https://github.com/dev-saw99/weather-analysis

In this project, I analyzed local and global temperature data and compared the temperature trends where I live to overall global temperature trends.
https://github.com/dev-saw99/weather-analysis

Last synced: 5 months ago
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In this project, I analyzed local and global temperature data and compared the temperature trends where I live to overall global temperature trends.

• Host: GitHub
• URL: https://github.com/dev-saw99/weather-analysis
• Owner: dev-saw99
• Created: 2020-03-30T07:18:53.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2020-03-30T07:51:10.000Z (about 6 years ago)
• Last Synced: 2025-02-06T10:53:26.919Z (over 1 year ago)
• Size: 2.53 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Weather Trends

![image](new-piktochart_30214532-copy.jpg)

**Data Extraction :**

Data was extractedd from udactiy SQL workspace. SQL query used to extract the data from Database are :

```

	SELECT * FROM city_list;

	SELECT * FROM city_data;

	SELECT * FROM global_data; 

```		

 **Microsoft Excel 2010** is used for preparation and analysis of the data.

**Steps :**

+ Read and observe the available data.  

+ Calculate the moving average of global temperature.  

+ Find out your nearest city.  

+ Calculate the moving average of the city temperature.  

+ Join the tables. o Create a Pivot Table.  

+ Create a line chart. 

+ Find Correlation coefficient.  

**Moving Average :**

In statistics, a moving average is a calculation to analyze data points by creating a series of averages of different subsets of the full data set. It is also called a moving mean or rolling mean and is a type of finite impulse response filter.

To calculate the moving average, subset of 10 data points where taken at a time for the calculation.  

Built in function AVERAGE (range) was used to calculate the moving average

**LIne Chart :**

![image](Graph.png)

**Observations :**

+ Global average temperature is much lower compared to average temperature in Ranchi and Ludhiana.

+	In chart we can see that there was sudden decrease in temperature during 1855-1862, there is also noticeable decrease in temperature i.e., 22° C during 1925-1930, but temperature of Ranchi has been consistent in past few decades i.e., approx. 24° C.

+	New York temperature is much lower if compared to my city. 

+	New York temperature is increasing gradually.

+	Global temperature is also increasing gradually.