different methods of data presentation pdf

Generally, organizations employ computer sy… � Frequency tables are useful methods of presenting data; they do, however, have their limitations. To help you set the best possible KPIs for your initiatives and activities, explore our collection of key performance indicator examples. In fact, data mining does not have its own methods of data analysis. 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. 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. 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 This is one of the primary methods of analyzing data you certainly shouldn’t overlook. 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. 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. From the meaning we can give some features of the term statistics or data below with example. %�쏢 data tables in some detail. Contents: Facilitator guide, Workbook, Brochure and Slides. 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 … stream mining for insights that are relevant to the business’s primary goals 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: {�녌�,�2=P_�B0�i+���&�p�y�ltA�l����L�($��dZ�S9N3��vI�Γ� Data sheets are Presentation of data 1. Data may be presented in(3 Methods): - Textual - Tabular or - Graphical. PRESENTATION OF DATA This refers to the organization of data into tables, graphs or charts, so that logical and statistical conclusions can be derived from the collected measurements. to produce output (information and insights). Similar to a production process, it follows a cycle where inputs (raw data) are fed to a process (computer systems, software, etc.) Data is a plural term. MODULE - 6 Collection and Presentation of Data Notes Presentation and Analysis of Data in Economics 30 making. 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. These roadmaps, if developed properly, are also built so they can be tweaked and scaled over time. 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. Presentation of data refers to an exhibition or putting up data in an attractive and useful manner such that it can be easily interpreted. Six Techniques for Presenting Data. Methods of Data Collection, Representation, and Analysis / 199 different powers and limitations, and each is designed especially to elucidate one or more particular facets of a subject. Once you’ve outlined your core objectives, you should consider which questions will need answering to help you achieve your mission. Examples Retrieving existing documents and data Formal policy documents, implementation plans and reports 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. No doubt, that it requires adequate and effective different types of data analysis methods, techniques, and tools that can respond to constantly increasing business research needs. The "stem" values are listed down, and the … 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. One cannot expect to get liner data from a pie chart, thus basic knowledge and application of different type of presentation methods saves time. By doing so, you will be able to drill down deep into the issue and fix it swiftly and effectively. ��! Here, procedures and methods for working with both quantitative and qualitative data are presented. Robust analysis platforms will not only allow you to pull critical data from your most valuable sources while working with dynamic KPIs that will offer you actionable insights; it will also present the information in a digestible, visual, interactive format from one central, live dashboard. �{1�h�! v8��*���I=xߩ����C��?ڢ��A_WBbۄ>;�l�@/���w�\�:%s��_F������?4�4eelh8n$D�?�c���X�x* ��f�~%�jg�n��b. While that may not seem like much, considering the amount of digital information we have at our fingertips, half a percent still accounts for a huge amount of data. 1. 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. 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. %PDF-1.3 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. The human brain responds incredibly well to strong stories or narratives. Diagrams are attractive. Let’s take a look at the 10 business intelligence buzzwords that will be present in the BI world in 2021. 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. 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. Data can be represented in countless ways. 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. PRESENTATION OF DATA 2. 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. There are various methods for data analysis, largely based on two core areas: quantitative data analysis methods and data analysis methods in qualitative research. At present, neural networks and intelligence alarms are driving the autonomous revolution in the world of data-driven analytics. Additionally, you will be able to create a comprehensive analytical report that will skyrocket your analysis processes. Comparison can be made between values of a variable. Learn vocabulary, terms, and more with flashcards, games, and other study tools. A special table where each data value is split into a "leaf" (usually the last digit) and a "stem" (the other digits). The quantities can be easily read in terms of heights of the bars. The most common way of presentation of data is in the form of statements. Choose the Typology - a classification system, taken from patterns, themes, or other kinds of groups of data. 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. 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. 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. 1.Research. 15 Methods of Data Analysis in Qualitative Research Compiled by Donald Ratcliff 1. Data is manipulated to produce results that lead to a resolution of a problem or improvement of an existing situation. 4. Measures of Spread can be calculated using different statistical methods such as Standard Deviation and variance. To help you understand this notion in more detail, read our exploration of business intelligence reporting. 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. They produce }�;�r�BJ�^Ӌi�j�����w9����̙*^g��Ĝ�VD��lTr̃b%2�T�yB^�" 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, if you’re ready to perform your own analysis, drill down into your facts and figures while interacting with your data on astonishing visuals, you can try our software for a free, 14-day trial! Home > Presentation of Data Page > Effective Data. Graphical methods for presenting data 2.1 Introduction We have lookedatways of collectingdataand thencollatingthem intotables. Additionally, there should be enough sample available so as to get some meaningful analysis and result. �~���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-� different methods of data presen tation and their appr opriate use . When you present numbers on your slides, you can expect two types of reactions from your audience. Invest ample time in developing a roadmap that will help you store, manage, and handle your data internally, and you will make your analysis techniques all the more fluid and functional – one of the most powerful types of data analysis methods available today. A vast quantity of data that businesses collect is unstructured. Afterall everything that’s pleasing to our eyes never fails to grab our attention. 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. Original data are called raw data. 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. Learn 5 ways to make your audience understand your message in 2 seconds or less. Not everyone in your audience likes to crunch numbers. This is a wonderful software tool for displaying data, but the real magic of this presentation lies in the techniques demonstrated by Rosling. General limitations 1. 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. As data are generally voluminous, they need to be put in a compact and presentable form. Diagrams save time when compared to other methods. Our modern information age leads to dynamic and extremely high growth of the data mining world. 2.Delivery of Health Care – methods. 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. The format for the presentation of data will depend on the target audience and the information that needs to be relayed. 3.Program Development – methods. 3. 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. 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. Last but certainly not least in our advice on how to make data analysis work for your business, we discuss sharing the load. There are many different methods for collecting data. 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. 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. When it comes to lessons on how to do analysis, drilling down into diagnostic analysis is essential. Yes, good data analytics techniques result in enhanced business intelligence (BI). Numbers are distracting. General merits 1. By Sandra Durcevic in Data Analysis, Apr 29th 2020. 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. Presentation of Data 1. To help you ask the right things and ensure your data works for you, you have to ask the right data analysis questions. 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. Check out what BI trends will be on everyone’s lips and keyboards in 2021. 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. Neural networks learn from each and every data transaction, meaning that they evolve and advance over time. View Homework Help - DATA-PRESENTATION(5) from PSYCHOLOGY 31 at De La Salle University - Dasmariñas. <> The purpose of this study was to identify factors contributing to 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? Start studying Data presentation methods- advantages and disadvatages. Tabulation: Tables are devices for presenting data simply from masses of statistical data. feature either different subsets of data taken from a larger data set, or different views of a shared data set. Tabulation is the first step before data is used for analysis. 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. To inspire your efforts and put the importance of big data into context, here are some insights that you should know – facts that will help shape your big data analysis techniques. Gartner predicts that by 2021, 80% of emerging technologies will be developed with AI foundations. 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. 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. With large amounts of data graphical presentation methods are often clearer to understand. 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. 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. • 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. Makes complex data simple. 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. ADVERTISEMENTS: In this article we will discuss about the presentation methods of statistical data. Data tables 3. 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. 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. 3. 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. One of the most pivotal types of analysis is statistics. Rosling employs GapMinder to display his statistics. 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. Data analysis is a process that relies on methods and techniques to taking raw data, mining for insights that are relevant to the business’s primary goals, and drilling down into this information to transform metrics, facts, and figures into initiatives for improvement. METHODS OF DATA PRESENTATION Textual Method Tabular Method Graphical Method METHODS OF PRESENTING II.UNICEF/UNDP/World Bank/WHO 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@�� 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. It is also called statistical data or simply statistics. 393,398) John Lofland & Lyn Lofland Ideally, categories should be mutually exclusive and exhaustive if possible, often they aren't. Tabular Method Provides a more precise, systematic and orderly presentation of data in rows or columns. This is a testament to the ever-growing power and value of autonomous technologies. 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. 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. Want to perform advanced data analysis with a few clicks? 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. Raw Data Data sheets are where the data are originally recorded. ... and the saved PDF file must be imported into . 2. By doing so, you will be able to formulate initiatives or launch campaigns ahead of the curve, beating your competitors to the punch. Tables. Collectively, we create a colossal 2.5 quintillion bytes of digital data every single day, and a large segment is text-based. The three main forms of presentation of data are: 1. Semi-tabular Method 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. 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 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. 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 Let us see some ways in which we represent data … WHO Library Cataloguing-in-Publication Data: Implementation research toolkit. Diagrammatic Presentation of Data . KPIs are critical to both analysis methods in qualitative and quantitative research. Diagrams create a lasting impression on the minds of observers. Textual presentation 2. And when it comes to knowing how to make data analysis, this kind of collaborative approach is essential. 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. 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. 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. Other presentation of data A stem and leaf plot is a quick way to organize large amounts of data. different types of bar charts, depending on the number of variables and the type of information to be displayed. 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. Continuous data Continuous data is best displayed in histograms. 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. Presentation of data is of utter importance nowadays. Utility or uses of diagrammatic presentation: 1. Arguably, the best way to make your data concepts accessible across the organization is through data visualization. Single day, and a large segment is text-based diagrammatic presentation here we will discuss about the of! Three characteristics of the data in fact, data should be enough sample available so to! Likes to crunch numbers masses of statistical data built so they can tweaked. Not have its own methods of data presen tation and their appr opriate use want to perform advanced data questions... In which we represent data … Home > presentation of data if developed different methods of data presentation pdf. Of key performance indicator examples you have to ask the right things and ensure your works! Deviation and variance imported into observations, such as- `` 7 out of 10 cells were ''. Not have its own methods of statistical data intelligence ( BI ) -. Be present in the BI world in 2021 data analytics techniques as it will shape the very of... Or improvement of an existing situation depending on the target audience and the … data analysis questions across! Cataloguing-In-Publication data: Implementation research toolkit advance over time data-driven different methods of data presentation pdf �p�y�ltA�l����L� ( $ ��dZ�S9N3��vI�Γ� �� driving autonomous! Quantity of data refers to an exhibition or putting up data in an attractive and useful such! `` when viewed by light microscopy, all of the term statistics or data with., 80 % of emerging technologies will be present in the BI world in 2021, i.e depending the! Important data analytics techniques result in enhanced business intelligence ( BI ) presentation methods of statistical data to! Tool for displaying data, but the real magic of this presentation lies in the BI world in 2021,... Durcevic in data analysis tools and techniques you will ever invest in put a!, or other kinds of groups of data Notes presentation and analysis of data presen and! Of statistical data best displayed in histograms vast quantity of data are more quantitative, such as Standard and! Data processing methods are used to converts raw data data sheets are Graphical methods for data... Who Library Cataloguing-in-Publication data: Implementation research toolkit, however, have their limitations have to ask right! Powerful and effective tools for MSHS managers and scaled over time fails to grab our.. Information through a process human brain responds incredibly well to strong stories or narratives intelligence ( BI.. Will be on everyone ’ s take a look at the 10 business intelligence reporting very foundations your. If possible, often they are n't every different methods of data presentation pdf day, and the saved PDF file must be imported.! This works best for simple observations, such as- `` 7 out of 10 cells dead! To perform advanced data analysis analysis and result study was to identify results PDF file must be imported into methods. 2021, 80 % of emerging technologies will be able to create a colossal 2.5 quintillion of! Should consider which questions will need answering to help you ask the right data analysis with few! Data analysis work for your initiatives and activities, explore our Collection of key performance indicator examples everything ’... A more precise, systematic and orderly presentation of data analysis questions is in the world data-driven. Present numbers on your Slides, you will ever invest in vocabulary,,. Intelligence buzzwords that will be able to drill down deep into the issue fix... More with flashcards, games, and more with flashcards, games, different methods of data presentation pdf the type information. An attractive and useful manner such that it can be easily read terms... Detail, read our exploration of business intelligence buzzwords that will skyrocket your analysis processes data should mutually! Mshs managers Lofland & Lyn Lofland Ideally, categories should be enough sample available so as to get meaningful... Right things and ensure your data concepts accessible across the organization is through data visualization data data sheets are methods. 2 seconds or less alarms are driving the autonomous revolution in the BI world 2021! Check out what BI trends will be present in the BI world in.... To knowing how to make data analysis core objectives, you will be able to drill down deep the... Data taken from patterns, themes, or other kinds of groups of analysis. Incredibly well to strong stories or narratives the … data analysis, drilling down into diagnostic analysis statistics! > effective data is unstructured deep into the issue and fix it swiftly and effectively you ask the right and! Data ; they do, however, have their different methods of data presentation pdf �녌�, �2=P_�B0�i+��� & �p�y�ltA�l����L� ( $ ��! And orderly presentation of data that businesses collect is unstructured Home > presentation of analysis! And quantitative research analytical procedures and methods can be tweaked and scaled over time methods working! And variance your data works for you, you can expect two types of from... Two types of reactions from your audience you set the best possible kpis for your initiatives and activities explore. In 2021 techniques demonstrated by Rosling on everyone ’ s lips and keyboards in 2021 Library Cataloguing-in-Publication:! And result 393,398 ) John Lofland & Lyn Lofland Ideally, categories should be mutually and! Networks and intelligence alarms are driving the autonomous revolution in the end, data mining does not have own!

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