Special Report, US, Americas
Posted: 08 Jun 2022 08:35
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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3186602 2903360
5558151 2806844
9491462 529441
3230292 4143775
7383788 7614380
4744067 1935209
6421805 8086764
7885574 3368883
1345168 7123311
3451979 4474300
40000 367996
8201348 9263051
1128660 1240412
8290936 1267019
3518851 8065280
1776739 428415
2760840 5231377
1283485 833138
1553490 5097892
438416 7231988
4246214 9880370
151941 837310
7679228 5222600
3349052 7344613
3204199 9670482
9241812 2677295
7227114 6785897
737374 4384568
130478 9091628
1066814 9199056
5892755 5593667
8249817 9696931
7282734 7075869
8466601 5538731
3938400 5906051
1938218 7259828
3197422 9554609
7412757 3082594
6016072 9559756
3855772 1706439
2818692 145449
417496 6560554
6618397 3215561
8295696 9478321
3266139 8953133
578403 4262086
1151599 3724375
8643716 3108950
5219142 9514595
6249220 1372371
2632858 1629602
4857703 8615236
9928917 3848099
6332223 6438642
4018719 2783616
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