One of the best features of Statista is its easy-to-navigate interface and its automatic visualization features. Meant for businesses and academics, Statista makes it easy to find reliable market data based on industry, topic, or country. Statista is a portal of statistics, studies, and forecasts focused on market research and opinion polling. A Premium version is available for $49/month. Always ask yourself: Is this data original, reliable, current, and comprehensive? The following resources will point you in the direction of some credible sources to get you started, but don’t forget to fact-check everything you come across.
When looking for data, it’s important to find numbers that not only look good, but are also credible and reliable. 17 Data Visualization Resources You Should Bookmark Resources for Uncovering Credible Data Below you'll find the tools you need to source credible data, and to create some stunning visualizations. To help, we put together the following list of resources.
(After all, pictures "say 1,000 words," right?) Those consider of any type of graphic content that visually communicates data to the viewer. There's a term for that: data visualizations.
#Best data visualization tools 2017 how to#
That said, if you’re not a data scientist yourself, it can be difficult to know where to look for data and how to best present that data, once you’ve got it.Īnd sometimes, the best way to present the data is visually. And, it helps provide support for your claims. Using data helps enhance your arguments by making your writing more compelling. Information Systems, Social aspects Research subject Information systems Identifiers URN: urn:nbn:se:ltu:diva-61861 Scopus ID: 2-s2.0-85032360067 OAI: oai:DiVA.Whether you’re writing a blog post, putting together a presentation, or working on a full-length report, using data in your content marketing strategy is a must. 59-68īig data analytics, big data visualization tools, selection procedure, Delphi method National Category Place, publisher, year, edition, pagesInstitute of Electrical and Electronics Engineers (IEEE), 2017. An exploratory case study was conducted on a multi-national telecommunication company in order to test the usability of the model, which attained positive feedback results. Such criteria belong to six main types: technical, visualization, collaboration & mobility, operational, data governance and managerial requirements. A total number of 36 criteria have been agreed upon by a number of 14 big data experts. The results of this research revealed a number of criteria elements, which formulate the best-practice model for big data visualization tool selection. The use of this model would help organizations in selecting and obtaining the appropriate visualization tool. Accordingly, a three phases (literature review, Delphi method, and exploratory case study) research process is conducted to propose a big data visualization tool best-practice selection model. Consequently, this research is setout to fill-in this gap. However, little research has been conducted in order to study how big data visualization tools could be selected.
Many studies, both academic and industrial, have been conducted in order to investigate visualization tools. With the support of interactive visual interfaces, methods and techniques for analyzing big data are applied to facilitate the knowledge discovery process and provide domain relevant insights.
59-68 Conference paper, Published paper (Refereed) Abstract īig data visualization tools are analytical tools used by organizations for the purpose of discovering knowledge. Number of Authors: 2 2017 (English) In: IADIS Information Systems Conference (IS 2017) / Powell P.,Rodrigues L.,Nunes M.B.,Isaias P., Institute of Electrical and Electronics Engineers (IEEE), 2017, p.
0 kommentar(er)
