machine Learning (Part-23)
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Day-91: Machine Learning (Part-25)
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Day-93: Machine Learning (Part-27)
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Day-117: Deep Learning (Part-14)-Complete CNN Project
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Day-119: Deep Learning (Part-16)-Natural Language Processing (NLP)
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Day-121: Time Series Analysis (Part-1)
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Day-123: Time Series Analysis (Part-3)
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Day-128: Time Series Analysis (Part-8): Complete Project
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Day-129: git & GitHub Crash Course
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Day-131: Improving Machine/Deep Learning Model’s Performance
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Day-133: Transfer Learning and Pre-trained Models (Part-2)
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Day-134 Transfer Learning and Pre-trained Models (Part-3)
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Day-137: Generative AI (Part-3)
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Day-139: Generative AI (Part-5)-Tensorboard
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Day-145: Streamlit for webapp development and deployment (Part-1)
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Day-146: Streamlit for webapp development and deployment (Part-2)
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Day-147: Streamlit for webapp development and deployment (Part-3)
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Day-148: Streamlit for webapp development and deployment (Part-4)
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Day-149: Streamlit for webapp development and deployment (Part-5)
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Day-150: Streamlit for webapp development and deployment (Part-6)
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Day-151: Streamlit for webapp development and deployment (Part-7)
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Day-152: Streamlit for webapp development and deployment (Part-8)
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Day-153: Streamlit for webapp development and deployment (Part-9)
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Day-154: Streamlit for webapp development and deployment (Part-10)
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Day-155: Streamlit for webapp development and deployment (Part-11)
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Day-156: Streamlit for webapp development and deployment (Part-12)
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Day-157: Streamlit for webapp development and deployment (Part-13)
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How to Earn using Data Science and AI skills
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Day-160: Flask for web app development (Part-3)
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Day-161: Flask for web app development (Part-4)
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Day-162: Flask for web app development (Part-5)
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Day-163: Flask for web app development (Part-6)
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Day-164: Flask for web app development (Part-7)
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Day-165: Flask for web app deployment (Part-8)
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Day-167: FastAPI (Part-2)
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Day-168: FastAPI (Part-3)
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Day-169: FastAPI (Part-4)
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Day-170: FastAPI (Part-5)
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Day-171: FastAPI (Part-6)
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Day-174: FastAPI (Part-9)
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Six months of AI and Data Science Mentorship Program
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Created by Dr. Aammar Tufail
Data Visualization Quiz

Data Visualization Quiz

This quiz will test your knowledge of key concepts in data visualization and data science. You will be asked questions about visualization best practices, different chart types, and commonly used Python libraries like Matplotlib, Seaborn and Plotly.

The number of attempts remaining is 5

1 / 30

Which layout attribute sets grid line properties?

2 / 30

Which parameter sets the linewidth in Matplotlib?

3 / 30

How do you save a Plotly figure as HTML?

4 / 30

Which function is used to create a scatter plot in Plotly?

5 / 30

Which function in matplotlib is used to create a scatter plot?

6 / 30

What type of visualization shows relationships between data clusters?

7 / 30

Which seaborn function is used to draw a bar plot?

8 / 30

What is facetting in data visualization?

9 / 30

What is the purpose of a boxplot in data visualization?

10 / 30

Which seaborn function is used to draw a boxplot?

11 / 30

What library is used in Python for interactive web-based data visualization?

12 / 30

What type of chart is best for comparing groups?

13 / 30

Which keyword argument controls marker size in Plotly scatter plots?

14 / 30

What is the primary purpose of data visualization?

15 / 30

What type of plot is used for visualizing relationships between two continuous variables?

16 / 30

What type of chart is best for showing data trends over time?

17 / 30

How do you set the color of bars in a seaborn barplot?

18 / 30

What is whitespace (white space) in data visualization?

19 / 30

What is the purpose of a heatmap in data visualization?

20 / 30

Which function in matplotlib is used to create a new figure?

21 / 30

How do you set the title of a plot in matplotlib?

22 / 30

Which method exports a Plotly figure to an image file?

23 / 30

What is overplotting in data visualization?

24 / 30

How do you display a Plotly figure inline in a Jupyter notebook?

25 / 30

Which Plotly method updates and renders a figure on the screen?

26 / 30

How do you set the size of a figure in matplotlib?

27 / 30

How would you save a plot as an image file in matplotlib?

28 / 30

How do you change the fontsize of labels in Matplotlib?

29 / 30

Which library in Python is primarily used for plotting data?

30 / 30

Which function is used to add subplots in Matplotlib?

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Data Visualization Quiz

Data Visualization Quiz

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