�(�I �k��QP �v�U&*��P։�30 ^�{m���βw�HO�fׅ�JH���&h�7p���n~��H |��+�(N�1m. With large amounts of data graphical presentation methods are often clearer to understand. Start studying Data presentation methods- advantages and disadvatages. This centralized mix of information provides a real insight into how people interact with your website, content, and offerings, helping you to identify weaknesses, capitalize on strengths, and make data-driven decisions that can benefit the business exponentially. ��! Last but certainly not least in our advice on how to make data analysis work for your business, we discuss sharing the load. Analysis and presentation of data 4.1 INTRODUCTION This chapter discusses the data analysis and findings from 107 questionnaires completed by adolescent mothers who visited one of the two participating well-baby clinics in the Piet Retief (Mkhondo) area during 2004. 3. By working through this cleansing process in stringent detail, you will be able to extract the data that is truly relevant to your business and use it to develop actionable insights that will propel you forward. The purpose of this study was to identify factors contributing to A neural network is a branch of machine learning - a form of data-driven analytics that attempts, with minimal intervention, to understand how the human brain would process insights and predict values. Data sheets are Online data visualization is a powerful tool as it lets you tell a story with your metrics, allowing users across the business to extract meaningful insights that aid business evolution – and it covers all the different ways to analyze data. Frequency tables are useful methods of presenting data; they do, however, have their limitations. One of the techniques of data analysis of the modern age, intelligent alarms provide automated signals based on particular commands or occurrences within a dataset. In the end, data should be presented in a way that interpretation and analysis is made easy. 15 Methods of Data Analysis in Qualitative Research Compiled by Donald Ratcliff 1. presentation methods, and learning to graph data one has collected oneself from one s own experiments is considerably more engaging and motivating than learning to graph using data that is given by the teacher. Moreover, these cutting-edge tools offer access to dashboards from a multitude of devices, meaning that everyone within the business can connect with practical insights remotely - and share the load. By investing in data analyst tools and techniques that will help you extract insight from various word-based data sources, including product reviews, articles, social media communications, and survey responses, you will gain invaluable insights into your audience, as well as their needs, preferences, and pain points. In this unit you will look at different ways to represent data in tables, charts, ... • state common pupil errors in data representation • illustrate methods to misrepresent data ... 8 to make the presentation meaningful and allow comparison between the various sectors. Table 2 provides examples of possible (existing and new) data sources.3 Data collection (primary data) and collation (secondary data) options Option What might it include? Once you’ve outlined your core objectives, you should consider which questions will need answering to help you achieve your mission. different methods of data presen tation and their appr opriate use . The format for the presentation of data will depend on the target audience and the information that needs to be relayed. Presentation of data is of utter importance nowadays. Semi-tabular Method data tables in some detail. Contents: Facilitator guide, Workbook, Brochure and Slides. Big data is invaluable to today’s businesses, and by using different methods for data analysis, it’s possible to view your data in a way that can help you turn insight into positive action. Not only will we explore data analysis methods and techniques, but we’ll also look at different types of data analysis while demonstrating how to perform analysis in the real world with a 15-step blueprint for success. KPIs are critical to both analysis methods in qualitative and quantitative research. They produce Here, procedures and methods for working with both quantitative and qualitative data are presented. 2. This kind of analysis method focuses on aspects including cluster, cohort, regression, factor, and neural networks and will ultimately give your data analysis methodology a more logical direction. the Corresponding Oral Presentation In the case of a research paper, whenever possible, one should first develop the skeleton of the paper/presentation, to include the following first level titles: (a)Introduction, to include the basic facts needed to tune the reader to the paper and/or presentation; (b)Problem statement, to define precisely the Gartner predicts that by 2021, 80% of emerging technologies will be developed with AI foundations. As data are generally voluminous, they need to be put in a compact and presentable form. Now that we’ve discussed and explored the technical applications of data-driven analysis, we’re going to look at how you can bring all of these elements together in a way that will benefit your business - starting with a little something called data storytelling. Exclusion of specific data collection or analysis methods from the definition also paves the way for a more refined view of qualitative data analysis, one that distinguishes between the data themselves and the analyses performed on data. Autonomous technologies, such as artificial intelligence (AI) and machine learning (ML), play a significant role in the advancement of understanding how to analyze data more effectively. 4. Despite the colossal volume of data we create every day, a mere 0.5% is actually analyzed and used for data discovery, improvement, and intelligence. A data analytics methodology you can count on. Modern analysis tools and techniques accelerate the process of text analytics, helping to collect and curate insights in a way that is efficient and results-driven. Continuous data Continuous data is best displayed in histograms. Presentation of data 1. Afterall everything that’s pleasing to our eyes never fails to grab our attention. Diagrammatic Presentation of Data . Having bestowed your data analysis techniques and methods with true purpose and defined your mission, you should explore the raw data you’ve collected from all sources and use your KPIs as a reference for chopping out any information you deem to be useless. This is one of the most important data analytics techniques as it will shape the very foundations of your success. data gathering that was done •Qualitative and quantitative data may be gathered from any of the three main data gathering approaches •Percentages and averages are commonly used in Interaction Design •Mean, median and mode are different kinds of ‘average’ and can have very different answers for the same set of data The Quantitative data collection methods r ely on random sampling and structured data collection instruments that fit diverse experiences into predetermined response categories. Top 10 Analytics And Business Intelligence Buzzwords For 2021, Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2021, Top 10 Analytics And Business Intelligence Trends For 2021. Learn 5 ways to make your audience understand your message in 2 seconds or less. Trimming the informational fat is one of the most crucial methods of data analysis as it will allow you to focus your analytical efforts and squeeze every drop of value from the remaining ‘lean’ information. Tabulation can be in form of Simple Tables or Frequency distribution table (i.e., data is split […] Makes complex data simple. Here is a quick glossary of these vital statistical analysis terms for your reference: While, at this point, this particular step is optional (you will have already gained a wealth of insight and formed a fairly sound strategy by now), creating a data governance roadmap will help your data analysis methods and techniques become successful on a more sustainable basis. At present, neural networks and intelligence alarms are driving the autonomous revolution in the world of data-driven analytics. There are many different methods for collecting data. feature either different subsets of data taken from a larger data set, or different views of a shared data set. WHO Library Cataloguing-in-Publication Data: Implementation research toolkit. }�;�r�BJ�^Ӌi�j�����w9����̙*^g��Ĝ�VD��lTr̃b%2�T�yB^�" The "stem" values are listed down, and the … Home > Presentation of Data Page > Effective Data. The most common way of presentation of data is in the form of statements. To gain a practical understanding, it’s vital that you gain a foundational knowledge of the following two areas: If you understand why a trend, pattern, or event happened through data, you will be able to develop an informed projection of how things may unfold in particular areas of the business. By doing so, you will be able to formulate initiatives or launch campaigns ahead of the curve, beating your competitors to the punch. UNIT 13 DATA PRESENTATION AND DESCRIPTIVE STATISTICS Structure 13.0 Objectives 13.1 Introduction 13.2 Origin of Statistics 13.3 Data Presentation 13.3.1 Data: Types and Collection 13.3.2 Tabular Presentation 13.3.3 Charts and Diagrams for Ungrouped Data 13.3.4 Frequency Distribution 13.3.5 Histogram, Frequency Polygon and Ogives 13.4 Review of Descriptive Statistics 13.4.1 … And when it comes to knowing how to make data analysis, this kind of collaborative approach is essential. By gaining this level of knowledge, you will be able to create campaigns, services, and communications that meet the needs of your prospects on a personal level, growing your audience while boosting customer retention. Designed to provide direct and actionable answers to specific questions, this is one of the world’s most important methods in research, among its other key organizational functions such as retail analytics, e.g. The purpose of data analysis is to make your entire organization more informed and intelligent, and with the right platform or dashboard, this is simpler than you think, as demonstrated by our marketing dashboard. There are many ways to analyze data, but one of the most vital aspects of analytical success in a business context is integrating the right decision support software and technology. Expanding on our previous point, by using technical methods to give your data more shape and meaning, you will be able to provide a platform for wider access to data-driven insights. 2. To explain the key differences between qualitative and quantitative data, here’s a video for your viewing pleasure: Gaining a better understanding of different techniques for data analysis, and methods in quantitative research as well as qualitative insights, will give your information analyzing efforts a more clearly defined direction, so it’s worth taking the time to allow this particular knowledge to sink in. Arguably, the best way to make your data concepts accessible across the organization is through data visualization. <> Want to perform advanced data analysis with a few clicks? Another of the most effective data analysis methods in research, prescriptive data techniques cross over from predictive analysis in the way that it revolves around using patterns or trends to develop responsive, practical business strategies. When you present numbers on your slides, you can expect two types of reactions from your audience. Let us see some ways in which we represent data … ADVERTISEMENTS: In this article we will discuss about the presentation methods of statistical data. To help you understand the potential of analysis, the meaning, and how you can use it to enhance your business practices, we will answer a host of important analytical questions. This works best for simple observations, such as: "When viewed by light microscopy, all of the cells appeared dead." Comparison can be made between values of a variable. It can be used even for non-numerical data. Graphical methods for presenting data 2.1 Introduction We have lookedatways of collectingdataand thencollatingthem intotables. If you know why something happened as well as how it happened, you will be able to pinpoint the exact ways of tackling the issue or challenge. Data tables 3. Before you begin to analyze your data or drill down into any analysis techniques, it’s crucial to sit down collaboratively with all key stakeholders within your organization, decide on your primary campaign or strategic goals, and gain a fundamental understanding of the types of insights that will best benefit your progress or provide you with the level of vision you need to evolve your organization. These techniques are easy to do, but I’ve rarely (if ever) seen them all demonstrated so well in a single talk.The techniques are: x��]�$�Q�����"�n���p0�%��d�����E�"Ey���H q��R��]v��{�VJ������������e�����?m���m�ϦΨ-z�=SZl����_����eS�����2�ev{�|윍+X/ ������?m��=�`�bZ��;��l�eJ���� ;�3��Vk����a�3B��Yg�t���bw_~��R���鸔�����=����}�8/S��ޠ�x��#tm���Z��xh8H\��`���{�vO��i�q�l�,�=�D�?ۋ��� ��&PJ �v�����Å��a�v(�!Zr(��w{�Ic�œ���/�^���ã����_7�ם0 O����V�����~���2��5���j#;d�#�D� �������=c�|~�����H@�� General merits 1. 3. different types of bar charts, depending on the number of variables and the type of information to be displayed. Any stats, facts, figures, or metrics that don’t align with your business goals or fit with your KPI management strategies should be eliminated from the equation. �{1�h�! Our modern information age leads to dynamic and extremely high growth of the data mining world. to produce output (information and insights). Data analysis concepts may come in many forms, but fundamentally, any solid methodology will help to make your business more streamlined, cohesive, insightful and successful than ever before. INTRODUCTION You have already learnt in previous chapters how data are collected and organised. People love to use buzzwords in the tech industry, so check out our list of the top 10 technology buzzwords that you won’t be able to avoid in 2021. Check out what BI trends will be on everyone’s lips and keyboards in 2021. 2.Delivery of Health Care – methods. Neural networks learn from each and every data transaction, meaning that they evolve and advance over time. When it comes to lessons on how to do analysis, drilling down into diagnostic analysis is essential. After giving your data analytics methodology real direction and knowing which questions need answering to extract optimum value from the information available to your organization, you should decide on your most valuable data sources and start collecting your insights – the most fundamental of all data analysis techniques. With so much data and so little time, knowing how to collect, curate, organize, and make sense of all of this potentially business-boosting information can be a minefield – but online data analysis is the solution. One of the most effective data analysis tools and techniques you will ever invest in. (Patton pp. By doing so, you will make your analytical efforts more accessible, digestible, and universal, empowering more people within your organization to use your discoveries to their actionable advantage. Data Transmission Presentation B CSE 3461 / 5461: Computer Networking & Internet Technologies Kannan Srinivasan 08/30/2012 Presentation B 2 Data Communications Model Figure 1.2 Studying Assignment: 3.1-3.4, 4.1 For example, if you’re monitoring supply chain KPIs, you could set an intelligent alarm to trigger when invalid or low-quality data appears. This is one of the primary methods of analyzing data you certainly shouldn’t overlook. Presentation of data refers to an exhibition or putting up data in an attractive and useful manner such that it can be easily interpreted. When data are more quantitative, such as- "7 out of 10 cells were dead", a table is the preferred form. Rosling employs GapMinder to display his statistics. Learn vocabulary, terms, and more with flashcards, games, and other study tools. Tabulation: Tables are devices for presenting data simply from masses of statistical data. There are various methods for data analysis, largely based on two core areas: quantitative data analysis methods and data analysis methods in qualitative research. how the different analytical procedures and methods can be powerful and effective tools for MSHS managers. �~���F(O7.�%�HJnJ �N��3�F+l���P��B��c�>�ڶlŋd�yo*�i�ψ��%+�0�z�i�Ӣb�0�X$x�ag�iFu)�]ڊ���k��������֣�UL�\G��fd-� By drilling down into prescriptive analysis, you will play an active role in the data consumption process by taking well-arranged sets of visual data and using it as a powerful fix to emerging issues in a number of key business areas, including marketing, sales, customer experience, HR, fulfillment, finance, logistics analytics, and others. Data is manipulated to produce results that lead to a resolution of a problem or improvement of an existing situation. v8��*���I=xߩ����C��?ڢ��A_WBbۄ>;�l�@/���w�\�:%s��_F������?4�4eelh8n$D�?�c���X�x* ��f�~%�jg�n��b. The quantities can be easily read in terms of heights of the bars. Manifold table – This table explains more than three characteristics of the data. Edward Tufte popularized a form of display that he calls small multiples, which uses a series of small graphs arranged together within eye span so they can be compared. The three main forms of presentation of data are: 1. Examples Retrieving existing documents and data Formal policy documents, implementation plans and reports Light Cream Sauce For Pasta And Shrimp, Needham Bank - Needham Ma, Jobsno Experience Needed Near Me, Taco Skillet With Rice, Fast University Fee Structure 2020, Lee Valley Catalogue 2020, Smooth Border Collie Puppy, Dog Price 10,000, Psalm 43:3 Kjv, What Are The Advantages And Disadvantages Of Breeder Reactors, Doom Meaning In English, Benjamin Moore Victorian Mauve, First Financial Credit Union Locations, Crazy Roll Sushi Menu, Tiger In A Tropical Storm Meaning, " /> �(�I �k��QP �v�U&*��P։�30 ^�{m���βw�HO�fׅ�JH���&h�7p���n~��H |��+�(N�1m. With large amounts of data graphical presentation methods are often clearer to understand. Start studying Data presentation methods- advantages and disadvatages. This centralized mix of information provides a real insight into how people interact with your website, content, and offerings, helping you to identify weaknesses, capitalize on strengths, and make data-driven decisions that can benefit the business exponentially. ��! Last but certainly not least in our advice on how to make data analysis work for your business, we discuss sharing the load. Analysis and presentation of data 4.1 INTRODUCTION This chapter discusses the data analysis and findings from 107 questionnaires completed by adolescent mothers who visited one of the two participating well-baby clinics in the Piet Retief (Mkhondo) area during 2004. 3. By working through this cleansing process in stringent detail, you will be able to extract the data that is truly relevant to your business and use it to develop actionable insights that will propel you forward. The purpose of this study was to identify factors contributing to A neural network is a branch of machine learning - a form of data-driven analytics that attempts, with minimal intervention, to understand how the human brain would process insights and predict values. Data sheets are Online data visualization is a powerful tool as it lets you tell a story with your metrics, allowing users across the business to extract meaningful insights that aid business evolution – and it covers all the different ways to analyze data. Frequency tables are useful methods of presenting data; they do, however, have their limitations. One of the techniques of data analysis of the modern age, intelligent alarms provide automated signals based on particular commands or occurrences within a dataset. In the end, data should be presented in a way that interpretation and analysis is made easy. 15 Methods of Data Analysis in Qualitative Research Compiled by Donald Ratcliff 1. presentation methods, and learning to graph data one has collected oneself from one s own experiments is considerably more engaging and motivating than learning to graph using data that is given by the teacher. Moreover, these cutting-edge tools offer access to dashboards from a multitude of devices, meaning that everyone within the business can connect with practical insights remotely - and share the load. By investing in data analyst tools and techniques that will help you extract insight from various word-based data sources, including product reviews, articles, social media communications, and survey responses, you will gain invaluable insights into your audience, as well as their needs, preferences, and pain points. In this unit you will look at different ways to represent data in tables, charts, ... • state common pupil errors in data representation • illustrate methods to misrepresent data ... 8 to make the presentation meaningful and allow comparison between the various sectors. Table 2 provides examples of possible (existing and new) data sources.3 Data collection (primary data) and collation (secondary data) options Option What might it include? Once you’ve outlined your core objectives, you should consider which questions will need answering to help you achieve your mission. different methods of data presen tation and their appr opriate use . The format for the presentation of data will depend on the target audience and the information that needs to be relayed. Presentation of data is of utter importance nowadays. Semi-tabular Method data tables in some detail. Contents: Facilitator guide, Workbook, Brochure and Slides. Big data is invaluable to today’s businesses, and by using different methods for data analysis, it’s possible to view your data in a way that can help you turn insight into positive action. Not only will we explore data analysis methods and techniques, but we’ll also look at different types of data analysis while demonstrating how to perform analysis in the real world with a 15-step blueprint for success. KPIs are critical to both analysis methods in qualitative and quantitative research. They produce Here, procedures and methods for working with both quantitative and qualitative data are presented. 2. This kind of analysis method focuses on aspects including cluster, cohort, regression, factor, and neural networks and will ultimately give your data analysis methodology a more logical direction. the Corresponding Oral Presentation In the case of a research paper, whenever possible, one should first develop the skeleton of the paper/presentation, to include the following first level titles: (a)Introduction, to include the basic facts needed to tune the reader to the paper and/or presentation; (b)Problem statement, to define precisely the Gartner predicts that by 2021, 80% of emerging technologies will be developed with AI foundations. As data are generally voluminous, they need to be put in a compact and presentable form. Now that we’ve discussed and explored the technical applications of data-driven analysis, we’re going to look at how you can bring all of these elements together in a way that will benefit your business - starting with a little something called data storytelling. Exclusion of specific data collection or analysis methods from the definition also paves the way for a more refined view of qualitative data analysis, one that distinguishes between the data themselves and the analyses performed on data. Autonomous technologies, such as artificial intelligence (AI) and machine learning (ML), play a significant role in the advancement of understanding how to analyze data more effectively. 4. Despite the colossal volume of data we create every day, a mere 0.5% is actually analyzed and used for data discovery, improvement, and intelligence. A data analytics methodology you can count on. Modern analysis tools and techniques accelerate the process of text analytics, helping to collect and curate insights in a way that is efficient and results-driven. Continuous data Continuous data is best displayed in histograms. Presentation of data 1. Afterall everything that’s pleasing to our eyes never fails to grab our attention. Diagrammatic Presentation of Data . Having bestowed your data analysis techniques and methods with true purpose and defined your mission, you should explore the raw data you’ve collected from all sources and use your KPIs as a reference for chopping out any information you deem to be useless. This is one of the most important data analytics techniques as it will shape the very foundations of your success. data gathering that was done •Qualitative and quantitative data may be gathered from any of the three main data gathering approaches •Percentages and averages are commonly used in Interaction Design •Mean, median and mode are different kinds of ‘average’ and can have very different answers for the same set of data The Quantitative data collection methods r ely on random sampling and structured data collection instruments that fit diverse experiences into predetermined response categories. Top 10 Analytics And Business Intelligence Buzzwords For 2021, Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2021, Top 10 Analytics And Business Intelligence Trends For 2021. Learn 5 ways to make your audience understand your message in 2 seconds or less. Trimming the informational fat is one of the most crucial methods of data analysis as it will allow you to focus your analytical efforts and squeeze every drop of value from the remaining ‘lean’ information. Tabulation can be in form of Simple Tables or Frequency distribution table (i.e., data is split […] Makes complex data simple. Here is a quick glossary of these vital statistical analysis terms for your reference: While, at this point, this particular step is optional (you will have already gained a wealth of insight and formed a fairly sound strategy by now), creating a data governance roadmap will help your data analysis methods and techniques become successful on a more sustainable basis. At present, neural networks and intelligence alarms are driving the autonomous revolution in the world of data-driven analytics. There are many different methods for collecting data. feature either different subsets of data taken from a larger data set, or different views of a shared data set. WHO Library Cataloguing-in-Publication Data: Implementation research toolkit. }�;�r�BJ�^Ӌi�j�����w9����̙*^g��Ĝ�VD��lTr̃b%2�T�yB^�" The "stem" values are listed down, and the … Home > Presentation of Data Page > Effective Data. The most common way of presentation of data is in the form of statements. To gain a practical understanding, it’s vital that you gain a foundational knowledge of the following two areas: If you understand why a trend, pattern, or event happened through data, you will be able to develop an informed projection of how things may unfold in particular areas of the business. By doing so, you will be able to formulate initiatives or launch campaigns ahead of the curve, beating your competitors to the punch. UNIT 13 DATA PRESENTATION AND DESCRIPTIVE STATISTICS Structure 13.0 Objectives 13.1 Introduction 13.2 Origin of Statistics 13.3 Data Presentation 13.3.1 Data: Types and Collection 13.3.2 Tabular Presentation 13.3.3 Charts and Diagrams for Ungrouped Data 13.3.4 Frequency Distribution 13.3.5 Histogram, Frequency Polygon and Ogives 13.4 Review of Descriptive Statistics 13.4.1 … And when it comes to knowing how to make data analysis, this kind of collaborative approach is essential. By gaining this level of knowledge, you will be able to create campaigns, services, and communications that meet the needs of your prospects on a personal level, growing your audience while boosting customer retention. Designed to provide direct and actionable answers to specific questions, this is one of the world’s most important methods in research, among its other key organizational functions such as retail analytics, e.g. The purpose of data analysis is to make your entire organization more informed and intelligent, and with the right platform or dashboard, this is simpler than you think, as demonstrated by our marketing dashboard. There are many ways to analyze data, but one of the most vital aspects of analytical success in a business context is integrating the right decision support software and technology. Expanding on our previous point, by using technical methods to give your data more shape and meaning, you will be able to provide a platform for wider access to data-driven insights. 2. To explain the key differences between qualitative and quantitative data, here’s a video for your viewing pleasure: Gaining a better understanding of different techniques for data analysis, and methods in quantitative research as well as qualitative insights, will give your information analyzing efforts a more clearly defined direction, so it’s worth taking the time to allow this particular knowledge to sink in. Arguably, the best way to make your data concepts accessible across the organization is through data visualization. <> Want to perform advanced data analysis with a few clicks? Another of the most effective data analysis methods in research, prescriptive data techniques cross over from predictive analysis in the way that it revolves around using patterns or trends to develop responsive, practical business strategies. When you present numbers on your slides, you can expect two types of reactions from your audience. Let us see some ways in which we represent data … ADVERTISEMENTS: In this article we will discuss about the presentation methods of statistical data. To help you understand the potential of analysis, the meaning, and how you can use it to enhance your business practices, we will answer a host of important analytical questions. This works best for simple observations, such as: "When viewed by light microscopy, all of the cells appeared dead." Comparison can be made between values of a variable. It can be used even for non-numerical data. Graphical methods for presenting data 2.1 Introduction We have lookedatways of collectingdataand thencollatingthem intotables. If you know why something happened as well as how it happened, you will be able to pinpoint the exact ways of tackling the issue or challenge. Data tables 3. Before you begin to analyze your data or drill down into any analysis techniques, it’s crucial to sit down collaboratively with all key stakeholders within your organization, decide on your primary campaign or strategic goals, and gain a fundamental understanding of the types of insights that will best benefit your progress or provide you with the level of vision you need to evolve your organization. These techniques are easy to do, but I’ve rarely (if ever) seen them all demonstrated so well in a single talk.The techniques are: x��]�$�Q�����"�n���p0�%��d�����E�"Ey���H q��R��]v��{�VJ������������e�����?m���m�ϦΨ-z�=SZl����_����eS�����2�ev{�|윍+X/ ������?m��=�`�bZ��;��l�eJ���� ;�3��Vk����a�3B��Yg�t���bw_~��R���鸔�����=����}�8/S��ޠ�x��#tm���Z��xh8H\��`���{�vO��i�q�l�,�=�D�?ۋ��� ��&PJ �v�����Å��a�v(�!Zr(��w{�Ic�œ���/�^���ã����_7�ם0 O����V�����~���2��5���j#;d�#�D� �������=c�|~�����H@�� General merits 1. 3. different types of bar charts, depending on the number of variables and the type of information to be displayed. Any stats, facts, figures, or metrics that don’t align with your business goals or fit with your KPI management strategies should be eliminated from the equation. �{1�h�! Our modern information age leads to dynamic and extremely high growth of the data mining world. to produce output (information and insights). Data analysis concepts may come in many forms, but fundamentally, any solid methodology will help to make your business more streamlined, cohesive, insightful and successful than ever before. INTRODUCTION You have already learnt in previous chapters how data are collected and organised. People love to use buzzwords in the tech industry, so check out our list of the top 10 technology buzzwords that you won’t be able to avoid in 2021. Check out what BI trends will be on everyone’s lips and keyboards in 2021. 2.Delivery of Health Care – methods. Neural networks learn from each and every data transaction, meaning that they evolve and advance over time. When it comes to lessons on how to do analysis, drilling down into diagnostic analysis is essential. After giving your data analytics methodology real direction and knowing which questions need answering to extract optimum value from the information available to your organization, you should decide on your most valuable data sources and start collecting your insights – the most fundamental of all data analysis techniques. With so much data and so little time, knowing how to collect, curate, organize, and make sense of all of this potentially business-boosting information can be a minefield – but online data analysis is the solution. One of the most effective data analysis tools and techniques you will ever invest in. (Patton pp. By doing so, you will make your analytical efforts more accessible, digestible, and universal, empowering more people within your organization to use your discoveries to their actionable advantage. Data Transmission Presentation B CSE 3461 / 5461: Computer Networking & Internet Technologies Kannan Srinivasan 08/30/2012 Presentation B 2 Data Communications Model Figure 1.2 Studying Assignment: 3.1-3.4, 4.1 For example, if you’re monitoring supply chain KPIs, you could set an intelligent alarm to trigger when invalid or low-quality data appears. This is one of the primary methods of analyzing data you certainly shouldn’t overlook. Presentation of data refers to an exhibition or putting up data in an attractive and useful manner such that it can be easily interpreted. When data are more quantitative, such as- "7 out of 10 cells were dead", a table is the preferred form. Rosling employs GapMinder to display his statistics. Learn vocabulary, terms, and more with flashcards, games, and other study tools. Tabulation: Tables are devices for presenting data simply from masses of statistical data. There are various methods for data analysis, largely based on two core areas: quantitative data analysis methods and data analysis methods in qualitative research. how the different analytical procedures and methods can be powerful and effective tools for MSHS managers. �~���F(O7.�%�HJnJ �N��3�F+l���P��B��c�>�ڶlŋd�yo*�i�ψ��%+�0�z�i�Ӣb�0�X$x�ag�iFu)�]ڊ���k��������֣�UL�\G��fd-� By drilling down into prescriptive analysis, you will play an active role in the data consumption process by taking well-arranged sets of visual data and using it as a powerful fix to emerging issues in a number of key business areas, including marketing, sales, customer experience, HR, fulfillment, finance, logistics analytics, and others. Data is manipulated to produce results that lead to a resolution of a problem or improvement of an existing situation. v8��*���I=xߩ����C��?ڢ��A_WBbۄ>;�l�@/���w�\�:%s��_F������?4�4eelh8n$D�?�c���X�x* ��f�~%�jg�n��b. The quantities can be easily read in terms of heights of the bars. Manifold table – This table explains more than three characteristics of the data. Edward Tufte popularized a form of display that he calls small multiples, which uses a series of small graphs arranged together within eye span so they can be compared. The three main forms of presentation of data are: 1. Examples Retrieving existing documents and data Formal policy documents, implementation plans and reports Light Cream Sauce For Pasta And Shrimp, Needham Bank - Needham Ma, Jobsno Experience Needed Near Me, Taco Skillet With Rice, Fast University Fee Structure 2020, Lee Valley Catalogue 2020, Smooth Border Collie Puppy, Dog Price 10,000, Psalm 43:3 Kjv, What Are The Advantages And Disadvantages Of Breeder Reactors, Doom Meaning In English, Benjamin Moore Victorian Mauve, First Financial Credit Union Locations, Crazy Roll Sushi Menu, Tiger In A Tropical Storm Meaning, " />

different methods of data presentation pdf

Data may be presented in(3 Methods): - Textual - Tabular or - Graphical. If you work with the right tools and dashboards, you will be able to present your metrics in a digestible, value-driven format, allowing almost everyone in the organization to connect with and use relevant data to their advantage. By Sandra Durcevic in Data Analysis, Apr 29th 2020. Managing Partners: Martin Blumenau, Jakob Rehermann | Trade Register: Berlin-Charlottenburg HRB 144962 B | Tax Identification Number: DE 28 552 2148, News, Insights and Advice for Getting your Data in Shape, BI Blog | Data Visualization & Analytics Blog | datapine. To help you ask the right things and ensure your data works for you, you have to ask the right data analysis questions. Text analysis, also known in the industry as text mining, is the process of taking large sets of textual data and arranging it in a way that makes it easier to manage. One of the most pivotal types of analysis is statistics. Collectively, we create a colossal 2.5 quintillion bytes of digital data every single day, and a large segment is text-based. %PDF-1.3 Not everyone in your audience likes to crunch numbers. Delving deeper than the user data served up by Google Analytics (GA) alone, this visual, dynamic, and interactive online dashboard displays the behavior of your users and site visitors, presenting a wealth of metrics based on KPIs that explore session duration, page bounce rates, landing page conversion rates, and goal conversion rates, making a comprehensive marketing report that a user can additionally interact with and adjust. Once everyone is able to work with a data-driven mindset, you will catalyze the success of your business in ways you never thought possible. Diagrams are attractive. 4.Translational Medical Research 5.Teaching Materials I.World Health Organization. Yes, good data analytics techniques result in enhanced business intelligence (BI). These roadmaps, if developed properly, are also built so they can be tweaked and scaled over time. A powerful form of data discovery, diagnostic data analytics empowers analysts and business executives by helping them gain a firm contextual understanding of why something happened. Tables. MODULE - 6 Collection and Presentation of Data Notes Presentation and Analysis of Data in Economics 30 making. Once you’ve cleansed, shaped, and visualized your most invaluable data using various BI dashboard tools, you should strive to tell a story - one with a clear-cut beginning, middle, and end. ... and the saved PDF file must be imported into . 3. %�쏢 This is a testament to the ever-growing power and value of autonomous technologies. Similar to a production process, it follows a cycle where inputs (raw data) are fed to a process (computer systems, software, etc.) A vast quantity of data that businesses collect is unstructured. Original data are called raw data. View Homework Help - DATA-PRESENTATION(5) from PSYCHOLOGY 31 at De La Salle University - Dasmariñas. Data can be represented in countless ways. Data Analysis & Presentation. 5 0 obj General limitations 1. One cannot expect to get liner data from a pie chart, thus basic knowledge and application of different type of presentation methods saves time. Utility or uses of diagrammatic presentation: 1. Typology - a classification system, taken from patterns, themes, or other kinds of groups of data. This is a wonderful software tool for displaying data, but the real magic of this presentation lies in the techniques demonstrated by Rosling. 4. A special table where each data value is split into a "leaf" (usually the last digit) and a "stem" (the other digits). Additionally, there should be enough sample available so as to get some meaningful analysis and result. Specific procedures and methods of data analysis are discussed with clear ways of using and working with data in order to identify results. Diagrams save time when compared to other methods. To summarize, here are the top 15 steps for data analysis techniques and methods: “One metric alone doesn’t tell you what’s happening with your site; as ever Analytics is about taking your data and outside influences and building insights from all of it.” - Fiona Roddis. Generally, organizations employ computer sy… Various data processing methods are used to converts raw data to meaningful information through a process. Presentation of data is tricky. II.UNICEF/UNDP/World Bank/WHO {�녌�,�2=P_�B0�i+���&�p�y�ltA�l����L�($��dZ�S9N3��vI�Γ� By integrating the right technology for your statistical method data analysis and core data analytics methodology, you’ll avoid fragmenting your insights, saving you time and effort while allowing you to enjoy the maximum value from your business’s most valuable insights. Once you’ve set your data sources, started to gather the raw data you consider to offer potential value, and established clear-cut questions you want your insights to answer, you need to set a host of key performance indicators (KPIs) that will help you track, measure, and shape your progress in a number of key areas. • You have multiple data sets with different units of measure A graph is best when: • The message is contained in the shape of the values • You want to reveal relationships among multiple values (similarities and differences) • Show general trends • You have large data sets • Graphs and tables serve different purposes. We’ve pondered the data analysis meaning and drilled down into the practical applications of data-centric analytics, and one thing is clear: by taking measures to arrange your data and making your metrics work for you, it’s possible to transform raw information into action - the kind of that will push your business to the next level. By doing so, you will be able to drill down deep into the issue and fix it swiftly and effectively. Now that we’ve answered the question, ‘what is data analysis?’, considered the different types of analysis methods, it’s time to dig deeper into how to do data analysis by working through these 15 essential elements. It is also called statistical data or simply statistics. Numbers are distracting. While having access to a breadth of data-driven insight is essential to enhancing your business intelligence (BI) capabilities, without implementing techniques of data analysis to give your metrics structure, you will only ever be scraping the surface. 3.Program Development – methods. Also, if you can use the predictive aspect of diagnostic analytics to your advantage, you will be able to prevent potential problems or inefficiencies from spiraling out of control, nipping potential problems in the bud. stream Data is initially collected from a given source, whether they are experiments, surveys, or observation, and is presented in one of four methods: Textual Method The reader acquires information through reading the gathered data. Data is a plural term. Additionally, you will be able to create a comprehensive analytical report that will skyrocket your analysis processes. Textual presentation 2. Let’s take a look at the 10 business intelligence buzzwords that will be present in the BI world in 2021. The singular of data is datum. To help you set the best possible KPIs for your initiatives and activities, explore our collection of key performance indicator examples. To help you understand this notion in more detail, read our exploration of business intelligence reporting. For a look at the power of software for the purpose of analysis and to enhance your methods of analyzing data, glance over our selection of dashboard examples. Raw Data Data sheets are where the data are originally recorded. Because quantitative data is so foundational, this article will focus on collection methods for quantitative primary data. There are BI reporting tools that have predictive analytics options already implemented within them, but also made user-friendly so that you don't need to calculate anything manually or perform the robust and advanced analysis yourself. In our data-rich age, understanding how to analyze and extract true meaning from the digital insights available to our business is one of the primary drivers of success. Modern data dashboards consolidate data from various sources, providing access to a wealth of insights in one centralized location, no matter if you need to monitor recruitment metrics or generate reports that need to be sent across numerous departments. By considering each of the above efforts, working with the right technology, and fostering a cohesive internal culture where everyone buys into the different ways to analyze data as well as the power of digital intelligence, you will swiftly start to answer your most burning business questions. Measures of Spread can be calculated using different statistical methods such as Standard Deviation and variance. The human brain responds incredibly well to strong stories or narratives. 393,398) John Lofland & Lyn Lofland Ideally, categories should be mutually exclusive and exhaustive if possible, often they aren't. ���k-A��3Ni\������p|�KS,��Kn�Ć%��/#��{�{cϻ=�2����c��x�C��*�s�#��3�3'��EV��Xa�S�����2�b�3Y�����ms�:Ym�ؽh�MԳ��ݧ����E���n^���C�ן��{����ڰ�y|�� �Jہ��[�M��7����^:I�z���'M��#S��qg�+ޞN*PX����(� ~�af@W��h%(��5z�(��80����z�� B����T�A=0��>�(�I �k��QP �v�U&*��P։�30 ^�{m���βw�HO�fׅ�JH���&h�7p���n~��H |��+�(N�1m. With large amounts of data graphical presentation methods are often clearer to understand. Start studying Data presentation methods- advantages and disadvatages. This centralized mix of information provides a real insight into how people interact with your website, content, and offerings, helping you to identify weaknesses, capitalize on strengths, and make data-driven decisions that can benefit the business exponentially. ��! Last but certainly not least in our advice on how to make data analysis work for your business, we discuss sharing the load. Analysis and presentation of data 4.1 INTRODUCTION This chapter discusses the data analysis and findings from 107 questionnaires completed by adolescent mothers who visited one of the two participating well-baby clinics in the Piet Retief (Mkhondo) area during 2004. 3. By working through this cleansing process in stringent detail, you will be able to extract the data that is truly relevant to your business and use it to develop actionable insights that will propel you forward. The purpose of this study was to identify factors contributing to A neural network is a branch of machine learning - a form of data-driven analytics that attempts, with minimal intervention, to understand how the human brain would process insights and predict values. Data sheets are Online data visualization is a powerful tool as it lets you tell a story with your metrics, allowing users across the business to extract meaningful insights that aid business evolution – and it covers all the different ways to analyze data. Frequency tables are useful methods of presenting data; they do, however, have their limitations. One of the techniques of data analysis of the modern age, intelligent alarms provide automated signals based on particular commands or occurrences within a dataset. In the end, data should be presented in a way that interpretation and analysis is made easy. 15 Methods of Data Analysis in Qualitative Research Compiled by Donald Ratcliff 1. presentation methods, and learning to graph data one has collected oneself from one s own experiments is considerably more engaging and motivating than learning to graph using data that is given by the teacher. Moreover, these cutting-edge tools offer access to dashboards from a multitude of devices, meaning that everyone within the business can connect with practical insights remotely - and share the load. By investing in data analyst tools and techniques that will help you extract insight from various word-based data sources, including product reviews, articles, social media communications, and survey responses, you will gain invaluable insights into your audience, as well as their needs, preferences, and pain points. In this unit you will look at different ways to represent data in tables, charts, ... • state common pupil errors in data representation • illustrate methods to misrepresent data ... 8 to make the presentation meaningful and allow comparison between the various sectors. Table 2 provides examples of possible (existing and new) data sources.3 Data collection (primary data) and collation (secondary data) options Option What might it include? Once you’ve outlined your core objectives, you should consider which questions will need answering to help you achieve your mission. different methods of data presen tation and their appr opriate use . The format for the presentation of data will depend on the target audience and the information that needs to be relayed. Presentation of data is of utter importance nowadays. Semi-tabular Method data tables in some detail. Contents: Facilitator guide, Workbook, Brochure and Slides. Big data is invaluable to today’s businesses, and by using different methods for data analysis, it’s possible to view your data in a way that can help you turn insight into positive action. Not only will we explore data analysis methods and techniques, but we’ll also look at different types of data analysis while demonstrating how to perform analysis in the real world with a 15-step blueprint for success. KPIs are critical to both analysis methods in qualitative and quantitative research. They produce Here, procedures and methods for working with both quantitative and qualitative data are presented. 2. This kind of analysis method focuses on aspects including cluster, cohort, regression, factor, and neural networks and will ultimately give your data analysis methodology a more logical direction. the Corresponding Oral Presentation In the case of a research paper, whenever possible, one should first develop the skeleton of the paper/presentation, to include the following first level titles: (a)Introduction, to include the basic facts needed to tune the reader to the paper and/or presentation; (b)Problem statement, to define precisely the Gartner predicts that by 2021, 80% of emerging technologies will be developed with AI foundations. As data are generally voluminous, they need to be put in a compact and presentable form. Now that we’ve discussed and explored the technical applications of data-driven analysis, we’re going to look at how you can bring all of these elements together in a way that will benefit your business - starting with a little something called data storytelling. Exclusion of specific data collection or analysis methods from the definition also paves the way for a more refined view of qualitative data analysis, one that distinguishes between the data themselves and the analyses performed on data. Autonomous technologies, such as artificial intelligence (AI) and machine learning (ML), play a significant role in the advancement of understanding how to analyze data more effectively. 4. Despite the colossal volume of data we create every day, a mere 0.5% is actually analyzed and used for data discovery, improvement, and intelligence. A data analytics methodology you can count on. Modern analysis tools and techniques accelerate the process of text analytics, helping to collect and curate insights in a way that is efficient and results-driven. Continuous data Continuous data is best displayed in histograms. Presentation of data 1. Afterall everything that’s pleasing to our eyes never fails to grab our attention. Diagrammatic Presentation of Data . Having bestowed your data analysis techniques and methods with true purpose and defined your mission, you should explore the raw data you’ve collected from all sources and use your KPIs as a reference for chopping out any information you deem to be useless. This is one of the most important data analytics techniques as it will shape the very foundations of your success. data gathering that was done •Qualitative and quantitative data may be gathered from any of the three main data gathering approaches •Percentages and averages are commonly used in Interaction Design •Mean, median and mode are different kinds of ‘average’ and can have very different answers for the same set of data The Quantitative data collection methods r ely on random sampling and structured data collection instruments that fit diverse experiences into predetermined response categories. Top 10 Analytics And Business Intelligence Buzzwords For 2021, Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2021, Top 10 Analytics And Business Intelligence Trends For 2021. Learn 5 ways to make your audience understand your message in 2 seconds or less. Trimming the informational fat is one of the most crucial methods of data analysis as it will allow you to focus your analytical efforts and squeeze every drop of value from the remaining ‘lean’ information. Tabulation can be in form of Simple Tables or Frequency distribution table (i.e., data is split […] Makes complex data simple. Here is a quick glossary of these vital statistical analysis terms for your reference: While, at this point, this particular step is optional (you will have already gained a wealth of insight and formed a fairly sound strategy by now), creating a data governance roadmap will help your data analysis methods and techniques become successful on a more sustainable basis. At present, neural networks and intelligence alarms are driving the autonomous revolution in the world of data-driven analytics. There are many different methods for collecting data. feature either different subsets of data taken from a larger data set, or different views of a shared data set. WHO Library Cataloguing-in-Publication Data: Implementation research toolkit. }�;�r�BJ�^Ӌi�j�����w9����̙*^g��Ĝ�VD��lTr̃b%2�T�yB^�" The "stem" values are listed down, and the … Home > Presentation of Data Page > Effective Data. The most common way of presentation of data is in the form of statements. To gain a practical understanding, it’s vital that you gain a foundational knowledge of the following two areas: If you understand why a trend, pattern, or event happened through data, you will be able to develop an informed projection of how things may unfold in particular areas of the business. By doing so, you will be able to formulate initiatives or launch campaigns ahead of the curve, beating your competitors to the punch. UNIT 13 DATA PRESENTATION AND DESCRIPTIVE STATISTICS Structure 13.0 Objectives 13.1 Introduction 13.2 Origin of Statistics 13.3 Data Presentation 13.3.1 Data: Types and Collection 13.3.2 Tabular Presentation 13.3.3 Charts and Diagrams for Ungrouped Data 13.3.4 Frequency Distribution 13.3.5 Histogram, Frequency Polygon and Ogives 13.4 Review of Descriptive Statistics 13.4.1 … And when it comes to knowing how to make data analysis, this kind of collaborative approach is essential. By gaining this level of knowledge, you will be able to create campaigns, services, and communications that meet the needs of your prospects on a personal level, growing your audience while boosting customer retention. Designed to provide direct and actionable answers to specific questions, this is one of the world’s most important methods in research, among its other key organizational functions such as retail analytics, e.g. The purpose of data analysis is to make your entire organization more informed and intelligent, and with the right platform or dashboard, this is simpler than you think, as demonstrated by our marketing dashboard. There are many ways to analyze data, but one of the most vital aspects of analytical success in a business context is integrating the right decision support software and technology. Expanding on our previous point, by using technical methods to give your data more shape and meaning, you will be able to provide a platform for wider access to data-driven insights. 2. To explain the key differences between qualitative and quantitative data, here’s a video for your viewing pleasure: Gaining a better understanding of different techniques for data analysis, and methods in quantitative research as well as qualitative insights, will give your information analyzing efforts a more clearly defined direction, so it’s worth taking the time to allow this particular knowledge to sink in. Arguably, the best way to make your data concepts accessible across the organization is through data visualization. <> Want to perform advanced data analysis with a few clicks? Another of the most effective data analysis methods in research, prescriptive data techniques cross over from predictive analysis in the way that it revolves around using patterns or trends to develop responsive, practical business strategies. When you present numbers on your slides, you can expect two types of reactions from your audience. Let us see some ways in which we represent data … ADVERTISEMENTS: In this article we will discuss about the presentation methods of statistical data. To help you understand the potential of analysis, the meaning, and how you can use it to enhance your business practices, we will answer a host of important analytical questions. This works best for simple observations, such as: "When viewed by light microscopy, all of the cells appeared dead." Comparison can be made between values of a variable. It can be used even for non-numerical data. Graphical methods for presenting data 2.1 Introduction We have lookedatways of collectingdataand thencollatingthem intotables. If you know why something happened as well as how it happened, you will be able to pinpoint the exact ways of tackling the issue or challenge. Data tables 3. Before you begin to analyze your data or drill down into any analysis techniques, it’s crucial to sit down collaboratively with all key stakeholders within your organization, decide on your primary campaign or strategic goals, and gain a fundamental understanding of the types of insights that will best benefit your progress or provide you with the level of vision you need to evolve your organization. These techniques are easy to do, but I’ve rarely (if ever) seen them all demonstrated so well in a single talk.The techniques are: x��]�$�Q�����"�n���p0�%��d�����E�"Ey���H q��R��]v��{�VJ������������e�����?m���m�ϦΨ-z�=SZl����_����eS�����2�ev{�|윍+X/ ������?m��=�`�bZ��;��l�eJ���� ;�3��Vk����a�3B��Yg�t���bw_~��R���鸔�����=����}�8/S��ޠ�x��#tm���Z��xh8H\��`���{�vO��i�q�l�,�=�D�?ۋ��� ��&PJ �v�����Å��a�v(�!Zr(��w{�Ic�œ���/�^���ã����_7�ם0 O����V�����~���2��5���j#;d�#�D� �������=c�|~�����H@�� General merits 1. 3. different types of bar charts, depending on the number of variables and the type of information to be displayed. Any stats, facts, figures, or metrics that don’t align with your business goals or fit with your KPI management strategies should be eliminated from the equation. �{1�h�! Our modern information age leads to dynamic and extremely high growth of the data mining world. to produce output (information and insights). Data analysis concepts may come in many forms, but fundamentally, any solid methodology will help to make your business more streamlined, cohesive, insightful and successful than ever before. INTRODUCTION You have already learnt in previous chapters how data are collected and organised. People love to use buzzwords in the tech industry, so check out our list of the top 10 technology buzzwords that you won’t be able to avoid in 2021. Check out what BI trends will be on everyone’s lips and keyboards in 2021. 2.Delivery of Health Care – methods. Neural networks learn from each and every data transaction, meaning that they evolve and advance over time. When it comes to lessons on how to do analysis, drilling down into diagnostic analysis is essential. After giving your data analytics methodology real direction and knowing which questions need answering to extract optimum value from the information available to your organization, you should decide on your most valuable data sources and start collecting your insights – the most fundamental of all data analysis techniques. With so much data and so little time, knowing how to collect, curate, organize, and make sense of all of this potentially business-boosting information can be a minefield – but online data analysis is the solution. One of the most effective data analysis tools and techniques you will ever invest in. (Patton pp. By doing so, you will make your analytical efforts more accessible, digestible, and universal, empowering more people within your organization to use your discoveries to their actionable advantage. Data Transmission Presentation B CSE 3461 / 5461: Computer Networking & Internet Technologies Kannan Srinivasan 08/30/2012 Presentation B 2 Data Communications Model Figure 1.2 Studying Assignment: 3.1-3.4, 4.1 For example, if you’re monitoring supply chain KPIs, you could set an intelligent alarm to trigger when invalid or low-quality data appears. This is one of the primary methods of analyzing data you certainly shouldn’t overlook. Presentation of data refers to an exhibition or putting up data in an attractive and useful manner such that it can be easily interpreted. When data are more quantitative, such as- "7 out of 10 cells were dead", a table is the preferred form. Rosling employs GapMinder to display his statistics. Learn vocabulary, terms, and more with flashcards, games, and other study tools. Tabulation: Tables are devices for presenting data simply from masses of statistical data. There are various methods for data analysis, largely based on two core areas: quantitative data analysis methods and data analysis methods in qualitative research. how the different analytical procedures and methods can be powerful and effective tools for MSHS managers. �~���F(O7.�%�HJnJ �N��3�F+l���P��B��c�>�ڶlŋd�yo*�i�ψ��%+�0�z�i�Ӣb�0�X$x�ag�iFu)�]ڊ���k��������֣�UL�\G��fd-� By drilling down into prescriptive analysis, you will play an active role in the data consumption process by taking well-arranged sets of visual data and using it as a powerful fix to emerging issues in a number of key business areas, including marketing, sales, customer experience, HR, fulfillment, finance, logistics analytics, and others. Data is manipulated to produce results that lead to a resolution of a problem or improvement of an existing situation. v8��*���I=xߩ����C��?ڢ��A_WBbۄ>;�l�@/���w�\�:%s��_F������?4�4eelh8n$D�?�c���X�x* ��f�~%�jg�n��b. The quantities can be easily read in terms of heights of the bars. Manifold table – This table explains more than three characteristics of the data. Edward Tufte popularized a form of display that he calls small multiples, which uses a series of small graphs arranged together within eye span so they can be compared. The three main forms of presentation of data are: 1. Examples Retrieving existing documents and data Formal policy documents, implementation plans and reports

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