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Docs: Track D BYOD hub + GnuCash tutorial + demo downloads
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‎docs/source/workbook/_downloads/gnucash_demo/gnucash_demo_daily_totals.csv‎

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date,revenue_proxy,expenses_proxy
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2026-01-03,250.0,0.0
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2026-01-05,300.0,20.0
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2026-01-07,180.0,0.0
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2026-01-09,100.0,0.0
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2026-01-02,0.0,120.0
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2026-01-04,0.0,800.0
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2026-01-06,0.0,50.0

‎docs/source/workbook/_downloads/gnucash_demo/gnucash_demo_export_complex.csv‎

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Date,Transaction ID,Number,Description,Full Account Name,Account Name,Amount (Num.)
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2026-01-01,TXN-0001,,Owner investment,Assets:Current Assets:Checking,Checking,5000.00
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2026-01-01,TXN-0001,,Owner investment,Equity:Owner Capital,Owner Capital,5000.00
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2026-01-02,TXN-0002,,Buy shipping supplies,Expenses:Supplies,Supplies,120.00
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2026-01-02,TXN-0002,,Buy shipping supplies,Assets:Current Assets:Checking,Checking,-120.00
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2026-01-03,TXN-0003,,Online sale (order #1001),Assets:Current Assets:Checking,Checking,250.00
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2026-01-03,TXN-0003,,Online sale (order #1001),Income:Sales,Sales,250.00
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2026-01-04,TXN-0004,,Rent payment,Expenses:Rent,Rent,800.00
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2026-01-04,TXN-0004,,Rent payment,Assets:Current Assets:Checking,Checking,-800.00
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2026-01-05,TXN-0005,,Online sale (order #1002),Assets:Current Assets:Checking,Checking,300.00
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2026-01-05,TXN-0005,,Online sale (order #1002),Income:Sales,Sales,300.00
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2026-01-05,TXN-0006,,Ship order #1001,Expenses:Shipping,Shipping,20.00
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2026-01-05,TXN-0006,,Ship order #1001,Assets:Current Assets:Checking,Checking,-20.00
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2026-01-06,TXN-0007,,Instagram ads,Expenses:Advertising,Advertising,50.00
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2026-01-06,TXN-0007,,Instagram ads,Assets:Current Assets:Checking,Checking,-50.00
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2026-01-07,TXN-0008,,Online sale (order #1003),Assets:Current Assets:Checking,Checking,180.00
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2026-01-07,TXN-0008,,Online sale (order #1003),Income:Sales,Sales,180.00
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2026-01-09,TXN-0009,,Online sale (order #1004) + sales tax,Assets:Current Assets:Checking,Checking,105.00
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2026-01-09,TXN-0009,,Online sale (order #1004) + sales tax,Income:Sales,Sales,100.00
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2026-01-09,TXN-0009,,Online sale (order #1004) + sales tax,Liabilities:Sales Tax Payable,Sales Tax Payable,5.00
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2026-01-10,TXN-0010,,Buy label printer (card),Assets:Equipment,Equipment,600.00
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2026-01-10,TXN-0010,,Buy label printer (card),Liabilities:Credit Card,Credit Card,600.00

‎docs/source/workbook/_downloads/gnucash_demo/gnucash_demo_transactions_to_enter.csv‎

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step,date,where_to_enter,description,transfer_to,amount,notes
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1,2026-01-01,Checking register,Owner investment,Equity:Owner Capital,+5000.00,Deposit into checking; transfer to Owner Capital.
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2,2026-01-02,Checking register,Buy shipping supplies,Expenses:Supplies,-120.00,Withdrawal from checking; expense increases.
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3,2026-01-03,Checking register,Online sale (order #1001),Income:Sales,+250.00,Deposit; transfer to Sales income.
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4,2026-01-04,Checking register,Rent payment,Expenses:Rent,-800.00,Withdrawal; rent expense.
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5,2026-01-05,Checking register,Online sale (order #1002),Income:Sales,+300.00,Deposit; transfer to Sales income.
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6,2026-01-05,Checking register,Ship order #1001,Expenses:Shipping,-20.00,Withdrawal; shipping expense.
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7,2026-01-06,Checking register,Instagram ads,Expenses:Advertising,-50.00,Withdrawal; advertising expense.
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8,2026-01-07,Checking register,Online sale (order #1003),Income:Sales,+180.00,Deposit; transfer to Sales income.
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9,2026-01-09,Checking register (split),Online sale (order #1004) + sales tax,Split: Income:Sales (100) AND Liabilities:Sales Tax Payable (5),+105.00,Use a split transaction so the deposit equals 105.
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10,2026-01-10,Credit Card register,Buy label printer (card),Assets:Equipment,+600.00,Charge on card; transfer to Equipment asset (shows as an increase).

‎docs/source/workbook/index.rst‎

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track_d_dataset_map
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track_d_outputs_guide
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track_d_my_own_data
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track_d_byod
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track_d_byod_gnucash
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track_d_byod_gnucash_demo_analysis
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track_d_assignments
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track_d_lab_ta_notes

‎docs/source/workbook/track_d_byod.rst‎

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.. _track_d_byod:
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=================================
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Track D BYOD: Bring Your Own Data
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=================================
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Track D is built around a realistic accounting case study (NSO), but the *skills* are meant to transfer.
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This BYOD (Bring Your Own Data) pipeline lets you take **real exports** (from a bookkeeping/accounting system)
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and convert them into the same **Track D dataset contract** used in the workbook.
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What “BYOD” means in Track D
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----------------------------
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Think of BYOD as a boring, reliable 3-step pipeline:
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1. **Export** data from a real system (or a CSV you already have).
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2. **Normalize** it into Track D’s canonical tables (``normalized/``).
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3. **Validate + analyze** the normalized tables using the Track D workflow.
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The core idea is: *separate the messy export from the clean analysis tables*.
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Quick start (template)
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----------------------
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Create a BYOD project folder (this writes header-only templates under ``tables/``):
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.. code-block:: console
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pystatsv1 trackd byod init --dest byod/my_project --profile core_gl
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Edit ``byod/my_project/config.toml`` to choose an adapter (examples):
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- ``adapter = "passthrough"`` — your ``tables/`` files are already in Track D’s canonical format
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- ``adapter = "core_gl"`` — generic GL export adapter (varies by source)
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- ``adapter = "gnucash_gl"`` — **GnuCash** “Export Transactions to CSV” (complex layout)
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Then normalize:
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.. code-block:: console
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pystatsv1 trackd byod normalize --project byod/my_project
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You should now have:
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- ``byod/my_project/normalized/chart_of_accounts.csv``
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- ``byod/my_project/normalized/gl_journal.csv``
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Validate the normalized tables:
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.. code-block:: console
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pystatsv1 trackd validate --datadir byod/my_project/normalized --profile core_gl
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Next: choose a tutorial
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-----------------------
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.. toctree::
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:maxdepth: 1
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track_d_byod_gnucash
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track_d_byod_gnucash_demo_analysis
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Where this fits in the workbook
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-------------------------------
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- If you’re new to Track D, start with :doc:`track_d_student_edition`.
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- If you’re ready to apply the workflow to your own data, see :doc:`track_d_my_own_data`.
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- This BYOD hub is the “how do I get from *my export* to *Track D tables*?” bridge.

‎docs/source/workbook/track_d_byod_gnucash.rst‎

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.. _track_d_byod_gnucash:
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===========================================
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Track D BYOD with GnuCash (core_gl profile)
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===========================================
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GnuCash is a **free, open-source** double-entry accounting system.
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In Track D, we use it as a “real but accessible” source system:
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- it produces realistic **multi-line split** exports (not toy spreadsheets)
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- it teaches a *cleaning + normalization* lesson that matches real analytics work
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- it requires **no trials** and works offline
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What you’ll do
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--------------
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1. Create a tiny mock business in GnuCash (guided transaction list).
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2. Export your transactions using **Export Transactions to CSV** with **Simple Layout OFF**.
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3. Run the Track D BYOD normalization pipeline to produce:
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- ``normalized/chart_of_accounts.csv``
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- ``normalized/gl_journal.csv``
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Downloads (demo pack)
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---------------------
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If you want to follow along quickly, download:
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- :download:`Transaction list to enter in GnuCash <_downloads/gnucash_demo/gnucash_demo_transactions_to_enter.csv>`
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- :download:`Demo export (complex/multi-line) <_downloads/gnucash_demo/gnucash_demo_export_complex.csv>`
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The export file above is **adapter-ready** (it matches what the ``gnucash_gl`` adapter expects).
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Step 1 — Create a tiny GnuCash book
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-----------------------------------
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In GnuCash, create a new file (a “book”).
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You can either:
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- use a default “Small Business” chart of accounts, *or*
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- create only the accounts you need (minimum below)
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Minimum accounts used in the demo:
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- ``Assets:Current Assets:Checking``
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- ``Assets:Equipment``
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- ``Liabilities:Credit Card``
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- ``Liabilities:Sales Tax Payable``
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- ``Equity:Owner Capital``
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- ``Income:Sales``
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- ``Expenses:Supplies``
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- ``Expenses:Rent``
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- ``Expenses:Shipping``
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- ``Expenses:Advertising``
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Step 2 — Enter the demo transactions
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------------------------------------
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Use the downloaded transaction list as your guide:
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:download:`gnucash_demo_transactions_to_enter.csv <_downloads/gnucash_demo/gnucash_demo_transactions_to_enter.csv>`
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Tips:
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- Most entries can be done in the **Checking** register.
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- For the “sales tax” example, use a **split** transaction.
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- For the credit-card equipment purchase, enter it in the **Credit Card** register.
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Step 3 — Export from GnuCash (complex layout)
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---------------------------------------------
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Use:
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``File → Export → Export Transactions to CSV``
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Critical setting:
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- **Uncheck** “Simple Layout” (this creates the multi-line export)
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Export a CSV that includes your accounts and the date range that covers your demo transactions.
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Step 4 — Initialize a Track D BYOD project
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------------------------------------------
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From your PyStatsV1 repo root (or any folder you like):
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.. code-block:: console
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pystatsv1 trackd byod init --dest byod/gnucash_demo --profile core_gl
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This creates:
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- ``tables/`` (where you place exports)
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- ``normalized/`` (generated outputs)
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- ``config.toml`` (tiny config: profile, tables_dir, adapter)
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Step 5 — Point the project at the GnuCash adapter
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-------------------------------------------------
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Open:
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``byod/gnucash_demo/config.toml``
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Change:
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.. code-block:: toml
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[trackd]
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adapter = "gnucash_gl"
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(Leave ``profile = "core_gl"`` as-is.)
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Step 6 — Place your export in the expected location
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---------------------------------------------------
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Copy your GnuCash export CSV to:
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``byod/gnucash_demo/tables/gl_journal.csv``
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Yes, the file is called ``gl_journal.csv`` even though it is still “raw export.”
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The adapter reads this file and writes the canonical tables to ``normalized/``.
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If you want to test without GnuCash, copy the demo export instead:
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.. code-block:: console
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# (Windows PowerShell)
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copy docs\source\workbook\_downloads\gnucash_demo\gnucash_demo_export_complex.csv byod\gnucash_demo\tables\gl_journal.csv
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# (macOS/Linux)
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cp docs/source/workbook/_downloads/gnucash_demo/gnucash_demo_export_complex.csv byod/gnucash_demo/tables/gl_journal.csv
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Step 7 — Normalize
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------------------
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Run:
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.. code-block:: console
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pystatsv1 trackd byod normalize --project byod/gnucash_demo
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You should now have:
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- ``byod/gnucash_demo/normalized/chart_of_accounts.csv``
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- ``byod/gnucash_demo/normalized/gl_journal.csv``
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Step 8 — Validate the normalized tables
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---------------------------------------
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.. code-block:: console
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pystatsv1 trackd validate --datadir byod/gnucash_demo/normalized --profile core_gl
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Step 9 — Do a first analysis
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----------------------------
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Go to:
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- :doc:`track_d_byod_gnucash_demo_analysis` (daily totals + basic plots), or
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- :doc:`track_d_my_own_data` (the general “apply Track D to your data” bridge)
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Troubleshooting
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---------------
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- If normalization complains about missing columns, re-export and confirm **Simple Layout is OFF**.
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- If numbers import incorrectly (decimal commas, etc.), adjust your export settings so amounts use a ``.`` decimal.

‎docs/source/workbook/track_d_byod_gnucash_demo_analysis.rst‎

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.. _track_d_byod_gnucash_demo_analysis:
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===========================================
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GnuCash demo: daily totals + first analysis
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===========================================
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Once you have a normalized BYOD project (see :doc:`track_d_byod_gnucash`), you can turn accounting tables into
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a simple “business time series” for basic statistics and forecasting.
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What we’ll build
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----------------
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A small daily table:
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- ``date``
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- ``revenue_proxy`` (credits to Income accounts)
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- ``expenses_proxy`` (debits to Expense accounts)
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Download (prebuilt)
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-------------------
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If you want to jump straight to analysis without running the normalization step first:
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- :download:`gnucash_demo_daily_totals.csv <_downloads/gnucash_demo/gnucash_demo_daily_totals.csv>`
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Option A — Build daily totals from your normalized tables
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---------------------------------------------------------
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Assume your BYOD project is at ``byod/gnucash_demo`` and you have:
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- ``byod/gnucash_demo/normalized/gl_journal.csv``
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- ``byod/gnucash_demo/normalized/chart_of_accounts.csv``
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Create a tiny script (for example ``scripts/gnucash_daily_totals.py``) with:
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.. code-block:: python
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from pathlib import Path
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import pandas as pd
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root = Path("byod/gnucash_demo")
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gl = pd.read_csv(root / "normalized" / "gl_journal.csv")
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coa = pd.read_csv(root / "normalized" / "chart_of_accounts.csv")
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gl["date"] = pd.to_datetime(gl["date"], errors="coerce")
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gl["debit"] = pd.to_numeric(gl["debit"], errors="coerce").fillna(0.0)
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gl["credit"] = pd.to_numeric(gl["credit"], errors="coerce").fillna(0.0)
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gl = gl.merge(coa[["account_id", "account_type"]], on="account_id", how="left")
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revenue = (
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gl.query("account_type == 'Income'")
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.groupby(gl["date"].dt.date)["credit"]
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.sum()
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.rename("revenue_proxy")
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)
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expenses = (
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gl.query("account_type == 'Expenses'")
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.groupby(gl["date"].dt.date)["debit"]
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.sum()
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.rename("expenses_proxy")
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)
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daily = (
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pd.concat([revenue, expenses], axis=1)
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.fillna(0.0)
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.reset_index()
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.rename(columns={"index": "date"})
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)
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out = root / "normalized" / "daily_totals.csv"
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daily.to_csv(out, index=False)
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print("Wrote:", out)
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print(daily)
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Option B — Run the existing “My Own Data” explore scaffold
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----------------------------------------------------------
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PyStatsV1 includes a beginner-friendly scaffold script:
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``scripts/my_data_01_explore.py``
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Run it against the daily totals CSV (either the prebuilt download, or the file you generated above):
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.. code-block:: console
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python scripts/my_data_01_explore.py --csv byod/gnucash_demo/normalized/daily_totals.csv --outdir outputs/gnucash_demo
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This will write a few simple outputs under ``outputs/gnucash_demo/`` (tables + quick plots).

‎docs/source/workbook/track_d_my_own_data.rst‎

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- run **checks** (duplicates, missingness, reconciliations)
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- produce **reproducible outputs** (tables + charts + short memo)
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.. tip::
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If your starting point is a **real export** (GnuCash / QuickBooks / bank / invoices),
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begin with :doc:`track_d_byod` to normalize it into Track D’s canonical tables.
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Then come back to this page for the analysis checklist.
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If you haven’t yet, skim these pages first:
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- :doc:`track_d_student_edition` (entry point)

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