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Data Visualization using Statistical Graphs

ICSE · Class 11 · Artificial Intelligence

Complete topic list for Data Visualization using Statistical Graphs in ICSE Class 11 Artificial Intelligence. Key concepts, sub-topics, and what to focus on for board exams.

65 questions36 flashcards5 concepts

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4 Topics · ICSE Class 11 Artificial Intelligence

Topics in Data Visualization using Statistical Graphs

1

Graphs and Axes

  • A graph is a pictorial representation or a diagram that represents data or values in an organized manner.
  • Graphs show the relationship between two or more things using points, lines, or curves.
  • Graphs have two axes: the horizontal X-axis and the vertical Y-axis.
2

Types of Graphs

  • Bar graphs present categorical data using rectangular bars.
  • The height or length of each bar is proportional to the value it represents.
  • Bars in a bar chart can be vertical or horizontal.
3

Dimensionality of Data

  • Dimensionality is the number of columns of data, which are the attributes of the data.
  • A dataset with n observations and m columns is m-dimensional.
  • The number of dimensions can change without forcing a change in another dimension.
4

Dimensionality Reduction Techniques and High-Dimensional Visualizations

  • Principal Component Analysis reduces the dimensionality of data by finding principal components that capture the most variance.
  • PCA can reduce data for visualizing it in 2D or 3D.
  • t-SNE is a non-linear dimensionality reduction technique.

Key Concepts

Central concept: Data visualization is the graphical representation of information and data

GraphBar GraphHistogramScatter PlotPie ChartDimensionality of DataDimensionality ReductionPCA

Frequently Asked Questions

What are the important topics in Data Visualization using Statistical Graphs for ICSE Class 11 Artificial Intelligence?
Data Visualization using Statistical Graphs covers several key topics that are frequently asked in ICSE Class 11 board exams. Focus on the core concepts listed on this page and practise related questions to build confidence.
How to score full marks in Data Visualization using Statistical Graphs — ICSE Class 11 Artificial Intelligence?
Understand the core concepts first, then work through the 65 practice questions available for this chapter. Revise formulas and definitions regularly, and use flashcards for quick recall before the exam.

Sources & Official References

Content is aligned to the official syllabus. Refer to the board website for the latest curriculum.

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