From f612a123f135f93da662ca0543998dc90a0c50d6 Mon Sep 17 00:00:00 2001
From: eeshabarua <61480751+eeshabarua@users.noreply.github.com>
Date: Wed, 12 Mar 2025 22:47:09 -0400
Subject: Add 2023 Scripts and Data (#6)

* Add 2023 Scripts and Data

* Update README.md
---
 scripts-2023/README.md | 10 ++++++++++
 1 file changed, 10 insertions(+)
 create mode 100644 scripts-2023/README.md

(limited to 'scripts-2023/README.md')

diff --git a/scripts-2023/README.md b/scripts-2023/README.md
new file mode 100644
index 0000000..0a29c18
--- /dev/null
+++ b/scripts-2023/README.md
@@ -0,0 +1,10 @@
+# Populating 2023 Data into a CSV
+
+This is the (crude) first draft of documentation for the 2023 data pipeline!
+
+How this works:
+
+- All the input/output dataframes that the scripts operate with are located in the directory data-2023/in/ and data-2023/out/.
+- To follow the pipeline, drag/drop the new year's investment portfolio .CSV file into data-2023/in/.
+- Follow 01-clean.ipynb and 02-populate-tickers.ipynb respectively.
+- The final dataframe, will be populated as 'data-2023/out/df*with_ticker*...csv'. Please replicate this process and compare your results with 'data-2023/out/master_df_with_ticker.csv', which is the final dataframe that I uploaded to MongoDB.
-- 
cgit v1.2.3