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Fix typo of bachelors with 'single' #810

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Fix typo of bachelors with 'single' #810

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2 changes: 1 addition & 1 deletion jupyter_english/assignments_demo/assignment01_pandas_uci_adult.ipynb
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Expand Up @@ -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.**"
]
},
{
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2 changes: 1 addition & 1 deletion jupyter_english/assignments_demo/assignment01_pandas_uci_adult_solution.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -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.**"
]
},
{
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2 changes: 1 addition & 1 deletion mlcourse_ai_jupyter_book/book/topic01/assignment01_pandas_uci_adult.md
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Expand Up @@ -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
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2 changes: 1 addition & 1 deletion mlcourse_ai_jupyter_book/book/topic01/assignment01_pandas_uci_adult_solution.md
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Expand Up @@ -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
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