📜  bassie en adriaan - Python (1)

📅  最后修改于: 2023-12-03 15:29:36.146000             🧑  作者: Mango

Bassie en Adriaan - Python

Introduction

Bassie en Adriaan, also known as Bassie and Adriaan, is a Dutch children's television series that aired in the 1980s and 1990s. The series, created by the clown duo Bas van Toor and Aad van Toor, follows the adventures of Bassie and Adriaan, who travel around the world solving mysteries and crimes.

In this project, we will create a Python program that analyzes the dialogues of Bassie and Adriaan, and generates statistics and visualizations based on the data.

Technologies Used
  • Python 3.9.1
  • Pandas
  • Numpy
  • Matplotlib
Dataset

The dataset used in this project is a collection of scripts from the Bassie en Adriaan television series. The dataset includes the scripts from all the episodes, which are available in a text file format.

The data can be downloaded from here.

Program Functionality

The Python program created in this project will perform the following tasks:

  • Read the data from the dataset.
  • Clean and preprocess the data.
  • Analyze the dialogues of Bassie and Adriaan.
  • Generate statistics and visualizations based on the data.

The program will generate the following statistics:

  • Percentage of spoken sentences by Bassie and Adriaan.
  • Most common words spoken by Bassie and Adriaan.
  • Number of times Bassie and Adriaan said each word.
  • Total number of words spoken by Bassie and Adriaan.

The program will also generate the following visualizations:

  • A wordcloud of the most common words spoken by Bassie and Adriaan.
  • A bar chart of the number of times Bassie and Adriaan said each word.
Conclusion

In conclusion, this Python program analyzes the dialogues of the Bassie en Adriaan television series and generates statistics and visualizations based on the data. This project showcases the power of Python and its various libraries, such as Pandas, Numpy, and Matplotlib. Feel free to modify this program to suit your needs or analyze dialogues from other television series.