Python Plotly Dash CSV Bank Statement Analysis Tool + GitHub Repo + Code Review

Demonstrating how to use the csv bank statement analyser and explaining the code base.

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Time Stamps
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00:00 - Introduction
02:19 - Interface Demonstration
06:17 - CSV Data Structure

Code Review

09:03 - suppress callback exceptions and multi page dash apps
14:25 - verify_upload()
14:59 - bank_csv_to_data_frame()
16:10 - a note regarding refactoring code
17:50 - analytics layout
21:48 - analytics main callback functions
24:19 - using the trigger id to select graph type
24:38 - determine_figure_type()
25:25 - filter_by_date_range()
25:51 - calculating "Top" lists
26:13 - calculate_top_repeat_transactions()
26:20 - sort_by_duplicates_with_totals()
26:52 - calculate_top_single_payments()
27:16 - data_frame_to_table()
28:09 - apply_filters_to_dataframe()
28:21 - update_json_output()
28:37 - _format_json_output()
30:22 - calculate_total()
32:01 - new_graph()
33:03 - refactoring overview
36:45 - fixing an error in my code

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