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Data Science Interview Challenge
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Data Science Interview Challenge

Data Science Interview Challenge

1. Python
IntroductionChallenge 1: List ComprehensionChallenge 2: String ManipulationChallenge 3: Dictionary ManipulationChallenge 4: Nested LoopsChallenge 5: ClassesTheoretical Questions
2. NumPy
Challenge 1: Array CreationChallenge 2: Array ManipulationChallenge 3: Statistical InsightsChallenge 4: Handling Missing ValuesChallenge 5: Subarray SortingTheoretical Questions
3. Pandas
Challenge 1: DataFrame CreationChallenge 2: Data GroupingChallenge 3: Indexing and MultiIndexingChallenge 4: Altering DataFrameChallenge 5: Iterating Over DataTheoretical Questions
4. Matplotlib
Challenge 1: Fundamentals of PlottingChallenge 2: Other Graph TypesChallenge 3: SubplotsChallenge 4: Customizing PlotsChallenge 5: Adding Text to PlotsTheoretical Questions
5. Seaborn
Challenge 1: Visualizing DistributionsChallenge 2: Exploring Categorical DataChallenge 3: Relational PlotsChallenge 4: Regression PlotsChallenge 5: Matrix PlotsTheoretical Questions
6. Statistics
Challenge 1: Probabilities and DistributionsChallenge 2: Bayes' TheoremChallenge 3: Hypothesis TestingChallenge 4: Confidence IntervalsChallenge 5: CorrelationTheoretical Questions
7. Scikit-learn
Challenge 1: Data ScalingChallenge 2: Basic Model CreationChallenge 3: PipelinesChallenge 4: Cross-validationChallenge 5: Hyperparameter TuningTheoretical Questions

book
Challenge 3: Subplots

With Matplotlib, not only can you create diverse and intricate visualizations, but you can also effectively organize and display multiple plots together using subplots and advanced layout management techniques. Grasping these techniques can offer multiple advantages:

  • Comparison: By visualizing multiple plots side by side, you can make quicker comparisons and observations.
  • Organization: Rather than having multiple separate figures, you can combine related visualizations into one cohesive figure.
  • Flexibility: Matplotlib allows for a high degree of customization when it comes to positioning and aligning subplots, ensuring your visualizations are both functional and aesthetically pleasing.

Mastering subplots and layout management is pivotal for conveying multi-faceted insights and constructing comprehensive visual narratives.

Note

Some subplots have been intentionally left empty.

Opgave

Swipe to start coding

Using Matplotlib, perform the following tasks related to subplots and layout management:

  1. Create a 2x2 grid of subplots.
  2. Plot a line graph on the top-left subplot.
  3. Plot a scatter plot on the bottom-right subplot.

Løsning

Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 4. Kapitel 3
toggle bottom row

book
Challenge 3: Subplots

With Matplotlib, not only can you create diverse and intricate visualizations, but you can also effectively organize and display multiple plots together using subplots and advanced layout management techniques. Grasping these techniques can offer multiple advantages:

  • Comparison: By visualizing multiple plots side by side, you can make quicker comparisons and observations.
  • Organization: Rather than having multiple separate figures, you can combine related visualizations into one cohesive figure.
  • Flexibility: Matplotlib allows for a high degree of customization when it comes to positioning and aligning subplots, ensuring your visualizations are both functional and aesthetically pleasing.

Mastering subplots and layout management is pivotal for conveying multi-faceted insights and constructing comprehensive visual narratives.

Note

Some subplots have been intentionally left empty.

Opgave

Swipe to start coding

Using Matplotlib, perform the following tasks related to subplots and layout management:

  1. Create a 2x2 grid of subplots.
  2. Plot a line graph on the top-left subplot.
  3. Plot a scatter plot on the bottom-right subplot.

Løsning

Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 4. Kapitel 3
Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
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