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explore_weather_trends's Introduction

Explore_Weather_Trends

  • In this project from Udacity course of Data Analysis Nanodgree, we will analyzed local and global temperature data and compare the temperature trends where you live to overall global temperature trends.

Extract data

• The SQL query used to extract your city data following by code:

select year, avg_temp
from city_data
where city = 'write your city here'

• The SQL query used to extract global data following by code:

select year, avg_temp
from global_data

• Download both extracted data and open CSV file by excel Microsoft application put each one separating on sheet.

Manipulate data

Moving averages are calculated to used in the line chart.

Clear data visualization

• Creating a line chart

  • Click the Insert tab, then click Line.
  • Select the data to plot in chart.
  • Select line chart style.

• Making title, and clear legend

Interpret a data visualization

Writing our accurate observations about their provided data visualization.

License

Licensed under the MIT License

explore_weather_trends's People

Contributors

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