Подправить мой python код который использует tkinter i matlab

Код открывает, обрабатывает и визуализирует три файла с данными. Требования предоставлены ниже, а код который я написала прикрепить не получается (сайт не позволяет). Могу выслать в личку. Код должен быть написан используя Jupiter Notebook. 

Functional requirements

• A means to load the initial data set (which consists of three CSV files) and translate it into a suitable format, either XML, or JSON or an entity relationship structure (not CSV)
• A means to back up the data in this format using either files or a database. This should preserve the current state of the data when the program is closed, and make it available when the program is reopened.
• A process for cleaning and preparing the initial data set, managing inconsistences, errors, missing values and any specific changes required by the client (see below).
• A graphical user interface(s) for interacting with the data that enables the user to:
• Load and clean an initial data set (from the CV format)
• Load and save a prepared data set (from its translated format)
• Use the prepared data set to generate output and visualisations
• Manipulate the range of values used to generate output and visualisations
• Outputs should not include any data from airports that have a ‘type’ ‘closed’
• The ‘type’ column contains information of the type of airport. Extract this out into a new column, one for each category of airport, for:
• all UK(GB) airports, that are , large_airport, medium_airport, small airport
• join each category, large_airport, medium_airport, small airport
• to the communication frequencies ‘ frequency_mhz’ that the airport uses for communication ensuring that each airport in all categories is correctly matched with its communication frequencies.
• The client initially needs information to generate the following and output the results using appropriate representation:
• Produce the mean, mode and median for the ‘frequency_mhz’
• For large_airport
• For frequencies more than 100 mhz
  • The GUI interface provides appropriate feedback to confirm or deny a user’s actions
  • The application manages internal and user-generated errors

• Technical requirements

  • The application is built using Python 3.7.*
  • The application uses one or more of the advanced APIs introduced on this module such as: NumPy, pandas, Seaborn, Matplotlib. It should NOT use alternative APIs for this functionality, however Python core libraries can be used to support where applicable, such as support for a database.
  • The application runs within the anaconda environment using a Jupyter notebook
  • The application or its parts do not run concurrently, do NOT use Python threads

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