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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

What is whitespace (white space) in data visualization?

2 / 30

How do you change the number of bins in a Matplotlib histogram?

3 / 30

Which attribute sets the font properties in Plotly layout?

4 / 30

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

5 / 30

What type of object is returned when a Plotly figure is created?

6 / 30

Which attribute sets axis line properties in Plotly layout?

7 / 30

Which function in seaborn is used to draw a pair plot?

8 / 30

What is a pivot table in data visualization?

9 / 30

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

10 / 30

Which function is used to create a histogram in Matplotlib?

11 / 30

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

12 / 30

What seaborn function is used to draw a point plot?

13 / 30

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

14 / 30

Which Plotly class is used to create bar charts?

15 / 30

Which parameter sets the linewidth in Matplotlib?

16 / 30

Which layout attribute sets the y-axis title?

17 / 30

Which method exports a Plotly figure to an image file?

18 / 30

How do you add a legend to a Plotly figure?

19 / 30

What principle states that graphs should maximizeink ratio (data-to-ink ratio)?

20 / 30

Which seaborn function is used to draw a boxplot?

21 / 30

Which parameter controls the legend location in matplotlib?

22 / 30

Which function is used to add subplots in Matplotlib?

23 / 30

Which color palette is used by default in seaborn plots?

24 / 30

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

25 / 30

Which function in pandas is used to plot data directly from a DataFrame?

26 / 30

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

27 / 30

What type of visualization shows relationships between data clusters?

28 / 30

What type of chart is best for showing proportions within a whole?

29 / 30

What is the purpose of a boxplot in data visualization?

30 / 30

How do you change the fontsize of labels in Matplotlib?

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    About Lesson

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    After attempting this quiz you will receive a certificate after a threshold of high score, save that and also write down your score in the comment section.

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    Data Visualization Quiz

    Data Visualization Quiz

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