Update formatting

prof-rossetti · Oct 24, 2024 · 1600ce1 · 1600ce1
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Showing 2 changed files with 13 additions and 6 deletions.
diff --git a/docs/_quarto.yml b/docs/_quarto.yml
@@ -242,9 +242,9 @@ website:
               - section:
                 href: notes/applied-stats/basic-tests.qmd
                 text: "Statistical Tests"
-              - section:
-                href: notes/applied-stats/data-scaling.qmd
-                text: "Data Scaling"
+              #- section:
+              #  href: notes/applied-stats/data-scaling.qmd
+              #  text: "Data Scaling"
               - section:
                 href: notes/applied-stats/correlation.qmd
                 text: "Correlation"

diff --git a/docs/notes/pandas/dataframes-2.ipynb b/docs/notes/pandas/dataframes-2.ipynb
@@ -1048,8 +1048,14 @@
         "\n",
         "# lesser used format (dict of lists)\n",
         "prices = {\n",
-        "    \"date\": [\"2020-10-01\", \"2020-10-02\", \"2020-10-03\", \"2020-10-04\", \"2020-10-05\", \"2020-10-06\", \"2020-10-07\", \"2020-10-08\"],\n",
-        "    \"stock_price_usd\": [100.00, 101.01, 120.20, 107.07, 142.42, 135.35, 160.60, 162.62]\n",
+        "    \"date\": [\n",
+        "        \"2020-10-01\", \"2020-10-02\", \"2020-10-03\", \"2020-10-04\",\n",
+        "        \"2020-10-05\", \"2020-10-06\", \"2020-10-07\", \"2020-10-08\"\n",
+        "    ],\n",
+        "    \"stock_price_usd\": [\n",
+        "        100.00, 101.01, 120.20, 107.07,\n",
+        "        142.42, 135.35, 160.60, 162.62\n",
+        "    ]\n",
         "}\n",
         "df = DataFrame(prices)\n",
         "df.head()"
@@ -1868,7 +1874,8 @@
       "source": [
         "from pandas import read_csv\n",
         "\n",
-        "request_url = \"https://raw.githubusercontent.com/prof-rossetti/intro-to-python/main/data/daily_adjusted_nflx.csv\"\n",
+        "repo_url = \"https://raw.githubusercontent.com/prof-rossetti/intro-to-python\"\n",
+        "request_url = f\"{repo_url}/main/data/daily_adjusted_nflx.csv\"\n",
         "prices_df = read_csv(request_url)\n",
         "prices_df.head()"
       ]