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PYQs - (Data Visualisation and Hadoop)

  1. What is data visualization? What are the different methods of data visualization explain in detail.
  2. Explain in the detail the Hadoop Ecosystem with suitable diagram.Explain in the detail the Hadoop Ecosystem with suitable diagram.The Hadoop Ecosystem is a comprehensive suite of tools and technologies designed to facilitate the processing, storage, and analysis of big data. At its core, Hadoop is an open-source framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. Here's an in-depth explanation of the key components of the Hadoop Ecosystem, supported by a detailed diagram. Key Components of the Hadoop Ecosystem 1. Hadoop Distributed File Sys
  3. Describe the Data visualization tool "Tableau". Explain its applications in brief.Describe the Data visualization tool "Tableau". Explain its applications in brief.Tableau: An Expert Overview Introduction to Tableau Tableau is a powerful and widely-used data visualization tool that helps in transforming raw data into an understandable format through visualizations. Developed by Tableau Software, it is designed to make data more accessible, interactive, and insightful through a user-friendly interface that requires minimal programming skills. The tool is known for its robust capabilities in handling large datasets and creating dynamic, interactive visuali
  4. With a suitable example explain and draw a Box plot and explain its usages.With a suitable example explain and draw a Box plot and explain its usages.Certainly! Let's delve into the concept of a Box Plot, also known as a Box-and-Whisker Plot, and understand its usages with a suitable example. What is a Box Plot? A Box Plot is a standardized way of displaying the distribution of data based on a five-number summary: minimum, first quartile (Q1), median (Q2), third quartile (Q3), and maximum. It helps to visually depict the central tendency, dispersion, and skewness of the data. Components of a Box Plot 1. Minimum: The smallest data point ex
  5. With a suitable example explain Histogram and explain its usages.With a suitable example explain Histogram and explain its usages.Certainly! Histograms are a fundamental tool in data science for understanding the distribution of a dataset. Let's delve into what histograms are, their construction, and their usages with a suitable example. What is a Histogram? A histogram is a graphical representation of the distribution of numerical data. It is an estimate of the probability distribution of a continuous variable. Unlike a bar chart, which represents categorical data, a histogram groups continuous data points into ranges (