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PREDICTIVE ANALYSIS IN PREVENTING MISHAPS

-Summary of the article based on the transcript of Dr Data Show episode, “Five Ways Your Safety Depends on Machine Learning “ Predictive analysis is a technique of using existing data to predict what could happen in future. One application of this technique is in using predictive analysis as a norm in safety standards by guiding…
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Predictive analysis and its applications

Predictive Analytics Predictive analytics is an umbrella term. It refers to all those processes which we are using to predict future by data. Predictive analysis uses several techniques which includes data mining, Statistics modeling, machine learning and Artificial Intelligence. There are following processes which involves Predictive analysis Define project : Define the project outcomes, deliverable, scope…
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Data Viz Principles

Good data visualization is more about what you mustn’t do than what you must do because it’s a creative endeavor that you wouldn’t want to restrain too much. These are common mistakes you must avoid… The wrong type of graph: The specific type doesn’t match your use case adequately. Using cumulative graphs when the data…
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A picture is worth a thousand words

An average person can retain 10% of what they hear when tested after 72 hours. However, when same information is shown visually they retain it up to 65%. This statistic is based on a 2008 study in the content Brain Rule Rundown. Good data visualization should engage the audience as well as improve the depth…
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Aiding the eye is important

As much as the visual needs to be expressive of the data story, it is also important to use the right combination of color schemes, fonts and overall design to make the visual eye friendly. It helps to think of your visual being read by complete novices who know nothing of data visualization, or data…
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Clustering: Grouping Data to Single Out Results

The terminology of “data mining” is sort of a red herring as the quintessential focus is to mine relevant patterns and information from that data, rather than mine the data itself. This process of data mining is carried out in 3 stages: Pre-processing Data-mining Interpretation/Validation The above template is valid for most of the data…
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Data is everywhere, lets make a good story out of it

With Big data revolution since last decade, the data is being weighed in terms of Peta-bytes from Megabytes. Huge amount of data brings organizations into jeopardy as to how to build story out of it. With tools like Tableau, powerBI, and many visualization libraries in programming, focus has now been shifted to reporting and story…
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Why Don’t You Explain This To Me Like I’m 5

Ironically, many of the most important steps to a compelling data viz happens before you ever add lines and colors to your canvas. The most important questions to ask yourself before creating a visualization is “why?” followed quickly by “so what?”  More often than not, you will be creating these visualizations to compel some sort…
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🏆Data Viz Best Practices

Think of children’s story books, what catches your attention (or used to)? Now think of a data visual (tableau, Power BI, D3.js, etc.), would you expect a similar level of excitement and curiosity? I personally can draw similarities between the two. Creativity is one to begin with. And each of the following is probably a…
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The golden rule of data visualisation

The most often situation when we use data visualisation is to present some information to a manager to support taking some decision. With this article I will share probably the most crucial and yet most neglected rule when data visualisation is done in this context. The rule is very short and simple. It requires some…
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