06-08-2022, 07:51 PM
Before diving into the seven essential types of data analysis methods, it is important that we go over really fast through the main analysis categories. Starting with the category of descriptive analysis up to prescriptive analysis, the complexity and effort of data evaluation increases, but also the added value for the company. Descriptive analysis - What happened. The descriptive analysis method is the starting point to any analytic process, and it aims to answer the question of what happened? It does this by ordering, manipulating, and interpreting raw data from various sources to turn it into valuable insights to your business. Performing descriptive analysis is essential, as it allows us to present our data in a meaningful way. Although it is relevant to mention that this analysis on its own will not allow you to predict future outcomes or tell you the answer to questions like why something happened, but it will leave your data organized and ready to conduct further analysis.|Lightning deaths in the United States have dropped significantly since the 1940s; that trend's driven by a number of factors. Across the United States, lightning has killed 15 people so far in 2017, according to National Weather Service data. While those deaths are tragic, that's fewer than half the 38 lightning deaths that the nation had in 2016 - and we're on track to have the lowest number of recorded lightning fatalities since 1940, the earliest year for which the federal government has data. If you look at those historical numbers, though, what's most startling is the long-term decrease in lightning deaths over that period. In 1943, the most lethal year on record, 432 people were killed by lightning, and throughout the 1940s, an average of 329.3 people died each year. But in the 1950s and 1960s, the rate started dropping dramatically, and steadily kept decreasing to the point where over the 2010s, the average annual fatality rate is about a tenth of what it was during the 1940s. One major reason is urbanization.
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