EDA with Time Series ( Tesla Stock)

Tesla also produces three energy storage products, the Powerwall home battery, the Powerpack commercial-scale battery, and Megapack, which is designed for utility-scale installations.

In 2016, Tesla became the world’s first vertically-integrated sustainable energy company with the acquisition of SolarCity, the leading provider of solar power systems in the United States, and in 2017 released Solar Roof – a beautiful and affordable energy generation product.

Methodology:

1. Description
2. Objective Statement
3. Prerequisite
4. EDA

Basic sentiment analysis of comments on a youtube video using a builtin python package "TextBlob Sentiment Analyser".

Objective:

The objective is to analyse the stocks of Tesla co and perform data visualization for better understanding.

• Date time index
• Extract Date feature
• Time resampling
  1. Year end Frequency (rule = 'A')
  2. Quaterly start frequency (rule = 'QS')
  3. Business End frequency (rule = 'BA')
  4. Business Quater start frequency (rule = 'BQS')
• visualization
• Rolling

Prerequisite :

pandas package :

$ sudo pip install pandas

pandas_datareader package :

$ sudo pip install pandas_datareader

matplotlib package :

$ sudo pip install matplotlib

Full report of this project: Time-Series

Time Resampling:

* Year end Frequency

* Business Quater start frequency

Visualization:

* Tesla Stock Open Price with 10 days 'Rolling'