The document discusses data visualization and analytics. It defines data visualization as the graphical representation of information and data using visual elements like charts and graphs. This provides an accessible way to see trends, outliers, and patterns in data. Data visualization sits at the intersection of analysis and visual storytelling, helping make data understandable and informing decisions. The document also covers types of visualizations, examples, tools for data visualization like Tableau and Excel, and factors to consider when choosing analytics tools.
The document discusses several quality tools and techniques used for data collection and analysis, including check sheets, histograms, Pareto charts, scatter plots, flowcharts, cause and effect diagrams, control charts, and several new management and planning tools such as affinity diagrams, interrelationship digraphs, process decision program charts, tree diagrams, matrix diagrams, activity network diagrams, and prioritization matrices. These tools help visualize problems, identify causes and relationships, plan processes, and make better decisions.
A flowchart is a pictorial representation of an algorithm or process. It uses standard symbols to visually depict the steps of a process and the flow of data between those steps. Flowcharts help clarify processes, communicate logic, aid in effective analysis and problem solving, and serve as documentation for programs. While they make logic clear, flowcharts can become complex and costly for large programs, and difficult to modify or keep updated.
The document provides information on quality control tools, specifically focusing on seven basic tools: check sheet, flow chart, run chart, histogram, Pareto chart, control charts, and scatter diagram. It defines each tool, provides examples of how to construct them using sample data, and explains how to interpret the results. The check sheet, flow chart, histogram and Pareto chart are explained in the most detail, with steps provided on how to create each from raw data through to the final output.
Quality control methods and important parameters forming these methods.Quality control is important concept in quality management. Quality management is an approach used in industry to manage operations and producing best quality products with minimum producer cost.
This document discusses various modeling techniques used in structured systems analysis, including:
1) Data flow diagrams and system flowcharts are used to model system functions and data flows.
2) Entity-relationship diagrams and data dictionaries are used to model stored data and define data elements.
3) The purpose of these modeling techniques is to provide precise, understandable definitions of the system to both users and developers.
ppt on flow chart by harshid panchal with help of Sejal ma'm (git.org.in)harshid panchal
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this is the simple power point presentation on flowchart
made by me harshid panchal with the help of my fav. ma'm sejal bhavsar . and we are from gandhinagar institute of technology(git.org.in)
if u have any query then contact me on harshidpanchalhp@gmail.com or you can also contact my ma'm on sejal.bhavsar@git.org.in
Prepare and Interpret Technical Drawing.pptxRivenBarquilla
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The document provides information on preparing and interpreting technical drawings. It discusses basic symbols used in flow charting such as terminators, inputs/outputs, processes, decisions, and arrows. It also covers selecting the appropriate type of technical drawing according to job requirements, such as basic, cross-functional, and data flow diagrams. Finally, it outlines steps for interpreting symbols in a flow chart, such as examining each step and decision point to identify bottlenecks and rework loops.
Analytical tools for textile plant layout.pptxBewuket Teshome
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This document provides an overview of systematic layout planning procedures and tools. It discusses information gathering, flow and activity analysis, space requirements determination, developing alternative layouts, and evaluating alternatives based on important weighted factors. The goal is to analyze relationships between departments and optimize a layout based on material flow, space needs, and other operational considerations.
The document discusses various quality management tools and techniques, including the seven traditional quality tools, Six Sigma methodology, and new management tools. It provides details on each tool, including definitions, examples, and uses. The seven traditional quality tools described are flow chart, check sheet, cause and effect diagram, Pareto chart, control chart, histogram, and scatter diagram. Six Sigma follows the DMAIC methodology of define, measure, analyze, improve, and control. The seven new management tools discussed are affinity diagram, interrelations diagram, tree diagram, matrix diagram, arrow diagram, and process decision program chart.
The document summarizes the key components of TOGAF (The Open Group Architecture Framework), including architectural elements, artifacts, building blocks, and deliverables. It describes the TOGAF metamodel and how it represents elements and relationships. It also discusses viewpoints, views, catalogs, matrices and diagrams used to communicate architecture. Finally, it lists example deliverables produced in each phase of the TOGAF Architecture Development Method.
TQM-Unit 3-7-1 tools of quality-New.pptxTamilselvan S
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This document provides an overview of various quality management tools and techniques, including the seven traditional tools of quality (flow charts, check sheets, histograms, Pareto diagrams, cause-and-effect diagrams, scatter diagrams, and control charts). It describes the purpose, construction, and relationship to the PDCA cycle for each tool. Additionally, it covers concepts of Six Sigma methodology, benchmarking, and failure mode and effects analysis (FMEA).
Std 10 Computer Chapter 5 Introduction to CalcNuzhat Memon
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Std 10 Computer Chapter 5 Introduction to Calc by Nuzhat Memon
Calc
Spreadsheet
LibreOffice
Worksheet
Applications of spreadsheet packages
Getting started with Calc
Rows and columns and cells in spreadsheet
Title bar in Calc
Menu bar or pull down menu in Calc
Toolbar in Calc
Components of spreadsheet
ods file format
Practical Exercise : Sum, Product, Grand Total, Tax Calculation
starteamcalc (Displaying photograph of developer team)
The document defines and describes several types of charts used for data visualization:
- A Pareto chart prioritizes factors according to their impact and follows the 80/20 principle, indicating that 80% of problems stem from 20% of causes. It focuses on the most frequent problems.
- A histogram shows the frequency distribution of continuous data and allows visualization of a data set's shape, center, and variability.
- A Gantt chart visually represents task start times, durations, and overlaps to simplify complex projects and monitor their progress.
- A pie chart represents data proportions visually and is effective for comparing categories to totals when there are 5 or fewer segments.
- A bar chart displays categorical or numeric data by
The document discusses the seven quality control tools introduced by Dr. Kaoru Ishikawa for problem solving and process improvement. It describes each of the seven tools - check sheets, flowcharts, histograms, Pareto charts, cause-and-effect diagrams, scatter diagrams, and control charts. For each tool, it provides details on what the tool is, how it is used, and examples of its application. The seven tools are presented as effective methods for collecting, analyzing, and improving quality data in production processes.
PROCESS MAPPING AND PROCESS RECONSTRUCTIONS & DIAGRAMSHriday Bora
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The document discusses problem-solving and design skills needed for computer programming. It covers several key topics:
1. Candidates should understand top-down design and be able to break down computer systems into subsystems using structure diagrams, flowcharts, pseudocode, and subroutines.
2. Candidates should be able to work with algorithms - explaining them, suggesting test data, and identifying/fixing errors. They should be able to produce algorithms for problems.
3. Top-down design is described as the process of breaking down a computer system into subsystems, then breaking each subsystem into smaller subsystems, until each performs a single action.
One of the best ways to analyze any process is to plot the data. Different graphs can reveal different characteristics of your data such as the central tendency, the dispersion and the general shape for thedistribution.
1. The document discusses various data visualization techniques including tables, charts like scatter plots, line charts and bar charts, and advanced visualizations like parallel coordinate plots and treemaps.
2. It explains best practices for table and chart design including minimizing non-data ink and aligning text and numbers.
3. Data dashboards are described as visualization tools that automatically update metrics and convey key performance indicators to users through techniques like size, position and color.
This document discusses various design notations that can be used at different levels of software design, including:
- Data flow diagrams, structure charts, HIPO diagrams, pseudo code, and structured flowcharts, which can be used to specify external characteristics, architectural structure, and processing details.
- Data flow diagrams use nodes and arcs to represent processing activities and data flow. Structure charts document hierarchy and interconnections. HIPO diagrams use a tree structure.
- Pseudo code and structured flowcharts can be used in architectural and detailed design to concisely describe system characteristics and algorithms.
This document discusses various design notations that can be used at different levels of software design, including:
- Data flow diagrams, structure charts, HIPO diagrams, pseudo code, and structured flowcharts, which can be used for external, architectural, and detailed design specifications.
- Data flow diagrams use nodes and arcs to represent processing activities and data flow. Structure charts show hierarchical structure and interconnections. HIPO diagrams use a tree structure.
- Other notations discussed include procedure templates for interface specifications, pseudo code for algorithms and logic, and decision tables for complex decision logic.
The document discusses various business analysis tools and techniques. It begins by defining business analysis and the responsibilities of business analysts. It then covers topics like reporting tools, query tools, OLAP, data mining, and executive information systems. Under OLAP, it discusses multidimensional data modeling concepts like star schemas, snowflake schemas, and fact constellations. It also covers OLAP operations and different types of OLAP servers including MOLAP, ROLAP, and HOLAP servers.
The document discusses seven statistical quality control tools: flow charts, check sheets, histograms, Pareto diagrams, cause-and-effect diagrams, scatter diagrams, and control charts. It provides definitions and purposes of each tool. Flow charts depict process steps, check sheets systematically collect data, histograms show frequency distributions, Pareto diagrams identify vital causes, cause-and-effect diagrams analyze potential causes, scatter diagrams depict relationships between variables, and control charts identify process variations. The document also discusses how these tools relate to the PDCA (plan-do-check-act) cycle of continuous improvement and provides examples of each tool.
This document discusses data flow diagrams (DFDs) and algorithms for problem solving. It defines a DFD as a graphical depiction of how data moves through an information system using common symbols like processes, external entities, data flows, and data stores. The purpose of a DFD is to create a model of a system that is easy to understand. It then outlines the typical procedure for producing a DFD, including identifying system boundaries, functions, and data links. The document also discusses important considerations for DFDs like precisely labeling processes and focusing on logical data flows rather than physical implementation details. Finally, it provides a brief introduction to problem solving algorithms as step-by-step methods for achieving a desired result.
This document provides an overview of data analysis, synthesis techniques, and system design methods. It discusses data analysis as the process of finding patterns in data and integrating different data types. Synthesis is defined as making meaning through inference-based sensemaking. Quantitative and qualitative data analysis techniques are examined. System design diagramming methods like SADT and object-oriented analysis techniques like use case and sequence diagrams are introduced. Guidelines for the systems design process like user considerations, data management, modularity, and design trade-offs are also outlined.
Prepare and Interpret Technical Drawing.pptxRivenBarquilla
Ìý
The document provides information on preparing and interpreting technical drawings. It discusses basic symbols used in flow charting such as terminators, inputs/outputs, processes, decisions, and arrows. It also covers selecting the appropriate type of technical drawing according to job requirements, such as basic, cross-functional, and data flow diagrams. Finally, it outlines steps for interpreting symbols in a flow chart, such as examining each step and decision point to identify bottlenecks and rework loops.
Analytical tools for textile plant layout.pptxBewuket Teshome
Ìý
This document provides an overview of systematic layout planning procedures and tools. It discusses information gathering, flow and activity analysis, space requirements determination, developing alternative layouts, and evaluating alternatives based on important weighted factors. The goal is to analyze relationships between departments and optimize a layout based on material flow, space needs, and other operational considerations.
The document discusses various quality management tools and techniques, including the seven traditional quality tools, Six Sigma methodology, and new management tools. It provides details on each tool, including definitions, examples, and uses. The seven traditional quality tools described are flow chart, check sheet, cause and effect diagram, Pareto chart, control chart, histogram, and scatter diagram. Six Sigma follows the DMAIC methodology of define, measure, analyze, improve, and control. The seven new management tools discussed are affinity diagram, interrelations diagram, tree diagram, matrix diagram, arrow diagram, and process decision program chart.
The document summarizes the key components of TOGAF (The Open Group Architecture Framework), including architectural elements, artifacts, building blocks, and deliverables. It describes the TOGAF metamodel and how it represents elements and relationships. It also discusses viewpoints, views, catalogs, matrices and diagrams used to communicate architecture. Finally, it lists example deliverables produced in each phase of the TOGAF Architecture Development Method.
TQM-Unit 3-7-1 tools of quality-New.pptxTamilselvan S
Ìý
This document provides an overview of various quality management tools and techniques, including the seven traditional tools of quality (flow charts, check sheets, histograms, Pareto diagrams, cause-and-effect diagrams, scatter diagrams, and control charts). It describes the purpose, construction, and relationship to the PDCA cycle for each tool. Additionally, it covers concepts of Six Sigma methodology, benchmarking, and failure mode and effects analysis (FMEA).
Std 10 Computer Chapter 5 Introduction to CalcNuzhat Memon
Ìý
Std 10 Computer Chapter 5 Introduction to Calc by Nuzhat Memon
Calc
Spreadsheet
LibreOffice
Worksheet
Applications of spreadsheet packages
Getting started with Calc
Rows and columns and cells in spreadsheet
Title bar in Calc
Menu bar or pull down menu in Calc
Toolbar in Calc
Components of spreadsheet
ods file format
Practical Exercise : Sum, Product, Grand Total, Tax Calculation
starteamcalc (Displaying photograph of developer team)
The document defines and describes several types of charts used for data visualization:
- A Pareto chart prioritizes factors according to their impact and follows the 80/20 principle, indicating that 80% of problems stem from 20% of causes. It focuses on the most frequent problems.
- A histogram shows the frequency distribution of continuous data and allows visualization of a data set's shape, center, and variability.
- A Gantt chart visually represents task start times, durations, and overlaps to simplify complex projects and monitor their progress.
- A pie chart represents data proportions visually and is effective for comparing categories to totals when there are 5 or fewer segments.
- A bar chart displays categorical or numeric data by
The document discusses the seven quality control tools introduced by Dr. Kaoru Ishikawa for problem solving and process improvement. It describes each of the seven tools - check sheets, flowcharts, histograms, Pareto charts, cause-and-effect diagrams, scatter diagrams, and control charts. For each tool, it provides details on what the tool is, how it is used, and examples of its application. The seven tools are presented as effective methods for collecting, analyzing, and improving quality data in production processes.
PROCESS MAPPING AND PROCESS RECONSTRUCTIONS & DIAGRAMSHriday Bora
Ìý
The document discusses process mapping and reconstruction for business process reengineering. It defines what a process is and explains why processes should be mapped. Process mapping involves visually representing the steps, inputs/outputs, and other elements of a process. The document describes different types of process maps - flow diagrams, deployment charts, and SIPOCs. It provides examples and outlines how to create each type of map. The goal of process mapping and reconstruction is to analyze existing processes, identify inefficiencies, and improve processes.
The document discusses problem-solving and design skills needed for computer programming. It covers several key topics:
1. Candidates should understand top-down design and be able to break down computer systems into subsystems using structure diagrams, flowcharts, pseudocode, and subroutines.
2. Candidates should be able to work with algorithms - explaining them, suggesting test data, and identifying/fixing errors. They should be able to produce algorithms for problems.
3. Top-down design is described as the process of breaking down a computer system into subsystems, then breaking each subsystem into smaller subsystems, until each performs a single action.
One of the best ways to analyze any process is to plot the data. Different graphs can reveal different characteristics of your data such as the central tendency, the dispersion and the general shape for thedistribution.
1. The document discusses various data visualization techniques including tables, charts like scatter plots, line charts and bar charts, and advanced visualizations like parallel coordinate plots and treemaps.
2. It explains best practices for table and chart design including minimizing non-data ink and aligning text and numbers.
3. Data dashboards are described as visualization tools that automatically update metrics and convey key performance indicators to users through techniques like size, position and color.
This document discusses various design notations that can be used at different levels of software design, including:
- Data flow diagrams, structure charts, HIPO diagrams, pseudo code, and structured flowcharts, which can be used to specify external characteristics, architectural structure, and processing details.
- Data flow diagrams use nodes and arcs to represent processing activities and data flow. Structure charts document hierarchy and interconnections. HIPO diagrams use a tree structure.
- Pseudo code and structured flowcharts can be used in architectural and detailed design to concisely describe system characteristics and algorithms.
This document discusses various design notations that can be used at different levels of software design, including:
- Data flow diagrams, structure charts, HIPO diagrams, pseudo code, and structured flowcharts, which can be used for external, architectural, and detailed design specifications.
- Data flow diagrams use nodes and arcs to represent processing activities and data flow. Structure charts show hierarchical structure and interconnections. HIPO diagrams use a tree structure.
- Other notations discussed include procedure templates for interface specifications, pseudo code for algorithms and logic, and decision tables for complex decision logic.
The document discusses various business analysis tools and techniques. It begins by defining business analysis and the responsibilities of business analysts. It then covers topics like reporting tools, query tools, OLAP, data mining, and executive information systems. Under OLAP, it discusses multidimensional data modeling concepts like star schemas, snowflake schemas, and fact constellations. It also covers OLAP operations and different types of OLAP servers including MOLAP, ROLAP, and HOLAP servers.
The document discusses seven statistical quality control tools: flow charts, check sheets, histograms, Pareto diagrams, cause-and-effect diagrams, scatter diagrams, and control charts. It provides definitions and purposes of each tool. Flow charts depict process steps, check sheets systematically collect data, histograms show frequency distributions, Pareto diagrams identify vital causes, cause-and-effect diagrams analyze potential causes, scatter diagrams depict relationships between variables, and control charts identify process variations. The document also discusses how these tools relate to the PDCA (plan-do-check-act) cycle of continuous improvement and provides examples of each tool.
This document discusses data flow diagrams (DFDs) and algorithms for problem solving. It defines a DFD as a graphical depiction of how data moves through an information system using common symbols like processes, external entities, data flows, and data stores. The purpose of a DFD is to create a model of a system that is easy to understand. It then outlines the typical procedure for producing a DFD, including identifying system boundaries, functions, and data links. The document also discusses important considerations for DFDs like precisely labeling processes and focusing on logical data flows rather than physical implementation details. Finally, it provides a brief introduction to problem solving algorithms as step-by-step methods for achieving a desired result.
This document provides an overview of data analysis, synthesis techniques, and system design methods. It discusses data analysis as the process of finding patterns in data and integrating different data types. Synthesis is defined as making meaning through inference-based sensemaking. Quantitative and qualitative data analysis techniques are examined. System design diagramming methods like SADT and object-oriented analysis techniques like use case and sequence diagrams are introduced. Guidelines for the systems design process like user considerations, data management, modularity, and design trade-offs are also outlined.
The document provides guidelines for writing concise and clear broadcast copy. It outlines the "Six C's" of broadcast writing: clear, concise, conversational, complete, current and correct. It discusses writing in an understandable style using simple words and avoiding passive voice. It also covers punctuation, sentence structure, verbs and other grammar guidelines to help the reader write effectively for the ear.
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How to attach file using upload button Odoo 18Celine George
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In this slide, we’ll discuss on how to attach file using upload button Odoo 18. Odoo features a dedicated model, 'ir.attachments,' designed for storing attachments submitted by end users. We can see the process of utilizing the 'ir.attachments' model to enable file uploads through web forms in this slide.
Finals of Rass MELAI : a Music, Entertainment, Literature, Arts and Internet Culture Quiz organized by Conquiztadors, the Quiz society of Sri Venkateswara College under their annual quizzing fest El Dorado 2025.
Finals of Kaun TALHA : a Travel, Architecture, Lifestyle, Heritage and Activism quiz, organized by Conquiztadors, the Quiz society of Sri Venkateswara College under their annual quizzing fest El Dorado 2025.
Prelims of Kaun TALHA : a Travel, Architecture, Lifestyle, Heritage and Activism quiz, organized by Conquiztadors, the Quiz society of Sri Venkateswara College under their annual quizzing fest El Dorado 2025.
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In this slide, we’ll discuss the database population in Odoo 18. In Odoo, performance analysis of the source code is more important. Database population is one of the methods used to analyze the performance of our code.
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Digital Tools with AI for e-Content Development.pptxDr. Sarita Anand
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This ppt is useful for not only for B.Ed., M.Ed., M.A. (Education) or any other PG level students or Ph.D. scholars but also for the school, college and university teachers who are interested to prepare an e-content with AI for their students and others.
Prelims of Rass MELAI : a Music, Entertainment, Literature, Arts and Internet Culture Quiz organized by Conquiztadors, the Quiz society of Sri Venkateswara College under their annual quizzing fest El Dorado 2025.
1. Prepared by: Erlee June Ann S. Navarra
BASIC ELEMENTS OF
TECHNICAL DRAWING
2. WHAT IS TECHNICAL DRAWING?
• typically comprise the following, coordinates, a title
block, orthographic views of the part, section views,
detail views, and notes to the manufacturer.
• a sequence of actions, materials or services entering
or leaving the process (inputs and outputs), decisions
that must be made, people who become involved,
time involved at each step, and/or process
measurements.
3. Why is that flowchart essential in technical
drawing?
•it provides a breakdown of the
essential steps to solving the
problem.
4. Other than a flowchart, there are several
elements that you can still use to represent
your process flows, such as:
•Schematic diagram
•Layout Plan
•Loop diagram
•Charts
•Block diagram
5. SCHEMATIC DIAGRAM
• A schematic diagram is a representation of system elements
that are abstract or symbols which are graphical in nature. It
removes all the irrelevant information.
• In the data processing cycle example below, Input/ Output
Devices are represented by a rectangle. The rectangles don’t
resemble the actual devices but give you information without
unnecessary visual clutter. The same logic goes with the flow
of the data and how they are being processed, stored, and
retrieved from the CPU and computer memory.
7. CHART
•A chart is a diagram that displays the
relationship of at least two variables. It is
often used to easily interpret large
quantities of data and relationship between
their parts.
8. There are four common charts:
• Histogram
-is a graphical representation of the distribution of numerical data.
data.
9. There are four common charts:
•Bar Chart
-is a graphical representation of grouped data
10. There are four common charts:
•Pie Chart
-is a graphical representation of quantifiable data represented by a
by a sectioned circle much like a pie that’s been cut with the slices
slices varying in size.
11. There are four common charts:
•Line Chart
-is a graphical representation of information as a series of data
points connected by line segments.
12. BLOCK DIAGRAM
• A block diagram is a specialized type of
flowchart. It represents an encompassing view of
major process steps, including the relationships
and interfaces.
13. LAYOUT PLANS
• A layout is a tool to arrange a workplace, like in
a plant, organization, or computer laboratory in
your school.
• It shows how the computers should be located
and arranged properly according to
specifications like the size of the room and
number of units to be installed.
15. LOOP DIAGRAM
• A loop diagram aids you visualizing how items in a system are
interrelated.
• It consists of a set of nodes that represents the item, and
edges that each represents a connection between two items.