Performing Analysis of Meteorological Data

The process of data analysis actually begins long before the collection of raw data. For the analysis purpose I extracted data from https://www.kaggle.com/muthuj7/weather-dataset  . The dataset has hourly temperature recorded for last 10 years starting from 2006-04-01 00:00:00.000 +0200 to 2016-09-09 23:00:00.000 +0200. It corresponds to Finland, a country in the Northern Europe. The data set contains 12 features which can be explored.

The goal of this data analysis is to transform the raw data into information and then convert it into knowledge. For this I made use of Available python libraries Pandas, scikit-learn , matplotlib.

Finally I want to put-forth my conclusion below

The total number of rows and columns are (96453, 12). where 12 features of weather is observed over 96,453 days.

Features

1. Formatted date

2. Summary

3.Precipitation Type

4.Temperature (C)

5.Apparent Temperature (C) [apparent temperature tells you how warm or cool your body thinks the air is]

6.Humidity

7. Wind Speed (km/h)

8.Wind Bearing (degrees)

9. Visibility (km)

10. Loud Cover

11.Pressure (millibars)

12. Daily Summary

Lets discuss about each and every feature with respect to given time.

Temperature(degree Celsius) 

The maximum temperature recorded in complete period is 39.9 degrees, minimum is -21.82 degrees and average temperature is 11.932 degrees. lets see the histogram below.



we can see that around 22,000 days the Temperature is recorded between 5-10 degree Celsius. and 20,000 between 10-15 degree Celsius. and 18,500 days between 15-20 degree Celsius. Therefore there is more probability that temperature is between 5 to 20 degree Celsius in future.


Precipitation type 

In this Country the weather will be either snow or rainy, lets see below histogram. It tells the days are more rainy 

 

Humidity

Humidity is a measure of the amount of water vapor in the air. it is Normalized to 1 in our analysis. we can clearly see that for most of the days the humidity is above 0.7, it tells us most of the times the air contains water. The maximum recorded humidity is 1 and minimum is 0.



Apparent Temperature

Apparent temperature tells you how warm or cool your body thinks the air is. The maximum apparent temperature is 39.34, while minimum is -27.4 degree Celsius








Wind Speed (km/h)

A fundamental atmospheric quantity caused by air moving from high to low pressure, usually due to changes in temperature. The maximum recorded wind speed recorded is  63.85 km/hr. and lowest recorded is 0 km/hr. 



It can clearly seen from Histogram that the windspeed is widely spread across 0-15 km/hr.



Visibility (km)


The maximum visible distance noted till now is 16.1 km, lowest visible distance is 0 km. The average visible distance on complete data is 10.362 km. we can clearly see maximum days the visible distance is around 10-11 km


Pressure (millibars)

Millibars (mbar) and atmospheres  are two common units of pressure. You can use either of two conversion formulas to convert between millibars and atmospheres. 1 millibar = 9.869x10 -4 atm . Lets analyze below histogram
We can see mostly everyday the pressure is scattered nearly around 1000 millibars. However the maximum pressure recorded is 1046.38. The average pressure is  1003.15 millibars for entire range of days.


These Information can be used to convert into Decision making for future purposes.





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