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Steps for presenting and analyzing data: Frame the objectives of the study and make a list of data to be collected and its format. Change the format of data, i. Analyse trends and relate the information to fulfill the objectives. A presentation should have a predefined sequence of arguments being made to support the study.
Start with stating the Aim of study and the objectives required to reach the aim. Break the objectives in multiple parts and make a list of data to be collected, the sources of data, form in which data exist and needs to be obtained, conducting a primary survey for information which does not exist.
Form and explain the methodology adapted to carry out a study. Data collection through primary survey needs to have well thought of sampling methods. This will help in reducing the efforts and increasing efficiency.
Present only the required information and skip the background research to make your point more clear. Do not forget to give credits and references in the end and where ever required. The presentation can be done using software such as Microsoft Powerpoint, Prezi, Google Analytics and other analytic software.
It can also be done by making models, presenting on paper or sheets, on maps or by use of boards. The methods selected depends on the requirement and the resources available. The data thus obtained from multiple sources like Census department, Economics and Statistics Department, Election Commission, Water Board, Municipal Bodies, Economic surveys, Website feedbacks, scientific research, etc.
Data is also required to forecast and estimate the change in the requirement of various resources and thus provide them accordingly.
Phasing and prioritization form another important part for the effective implementation of the proposals. Different types of charts which can be used for data presentation and analysis.
These are one of the most widely used charts for showing the grown of a company over a period. There are multiple options available like stacked bar graphs and the option of displaying a change in numerous entities. These look as shown in the image below: Methods of data collectionData Processing Line Chart: These are best for showing the change in population, i.
These also work well for explaining the growth of multiple areas at the same time. As the name suggests it is a combination of more than one chart type. The one shown in the figure below is a combination of line and bar graph. These save space and are at times more effective than using two different charts.
There can even be 3 or more charts depending on the requirement.Data analysis helps people in understanding the results of surveys conducted, makes use of already existing studies to obtain new results.
Helps to validate the existing research or to add/expand the current research. Quantitative Analysis: General, Steady and Reliable. For the quantitative analysis, the researcher needs to process the received data using the detailed set of classification and rules, before that the futures are classified, that helps to create the statistical models, reflecting the outcomes of the observation.
A farm economic analysis in different dairy production systems in Bangladesh M M Uddin, M N Sultana*, O A Ndambi*, T Hemme* and K J Peters Department of Animal Breeding in the Tropics and Sub-tropics, Humboldt University of Berlin, Germany.
Sources of information are often considered primary, secondary, or tertiary depending on their originality and proximity of when it was created. The Duchess visited Nursery, met parents, spent time on the farm and talked to Secondary pupils about mental health.
Evidence-based analysis and rigorous evaluation are critical tools to promote effective policies and strong management in the Federal nutrition assistance programs. The Office of Policy Support (OPS) leads the development and execution of FNS's study and evaluation agenda.
This web page is intended to provide access to OPS's work to program partners, other stakeholders, and the general public.