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12 changes: 12 additions & 0 deletions your-code/.ipynb_checkpoints/README_API-checkpoint.md
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![IronHack Logo](https://s3-eu-west-1.amazonaws.com/ih-materials/uploads/upload_d5c5793015fec3be28a63c4fa3dd4d55.png)

# Project: API

## Overview
I chose the [Carbon Intensity API](https://carbonintensity.org.uk/). This API provides a trend of CO2 emissions related to electricity only in the UK. The demand and generation by fuel type (gas, coal, wind, nuclear, solar) for each region is a forecast which updates every 30-min.

![api](https://dl.dropboxusercontent.com/s/r7e9pilhlwq9ezy/API1.png?dl=0)

## Challenge

The main challenge was to put together the raw data from the API web. It was a demanding task as I had to do several 'for's to unravel the information. In addittion, I managed to keep the info request from all 17 regions of the UK.
10 changes: 10 additions & 0 deletions your-code/.ipynb_checkpoints/README_webScraping-checkpoint.md
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![IronHack Logo](https://s3-eu-west-1.amazonaws.com/ih-materials/uploads/upload_d5c5793015fec3be28a63c4fa3dd4d55.png)

# Project: Web Scraping

## Overview
I came up with the idea of a handy data frame with the main trails in Mexico, because I am a mountain lover. So, I used the [Alltrails](https://www.alltrails.com/es/mexico) page to extract the information.

![ws](https://dl.dropboxusercontent.com/s/s6m069ip4geq500/wedscrap.png?dl=0)

All details are shown in the jupyter notebook, as well as the further support I will requiare from the TAs ;)
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