Table Graph (Part 1)

Duration: 25 min

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Inside: a video lesson and guided study material.

Module outline

  1. Paper - 1 | Unit - 1 | Teaching Aptitude: Concept and Objectives of Teaching / शिक्षण की अवधारणा एवं उद्देश्य, Levels of Teaching / शिक्षण के स्तर, Learner's Characteristics / शिक्षार्थी की विशेषताएँ, Learning: Nature and Theories / अधिगम: प्रकृति एवं सिद्धांत, Cognition, Memory and Metacognition / संज्ञान, स्मृति एवं अधिसंज्ञान, Factors Affecting Teaching / शिक्षण को प्रभावित करने वाले कारक, Effective Teaching and the Teacher / प्रभावी शिक्षण एवं शिक्षक, Instructional Objectives and Lesson Planning / अनुदेशनात्मक उद्देश्य एवं पाठ नियोजन, Methods of Teaching / शिक्षण विधियाँ, Offline and Online Teaching Methods / ऑफ़लाइन एवं ऑनलाइन शिक्षण विधियाँ, Teaching Support System / शिक्षण सहायक प्रणाली, Evaluation Systems / मूल्यांकन प्रणाली, Biological Basis of Emotion / संवेग का जैविक आधार, Central and Peripheral Nervous Systems / केन्द्रीय और परिधीय तंत्रिका तंत्र
  2. Paper - 1 | Unit - 2 | Research Aptitude: Research: Meaning, Features and Scientific Method / अनुसंधान: अर्थ, लक्षण व वैज्ञानिक विधि, Research Paradigms and Approaches / अनुसंधान के प्रतिमान एवं उपागम, Types of Research / अनुसंधान के प्रकार, Variables and Measurement / चर एवं मापन, Methods of Research / अनुसंधान की विधियाँ, Steps of Research / अनुसंधान के चरण, Sampling / प्रतिचयन, Tools and Methods of Data Collection / आँकड़ा संग्रह के उपकरण एवं विधियाँ, Data Analysis and Statistics in Research / आँकड़ा विश्लेषण एवं शोध सांख्यिकी, Thesis and Article Writing / शोध-प्रबंध एवं लेख लेखन, Application of ICT in Research / अनुसंधान में ICT का अनुप्रयोग, Research Ethics / शोध नैतिकता
  3. Paper - 1 | Unit - 3 | Comprehension: Literal Comprehension, Vocabulary and Language in Context, Inferential Comprehension, Critical Comprehension, Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions)
  4. Paper - 1 | Unit - 4 | Communication: Communication: Meaning, Nature and Process / संचार: अर्थ, प्रकृति एवं प्रक्रिया, Types and Levels of Communication / संचार के प्रकार एवं स्तर, Verbal and Non-verbal Communication / मौखिक एवं अमौखिक संचार, Semiotics and Meaning / संकेत विज्ञान एवं अर्थ, Models and Theories of Communication / संचार के मॉडल एवं सिद्धांत, Effective Communication / प्रभावी संचार, Barriers to Communication / संचार की बाधाएँ, Classroom Communication / कक्षा संचार, Mass Media: Types and Evolution / जनसंचार माध्यम: प्रकार एवं विकास, Mass Media and Society / जनसंचार एवं समाज, Digital and New Media / डिजिटल एवं नव माध्यम, General Awareness (Legacy Paper 1) / सामान्य जागरूकता (पुराना पेपर 1)
  5. Paper - 1 | Unit - 5 | Mathematical Reasoning and Aptitude: Number System and Simplification / संख्या पद्धति एवं सरलीकरण, Algebra and Ages / बीजगणित एवं आयु, Percentage / प्रतिशतता, Ratio, Proportion, Partnership and Mixtures / अनुपात, समानुपात, साझेदारी एवं मिश्रण, Averages / औसत, Profit, Loss and Discount / लाभ, हानि एवं बट्टा, Simple and Compound Interest / साधारण एवं चक्रवृद्धि ब्याज, Time and Work / समय एवं कार्य, Speed, Time and Distance / चाल, समय एवं दूरी, Mensuration and Geometry / क्षेत्रमिति एवं ज्यामिति, Series / श्रेणी, Coding-Decoding / कूटलेखन-कूटवाचन, Relationships, Directions and Ranking / संबंध, दिशा एवं क्रम, Arrangements, Puzzles, Clock and Calendar / व्यवस्था, पहेलियाँ, घड़ी एवं कैलेंडर, Mathematical Foundations, जीवनी, Philosophy of the Constitution / संविधान का दर्शन, Analysis, Indian Polity and Governance (Legacy Unit 10) / भारतीय राजव्यवस्था और शासन (पुराना यूनिट 10)
  6. Paper - 1 | Unit - 6 | Logical Reasoning: Structure of Arguments / युक्ति की संरचना, Terms, Definitions and Uses of Language / पद, परिभाषा एवं भाषा के उपयोग, Categorical Propositions / निरुपाधिक प्रतिज्ञप्तियाँ, Categorical Syllogism / निरुपाधिक न्यायवाक्य, Venn Diagrams / वेन आरेख, Deduction, Induction and Analogy / निगमन, आगमन एवं सादृश्यता, Fallacies / तर्कदोष, Indian Logic: Pramanas / भारतीय तर्कशास्त्र: प्रमाण, Anumana and Vyapti / अनुमान एवं व्याप्ति, Hetvabhasa / हेत्वाभास, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Aristotle / अरस्तू, Western Schools of Philosophy / पाश्चात्य दर्शन की विचारधाराएँ, Kant / कांट, Sadhana Paada, Vaiśeṣika / वैशेषिक
  7. Paper - 1 | Unit - 7 | Data Interpretation: Data and Graphical Representation / आँकड़े एवं आलेखीय निरूपण, Data Interpretation: Tables / आँकड़ा निर्वचन: तालिका
  8. Paper - 1 | Unit - 8 | Information and Communication Technology: Computer Fundamentals and Hardware, Memory, Storage and Data Representation, Computer Software, Office Applications, Multimedia and File Formats, Computer Networks, Internet and World Wide Web, Email and Online Communication, Cyber Security, Digital Ethics, IPR and Society, Cloud and Distributed Computing, Emerging Technologies, ICT in Education and Governance, Cyber Threats and Malware Attacks, Role of Internet and Web Services, Electronic Data Interchange and E-Commerce, Internet Fundamentals, Web Design & Development, Web Publishing & Hosting, Emerging Technologies, Terms & Abbreviations, Society, Law & Ethics, Keyboard Shortcuts, Website, Browser & Services, Protection of Geographical Indications / भौगोलिक संकेतों का संरक्षण
  9. Paper - 1 | Unit - 9 | People Development and Environment: Ecosystems and Biodiversity / पारितंत्र और जैव विविधता, Human and Environment Interaction / मानव और पर्यावरण की अंतःक्रिया, Development and Environment / विकास और पर्यावरण, Natural Resources – Forests, Water and Soil / प्राकृतिक संसाधन: वन, जल और मृदा, Energy Resources / ऊर्जा संसाधन, Air Pollution / वायु प्रदूषण, Water Pollution and Treatment / जल प्रदूषण और उपचार, Noise Pollution / ध्वनि प्रदूषण, Waste Management / अपशिष्ट प्रबंधन, Environmental Health and Toxicology / पर्यावरणीय स्वास्थ्य और विषविज्ञान, Climate Change and Global Environmental Issues / जलवायु परिवर्तन और वैश्विक पर्यावरणीय समस्याएँ, Natural Hazards and Disaster Management / प्राकृतिक प्रकोप और आपदा प्रबंधन, Indian Environmental Laws and Policies / भारतीय पर्यावरण कानून और नीतियाँ, International Environmental Agreements / अंतर्राष्ट्रीय पर्यावरण समझौते, Environment / पर्यावरण, Geography / भूगोल, Factory and Industry Systems / कारखाना और उद्योग व्यवस्थाएँ, Earth Materials, Surface Features and Processes, Communicable Diseases and Immunization / संक्रामक रोग और प्रतिरक्षण
  10. Paper - 1 | Unit - 10 | Higher Education System: Education in Ancient India / प्राचीन भारत में शिक्षा, Ancient Centres of Higher Learning / प्राचीन भारत के उच्च शिक्षा केंद्र, Colonial Education Policies and Commissions / औपनिवेशिक काल की शिक्षा नीतियाँ और आयोग, Colonial Colleges, Universities and Reformers / औपनिवेशिक कॉलेज, विश्वविद्यालय व सुधारक, Education Commissions and Policies after Independence / स्वतंत्र भारत में शिक्षा आयोग और नीतियाँ, National Education Policy 2020 / राष्ट्रीय शिक्षा नीति 2020, Types of Higher Education Institutions / उच्च शिक्षा संस्थानों के प्रकार, Learning Programmes and Academic Credits / अधिगम कार्यक्रम और अकादमिक क्रेडिट, Professional, Technical and Skill-Based Education / व्यावसायिक, तकनीकी और कौशल आधारित शिक्षा, Value Education and Environmental Education / मूल्य शिक्षा और पर्यावरण शिक्षा, Governance, Administration and Financing / शासन, प्रशासन और वित्तपोषण, Regulation, Accreditation and Ranking / उच्च शिक्षा का नियमन, प्रत्यायन और रैंकिंग
  11. Paper 2 | Unit 1 | Discrete Structures and Optimization: Propositional and Predicate Logic, Set Theory, Relations, Functions, Permutation, Combination and Probability / क्रमचय, संचय एवं प्रायिकता, Graph Theory, Group Theory, Digital Systems & Boolean Basics, Boolean Expression, Boolean Minimization, Optimization, Markov Chains
  12. Paper 2 | Unit 2 | Computer System Architecture: Logic Gates & Hardware, Combinational Circuit, Sequential Circuits, Number System, Number Representation, Floating Point Rep, Basics of COA, Register Transfer and Microoperations, Programming the Basic Computer, Instr Formats & Modes, Control Unit Design, Pipelining, Input Output Organisation, Cache Memory Organization, Multiprocessors
  13. Paper 2 | Unit 3 | Programming Languages and Computer Graphics: Language Design, C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling, HTML Basics, XML, JavaScript-Basics, Java, Basics of Computer Graphics, 2-D Geometrical Transforms and Viewing, 3-D Object Representation, Geometric Transformations and Viewing, OOPS with C++, Java Fundamentals, Array, String, IO & References, OOPS with Java
  14. Paper 2 | Unit 4 | Database Management Systems: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, SQL, Relational Calculus, Transaction Management, Concurrency Control, Database Recovery, ORDBMS, Database Security & Authorization, Query Processing & Optimization, Enhanced Data Models, Data Warehousing & Mining, Big Data Systems, NoSQL
  15. Paper 2 | Unit 5 | System Software and Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management, Windows OS, Linux OS, Security, Distributed Systems, Virtual Machines
  16. Paper 2 | Unit 6 | Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  17. Paper 2 | Unit 7 | Data Structures and Algorithms: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Advanced Algorithms
  18. Paper 2 | Unit 8 | Theory of Computation and Compilers: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Moore & Mealy Machines, Pushdown Automata & CFG, Turing Machines, Complexity Theory, Intro to Compilers, Lexical Analysis, Grammar & CFG, Syntax Analysis: Top-Down, Syntax Analysis: Bottom-Up, Semantic Analysis & SDT, Intermediate Code Gen, Code Optimization, Run Time Environment
  19. Paper 2 | Unit 9 | Data Communication and Computer Networks: Introduction to CN, Data Communication, DLL: Access Control, DLL: Flow Control, DLL: Error Control, DLL: Framing, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Net Layer:Routing Protocol, Transport Layer Services, TL: Congestion & UDP, Application Layer, Hardware basics, Network Security, Cloud Computing, Mobile Computing
  20. Paper 2 | Unit 10 | Artificial Intelligence: Approaches to AI, Search Algorithms, Game Playing, Knowledge Representation, Planning, Multi Agent Systems, Fuzzy Sets, Natural Language Processing, Artificial Neural Networks, Genetic Algorithms
  21. Full Notes: Paper 1 Full Notes
  22. Paper 1 | Full Mock Tests:
  23. Paper 2 | Full Mock Tests:
  24. Paper 1 | Previous Year Papers:
  25. Paper 2 | Previous Year Papers:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This educational video features a lecture by Yash Jain Sir from Knowledge Gate Eduventures, focusing on Data Interpretation techniques for competitive exams. The session begins with an introduction to the topic, emphasizing the importance of practice through motivational slides. The core of the lecture revolves around solving four specific questions derived from a dataset titled '2019 Pre-Election Survey'. This dataset is presented in a tabular format containing data for various Indian states, including Andhra Pradesh, Assam, Bihar, and others. The table provides four key metrics: Number of Electorate, Number of Stations, Number of Candidates, and Number of seats available. The instructor systematically works through each question, demonstrating how to extract relevant data, perform necessary calculations, and apply approximation techniques to arrive at the correct answers efficiently. The problems cover a range of Data Interpretation concepts, including calculating averages, determining pie chart angles, analyzing percentage thresholds, and computing percentage changes in ratios over time.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video opens with a vibrant title card displaying 'DATA INTERPRETATION' in bold white letters against a purple background with abstract shapes. This transitions to a slide with a pink background featuring the word 'Questions' in large blue font, flanked by a rocket and a planet illustration. Below this, there are three distinct visual panels. The left panel shows the word 'Questions' in red 3D text surrounded by question marks. The middle panel contains a motivational quote in black text: 'DON'T PRACTICE UNTIL YOU GET IT RIGHT PRACTICE UNTIL YOU CAN'T GET IT WRONG'. The right panel shows a desk with glasses and sticky notes labeled '1. PRACTICE', '2. PRACTICE', '3. PRACTICE'. In the bottom right corner, the instructor, Yash Jain Sir, is visible, introducing the session. He sets the stage for the upcoming problems, emphasizing the need for rigorous practice to master these types of questions.

  2. 2:00 – 5:00 02:00-05:00

    The instructor introduces the primary data source for the session: a table titled '2019 Pre-Election Survey'. The table lists ten states in the first column: Andhra Pradesh, Assam, Bihar, Gujarat, Karnataka, Maharashtra, Orissa, Tripura, Chhattisgarh, and Jharkhani. The subsequent columns are labeled 'Number of Electorate', 'Number of Stations', 'Number of Candidates', and 'Number of seats available'. The instructor highlights the importance of reading the table carefully, circling specific column headers like 'Number of Stations' and 'Number of seats available' in red ink. He also writes '4 questions' on the right side of the screen, indicating the scope of the exercise. He points out specific rows, such as Andhra Pradesh and Jharkhani, to draw attention to the data values. The visual focus is on understanding the structure of the table and identifying the relevant columns needed to solve the upcoming problems.

  3. 5:00 – 10:00 05:00-10:00

    The first question appears on screen: 'Which state shows maximum number of average electorate per polling station?' The options provided are (A) Jharkhand, (B) Maharashtra, (C) Bihar, and (D) Orissa. The instructor explains that this requires calculating the ratio of 'Number of Electorate' to 'Number of Stations' for each of the four options. He begins by analyzing the data for Bihar, noting the values 15058548 and 15261. He approximates these to 150 and 152 to simplify the division. He performs similar approximations for Maharashtra (293/294), Orissa (129/137), and Jharkhand (78/77). By comparing these simplified ratios, he determines that Jharkhand has the highest value because its numerator is slightly larger than its denominator, whereas the others are slightly less than 1. He circles the answer (A) Jharkhand, confirming it as the correct choice based on the visual evidence of his calculations.

  4. 10:00 – 15:00 10:00-15:00

    The second question is presented: 'If we draw a pie chart for seats available in the given states, then Gujarat & Orissa together subtends and angle of ___ degrees at the center.' The options are (A) 96, (B) 100, (C) 104, (D) 108. The instructor first sums the 'Number of seats available' for Gujarat (26) and Orissa (11) to get a combined total of 37. He then calculates the total number of seats across all states, which he determines to be 133. Using the formula for pie chart angles, he sets up the calculation: (37 / 133) * 360. He approximates the fraction 37/133 to roughly 28% or 1/3.5. He then multiplies this percentage by 360 degrees. Through his handwritten calculations on the screen, he arrives at an approximate value of 100 degrees. He circles the option (B) 100, indicating it is the correct answer. The visual evidence includes the red circles around the seat numbers and the step-by-step arithmetic written in red ink.

  5. 15:00 – 20:00 15:00-20:00

    The third question introduces a new condition: 'If number of seats available per candidates are more than 13%, then the state is called proper state. How many states given in the chart are not proper states?' The options are (A) 4, (B) 6, (C) 5, (D) 3. The instructor proceeds to calculate the percentage of seats per candidate for each state by dividing the 'Number of seats available' by the 'Number of Candidates'. He marks states as 'proper' with a checkmark and 'not proper' with a cross if the percentage is less than or equal to 13%. He calculates values like 6/48 (12.5%) for Assam, marking it as not proper. He continues this process for Bihar, Maharashtra, and others. He counts the number of states marked with a cross. The visual evidence shows a column of checkmarks and crosses next to the data, and he circles the final count of non-proper states to select the correct option.

  6. 20:00 – 24:37 20:00-24:37

    The final question involves a hypothetical scenario: 'In Andhra and Karnataka, if the number of Polling stations are increased by 15% & 16% respectively with respect to 2017 Election, while the number of seats remained the same then for these seats combined, what is the percentage change in the number of polling stations per seat in year 2019 with respect to that in year 2017?' The instructor sets up a comparison between 2017 and 2019 data. He notes the 2019 station counts (29614 for Andhra, 22999 for Karnataka) and the seat counts (21 and 15). He works backward to find the 2017 station counts by reversing the percentage increases. He then calculates the 'stations per seat' ratio for both years. Finally, he computes the percentage change between the 2017 ratio and the 2019 ratio. The screen shows complex handwritten calculations involving fractions and percentages, leading to the final answer. The instructor concludes the session with a 'THANKS FOR WATCHING' slide.

The video provides a comprehensive walkthrough of Data Interpretation problems, moving from basic ratio comparisons to more complex percentage change calculations. The instructor emphasizes approximation techniques to save time, a crucial skill for competitive exams. By visually demonstrating each step with handwritten notes and highlighting key data points, the lecture reinforces the method of breaking down complex problems into manageable parts. The progression from simple averages to pie chart angles and finally to percentage changes in ratios offers a structured approach to mastering this topic.

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