My-Little-Pony-Script

The goal of this Project is to develop python scripts and code to conduct a complete data analysis project on a show called My Little Pony.

Data

Data used for this project to analyse the scripts of the show

• for this project I used "clean_dialog.csv"
  

Data used for this project to analyse the non-dictionary words

• for this project I used the "words_alpha.txt" file
  

All data should be saved to the "data/" directory

Goal

Collecting four main components for the project

- Verbosity

• An average of the number of dialogues spoken by a specific pony

- Mentions

• The number of times a specific pony was mentioned by other ponies

- Follow_on_comments

• The fraction of times each pony has a line that DIRECTLY follows the others pony’s line

- Non_dictionary_words

• a list of the 5 non-dictionary words used most often by each Pony
  for example: “twilight”: [ “huh”, “ugh”, “awwww” , “wheee”, “wha”]

- Unittests

• Writing unittest spread across verbosity, mentions, follow-on-comments, and nondictionary words to confirm they give out the desired output.

Language and Libraries used

- Python3

- JSON

- Pandas

to install pandas please run: $ pip install pandas in the command line

To run the file:

• Import all the data to the data/ directory
• Add the analysis.py file to the script directory
• Add the files test.py, follow.py, jsonfile.py, mentions.py, non_dictionary_words.py and the verbosity.py file to the src/hw3 directory
• Add the analysis_tester.py file to the src/hw3/tests directory

From the scripts folder run the following command on the command line

$ python3 analysis.py data/clean_dialog.csv -o [optional_json_file_for_output_in_json]

Ending Notes

All Copyright of the data still belongs to the sites I imported the data from