In order to compete for the limited attention of users immersed in a wide variety of interests gaming, reading, socialising we need to present the data in a brief and concise manner. When visualizing data it is important to understand the level of data literacy of our users.
API of the Week: Data Source Handbook
As beautiful and sophisticated as they may be, complex diagrams and interactive applications might not meaningfully communicate to our users based on their previous experiences with interpreting data. A good visualization will speak to the user in a language they can understand, and bring forth a story that they can easily connect with. We have engaged over 10, Nigerians over the budget and we profile them into three categories to ensure that optimum value is delivered.
The categories are briefly explained below:. Occasional Users.
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These are users who want information simply and quickly. They are interested in getting a picture of the data, not detailed analytics. We can engage them via Tweets or interactive graphics. Active Users. Users who stimulate discussion, and use the data to increase their knowledge of a given area or challenge the assumptions of the data.
For these users we want to provide feedback mechanisms and the possibility to share insights with their peers via social networks. Data Hogs : These users want raw data for visualization or analysis. We simply give them the data for their purposes. Stimulating Discussion Around Current Trends. BudgIT keeps track of online and offline discussions and seeks to provide data around these topics. For example, with the fuel strikes in January there was constant agitation among the protesters on the need to reinstate fuel subsidies and reduce extravagant and unnecessary public expenditure.
BudgIT tracked the discussion via social media and in 36 busy hours built an app that allows citizens to reorganise the Nigerian budget.
Public Data Goes Social | yguhuzyz.ga
Good Feedback Mechanisms. We engage with users through discussion channels and social media. Many users want to know about stories behind the data and many ask for our opinion.
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We make sure that our responses only explain the facts behind the data and our not biased by our personal or political views. We need to keep feedback channels open, to actively respond to comments and to engage the users creatively to ensure the community built around the data is sustained. Make it Local. For a dataset targeted at a particular group, BudgIT aims to localise its content and to promote a channel of discussion that connects to the needs and interests of particular groups of users. After making expenditure data available on yourbudgit.
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Researchers can explore methods concepts to help them design research projects, understand particular methods or identify a new method, conduct their research, and write up their findings. Skip to main content.
Download flyer Recommend to Library. Description Contents Preview This book provides an excellent reference guide to basic theoretical arguments, practical quantitative techniques and the methodologies that the majority of social science researchers are likely to require for postgraduate study and beyond. Diagrams and tables are used effectively throughout the text and snippets of sample code provide useful additions to chapters for those of us who are less familiar with statistical software packages.
Where equations are used to they are explained and documented with careful explanation of statistical notation. Each of the chapters in the book references a representative range of key authors and seminal texts, making it an ideal springboard for further and more advanced reading… the book provides an excellent reference of quantitative methodology and would provide a very useful addition to the shelves of researches and university libraries.
https://gitingmisempwobb.cf Each chapter offers a comprehensive review and an extensive bibliography and will be invaluable to researchers wanting to update themselves about modern developments' - Professor Nigel Gilbert, Pro Vice-Chancellor and Professor of Sociology, University of Surrey. Melissa A Hardy and Alan Bryman.
Common Threads among Techniques of Data Analysis. The Utility of Dummy Variables.
Fixed- and Random-Effects Models. Preview this book.
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- Baby Shoes: A Picture Book (Mama Youngs Picture Books 1).
- Lovesickness and Gender in Early Modern English Literature;
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