Data analysis and presentation

A presentation should have a predefined sequence of arguments being made to support the study. This will help in reducing the efforts and increasing efficiency. Form and explain the methodology adapted to carry out a study.

As the name suggests it is a combination of more than one chart type. Different types of charts which can be used for data presentation and analysis. 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.

These also work well for explaining the growth of multiple areas at the same time. Start with stating the Aim of study and the objectives required to reach the aim. These look as shown in the image below: Data collection through primary survey needs to have well thought of sampling methods.

There can even be 3 or more charts depending on the requirement. The methods selected depends on the requirement and the resources available. Change the format of data, i.

These save space and are at times more effective than using two different charts. Analyse trends and relate the information to fulfill the objectives.

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.

It can also be done by making models, presenting on paper or sheets, on maps or by use of boards.

Frame the objectives of the study and make a list of data to be collected and its format. The presentation can be done using software such as Microsoft Powerpoint, Prezi, Google Analytics and other analytic software. Present only the required information and skip the background research to make your point more clear.

Methods of data collectionData Processing Line Chart: There are multiple options available like stacked bar graphs and the option of displaying a change in numerous entities.

Steps for presenting and analyzing data: Do not forget to give credits and references in the end and where ever required. These are best for showing the change in population, i. 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.

Data presentation and analysis

These are one of the most widely used charts for showing the grown of a company over a period. The one shown in the figure below is a combination of line and bar graph.Data analysis powerpoint 1.

Data Analysis Descriptive and Inferential Statistics April 11, Chapter DATA ANALYSIS & PRESENTATION Ludy Mae Nalzaro,BSM,BSN,MN. Qualitative data analysis Tilahun Nigatu Haregu.

Presentation, analysis and interpretation of data Mika Ella Perez. Marketing research ppt. Data analysis and presentation. Scope and purpose Principles Guidelines Quality indicators References.

Scope and purpose. Data analysis is the process of developing answers to questions through the examination and interpretation of data. Data Analysis and Presentation Skills: the PwC Approach from PwC. If you are a PwC Employee, gain access to the PwC Specialization and Courses for free using the instructions on the PwC L&D Spark page or simply search "Coursera" on PwC Spark.

47 CHAPTER 4 Analysis and presentation of data INTRODUCTION This chapter discusses the data analysis and findings from questionnaires completed by. Data presentation and analysis is crucial for any project which involves collection of data which needs to be processed and presented.

Interpretation of Data After analysis of data and the appropriate statistical procedure, the next chapter of the research paper is to present the interpretation of the data, which is the final step of research process.

The three areas: Summary of Findings Conclusions Recommendations.

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Data analysis and presentation
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