Console: replace emoji status markers with ASCII

docs/source/workbook/track_d_lab_ta_notes.rst

@@ -132,7 +132,7 @@ location. You now have a ready-to-run lab workspace.”
 
 Students should see a message like:
 
-- “✅ Track D workbook starter created at …”
+- “[OK] Track D workbook starter created at …”
 - “Datasets are pre-installed under ``data/synthetic/``, seed=123.”
 
 4.2 Why seed=123 matters

docs/source/workbook/windows11_setup.rst

@@ -209,7 +209,7 @@ The ``[workbook]`` part is important: it means "include the workbook extras".
 
 ``pystatsv1 doctor`` runs a quick health check. If you see::
 
-  ✅ Environment looks good.
+  [OK] Environment looks good.
 
 then your install is working.
 

scripts/business_ch13_correlation_causation_controlled_comparisons.py

@@ -185,8 +185,8 @@ def analyze_ch13(*, datadir: Path, outdir: Path, seed: int) -> Outputs:
 The controlled comparison (partial correlation) helps avoid a misleading story: “Revenue causes payroll taxes.”
 
 ## What we can and cannot claim
-✅ We can say: Revenue and payroll taxes move together in this dataset, and payroll explains much of that relationship.
-❌ We cannot say: Increasing revenue causes payroll taxes to rise (causal claim).
+- OK: Revenue and payroll taxes move together in this dataset, and payroll explains much of that relationship.
+- NOT OK: Increasing revenue causes payroll taxes to rise (a causal claim).
 
 ## Sensitivity check
 Leave-one-out naive correlation range: {loo_min:.3f} to {loo_max:.3f}

scripts/d00_peek_data.py

@@ -40,7 +40,7 @@ def _preview_csv(path: Path, n: int = 5) -> str:
 def _peek_dataset(name: str, folder: Path, preview_rows: int) -> tuple[str, list[str]]:
     if not folder.exists():
         msg = (
-            f"⚠️  Missing dataset folder: {folder}\n"
+            f"[WARN] Missing dataset folder: {folder}\n"
             "If you just created this workbook, you may be on an older PyStatsV1 version.\n"
             "Update, then re-run workbook init:\n\n"
             "  python -m pip install -U pystatsv1\n"
@@ -51,7 +51,7 @@ def _peek_dataset(name: str, folder: Path, preview_rows: int) -> tuple[str, list
     csvs = sorted(folder.glob("*.csv"))
     if not csvs:
         msg = (
-            f"⚠️  No CSV files found in: {folder}\n"
+            f"[WARN] No CSV files found in: {folder}\n"
             "This workbook expects canonical datasets to exist under data/synthetic/.\n"
         )
         return msg, [msg]
@@ -113,7 +113,7 @@ def main(argv: list[str] | None = None) -> int:
     report = outdir / "d00_peek_data_summary.md"
     report.write_text("\n".join(sections).rstrip() + "\n", encoding="utf-8")
 
-    print(f"\n✅ Wrote summary: {report}")
+    print(f"\n[OK] Wrote summary: {report}")
     print("Tip: If you edited data/synthetic, run: pystatsv1 workbook run d00_setup_data --force")
     return 0
 

scripts/d00_setup_data.py

@@ -92,7 +92,8 @@ def main(argv: list[str] | None = None) -> int:
             ],
         )
 
-    print("\n✅ Datasets ready under:", root)
+    # ASCII-only status marker for Windows consoles that default to cp1252.
+    print("\n[OK] Datasets ready under:", root)
     print("   -", ledger_dir)
     print("   -", nso_dir)
     return 0

scripts/my_data_01_explore.py

@@ -171,7 +171,7 @@ def print_quick_report(df: pd.DataFrame) -> None:
     if ID_COL in df.columns:
         dup = df[ID_COL].duplicated().sum()
         if dup:
-            print(f"\n⚠️  Duplicate {ID_COL} values: {dup}")
+            print(f"\n[WARN] Duplicate {ID_COL} values: {dup}")
 
     if GROUP_COL in df.columns:
         k = df[GROUP_COL].nunique(dropna=False)
@@ -182,7 +182,9 @@ def print_quick_report(df: pd.DataFrame) -> None:
 
     numeric = df.select_dtypes(include=["number"]).columns
     if len(numeric) == 0:
-        print("\n⚠️  No numeric columns detected. If numbers are stored as text, fix your CSV or edit the script.")
+        print(
+            "\n[WARN] No numeric columns detected. If numbers are stored as text, fix your CSV or edit the script."
+        )
     else:
         print("\nnumeric columns:")
         for c in numeric:

workbooks/track_d_template/scripts/business_ch13_correlation_causation_controlled_comparisons.py

@@ -187,8 +187,8 @@ def analyze_ch13(*, datadir: Path, outdir: Path, seed: int) -> Outputs:
 The controlled comparison (partial correlation) helps avoid a misleading story: “Revenue causes payroll taxes.”
 
 ## What we can and cannot claim
-✅ We can say: Revenue and payroll taxes move together in this dataset, and payroll explains much of that relationship.
-❌ We cannot say: Increasing revenue causes payroll taxes to rise (causal claim).
+- OK: Revenue and payroll taxes move together in this dataset, and payroll explains much of that relationship.
+- NOT OK: Increasing revenue causes payroll taxes to rise (a causal claim).
 
 ## Sensitivity check
 Leave-one-out naive correlation range: {loo_min:.3f} to {loo_max:.3f}

workbooks/track_d_template/scripts/d00_peek_data.py

@@ -43,7 +43,7 @@ def _preview_csv(path: Path, n: int = 5) -> str:
 def _peek_dataset(name: str, folder: Path, preview_rows: int) -> tuple[str, list[str]]:
     if not folder.exists():
         msg = (
-            f"⚠️  Missing dataset folder: {folder}\n"
+            f"[WARN] Missing dataset folder: {folder}\n"
             "If you just created this workbook, you may be on an older PyStatsV1 version.\n"
             "Update, then re-run workbook init:\n\n"
             "  python -m pip install -U pystatsv1\n"
@@ -54,7 +54,7 @@ def _peek_dataset(name: str, folder: Path, preview_rows: int) -> tuple[str, list
     csvs = sorted(folder.glob("*.csv"))
     if not csvs:
         msg = (
-            f"⚠️  No CSV files found in: {folder}\n"
+            f"[WARN] No CSV files found in: {folder}\n"
             "This workbook expects canonical datasets to exist under data/synthetic/.\n"
         )
         return msg, [msg]
@@ -116,7 +116,8 @@ def main(argv: list[str] | None = None) -> int:
     report = outdir / "d00_peek_data_summary.md"
     report.write_text("\n".join(sections).rstrip() + "\n", encoding="utf-8")
 
-    print(f"\n✅ Wrote summary: {report}")
+    # ASCII-only status marker for Windows consoles that default to cp1252.
+    print(f"\n[OK] Wrote summary: {report}")
     print("Tip: If you edited data/synthetic, run: pystatsv1 workbook run d00_setup_data --force")
     return 0
 

workbooks/track_d_template/scripts/d00_setup_data.py

@@ -97,7 +97,8 @@ def main(argv: list[str] | None = None) -> int:
             ],
         )
 
-    print("\n✅ Datasets ready under:", root)
+    # ASCII-only status marker for Windows consoles that default to cp1252.
+    print("\n[OK] Datasets ready under:", root)
     print("   -", ledger_dir)
     print("   -", nso_dir)
     return 0