From 22e6bfce42393c5b3ca091f694ebbcb5bfb7f621 Mon Sep 17 00:00:00 2001 From: "Mr. Rocket" Date: Sat, 7 Feb 2026 20:59:51 +0500 Subject: [PATCH] Fix typo of bachelors with 'single', closes #809 --- .../assignments_demo/assignment01_pandas_uci_adult.ipynb | 2 +- .../assignment01_pandas_uci_adult_solution.ipynb | 2 +- .../book/topic01/assignment01_pandas_uci_adult.md | 2 +- .../book/topic01/assignment01_pandas_uci_adult_solution.md | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/jupyter_english/assignments_demo/assignment01_pandas_uci_adult.ipynb b/jupyter_english/assignments_demo/assignment01_pandas_uci_adult.ipynb index 4fed04665d..abab676efa 100644 --- a/jupyter_english/assignments_demo/assignment01_pandas_uci_adult.ipynb +++ b/jupyter_english/assignments_demo/assignment01_pandas_uci_adult.ipynb @@ -184,7 +184,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**8. Among whom is the proportion of those who earn a lot (>50K) greater: married or single men (*marital-status* feature)? Consider as married those who have a *marital-status* starting with *Married* (Married-civ-spouse, Married-spouse-absent or Married-AF-spouse), the rest are considered bachelors.**" + "**8. Among whom is the proportion of those who earn a lot (>50K) greater: married or single men (*marital-status* feature)? Consider as married those who have a *marital-status* starting with *Married* (Married-civ-spouse, Married-spouse-absent or Married-AF-spouse), the rest are considered single.**" ] }, { diff --git a/jupyter_english/assignments_demo/assignment01_pandas_uci_adult_solution.ipynb b/jupyter_english/assignments_demo/assignment01_pandas_uci_adult_solution.ipynb index 29c43e8886..ef918dc15b 100644 --- a/jupyter_english/assignments_demo/assignment01_pandas_uci_adult_solution.ipynb +++ b/jupyter_english/assignments_demo/assignment01_pandas_uci_adult_solution.ipynb @@ -195,7 +195,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**8. Among whom the proportion of those who earn a lot(>50K) is more: among married or single men (*marital-status* feature)? Consider married those who have a *marital-status* starting with *Married* (Married-civ-spouse, Married-spouse-absent or Married-AF-spouse), the rest are considered bachelors.**" + "**8. Among whom the proportion of those who earn a lot(>50K) is more: among married or single men (*marital-status* feature)? Consider married those who have a *marital-status* starting with *Married* (Married-civ-spouse, Married-spouse-absent or Married-AF-spouse), the rest are considered single.**" ] }, { diff --git a/mlcourse_ai_jupyter_book/book/topic01/assignment01_pandas_uci_adult.md b/mlcourse_ai_jupyter_book/book/topic01/assignment01_pandas_uci_adult.md index 8d4d179cef..5b7c0434af 100644 --- a/mlcourse_ai_jupyter_book/book/topic01/assignment01_pandas_uci_adult.md +++ b/mlcourse_ai_jupyter_book/book/topic01/assignment01_pandas_uci_adult.md @@ -118,7 +118,7 @@ data.head() # You code here (read-only in a JupyterBook, pls run jupyter-notebook to edit) ``` -**8. Among whom is the proportion of those who earn a lot (`>50K`) greater: married or single men (*marital-status* feature)? Consider as married those who have a *marital-status* starting with *Married* (`Married-civ-spouse`, `Married-spouse-absent` or `Married-AF-spouse`), the rest are considered bachelors.** +**8. Among whom is the proportion of those who earn a lot (`>50K`) greater: married or single men (*marital-status* feature)? Consider as married those who have a *marital-status* starting with *Married* (`Married-civ-spouse`, `Married-spouse-absent` or `Married-AF-spouse`), the rest are considered single.** ```{code-cell} ipython3 diff --git a/mlcourse_ai_jupyter_book/book/topic01/assignment01_pandas_uci_adult_solution.md b/mlcourse_ai_jupyter_book/book/topic01/assignment01_pandas_uci_adult_solution.md index 06e75bdf80..eb7355da8b 100644 --- a/mlcourse_ai_jupyter_book/book/topic01/assignment01_pandas_uci_adult_solution.md +++ b/mlcourse_ai_jupyter_book/book/topic01/assignment01_pandas_uci_adult_solution.md @@ -129,7 +129,7 @@ for (race, sex), sub_df in data.groupby(["race", "sex"]): print(sub_df["age"].describe()) ``` -**8. Among whom is the proportion of those who earn a lot (`>50K`) greater: married or single men (*marital-status* feature)? Consider as married those who have a *marital-status* starting with *Married* (`Married-civ-spouse`, `Married-spouse-absent` or `Married-AF-spouse`), the rest are considered bachelors.** +**8. Among whom is the proportion of those who earn a lot (`>50K`) greater: married or single men (*marital-status* feature)? Consider as married those who have a *marital-status* starting with *Married* (`Married-civ-spouse`, `Married-spouse-absent` or `Married-AF-spouse`), the rest are considered single.** ```{code-cell} ipython3