Big data helps organisations and also policy makers to develop answers to society’s issues and also to help aid social change e.g monitoring climate changes such as natural disasters to social welfare programs and humanity aiding projects etc. An implication of it would be the cost of implementing big data solutions which makes it challenging for some businesses. Also because it can be biased it means that it can be discriminatory towards certain people of society which is primarily true in the healthcare and financial systems, biased data sets leads to biased results.
Big data visualisation refers to the techniques and tools used to present the large and complex data into such a way that it’s easy to read and understand. Some examples include: Heat maps which is used to show the amount of data points or activities across different regions and categories. Network diagrams helps to visualise relationships and interactions in data for example social connections/data flows etc. Geospatial maps show the mass amount of geographical data with traditional data sets to provide spread apart analysis. Stream graphs show trends and patterns across loads of different categories and regions. Same for the parallel coordinates which also show patterns but also correlations across numerous different variable. Chord diagrams help to identify clusters, patterns, trends etc to help with making intense decisions and also helps with analysis etc. https://www.geeksforgeeks.org/what-is-big-data-visualization/#what-is-big-data-visualizat...
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