county_data

Data for 3142 counties in the United States containing demographic,
educational, economic, and technological statistics.

datasets

Provides fundamental functions for descriptive statistics,
including MODE(), estimate_mode(), center_stats(), position_stats(), pct(),
spread_stats(), kurt(), skew(), and shape_stats(), which assist in
summarizing the center, spread, and shape of numeric data. For more details,
see McCurdy (2025), "Introduction to Data Science with R"
<https://jonmccurdy.github.io/Introduction-to-Data-Science/>.

Jon McCurdy

MSMU

Descriptive Statistics Functions for Numeric Data

Luke Papayoanou

county_data function

A data frame with 3142 rows and 17 columns:<dl>
<dt>state</dt>
<dd>State (character)</dd><dt>name</dt>
<dd>County name (character)</dd><dt>fips</dt>
<dd>County level FIPS code (integer)</dd><dt>pop</dt>
<dd>County population (integer)</dd><dt>households</dt>
<dd>Number of households (integer)</dd><dt>median_age</dt>
<dd>Median age of people in county (numeric)</dd><dt>age_over_18</dt>
<dd>Percent age of people over 18 (numeric)</dd><dt>age_over_65</dt>
<dd>Percent age of people over 65 (numeric)</dd><dt>hs_grad</dt>
<dd>Percent of highschool grads (numeric)</dd><dt>bachelors</dt>
<dd>Percent of people with bachelors degrees (numeric)</dd><dt>white</dt>
<dd>Percent of population that is white (numeric)</dd><dt>black</dt>
<dd>Percent of population that is black (numeric)</dd><dt>hispanic</dt>
<dd>Percent of population that is hispanic (numeric)</dd><dt>household_has_smartphone</dt>
<dd>Percent of households who have a smartphone (numeric)</dd><dt>mean_household_income</dt>
<dd>Average household income (integer)</dd><dt>median_household_income</dt>
<dd>Median household income (integer)</dd><dt>unemployment_rate</dt>
<dd>Unemployment rate (numeric)</dd>
</dl>

Format

County data — county_data

A data frame with 3142 rows and 17 columns:<dl>
<dt>state</dt>
<dd>State (character)</dd>

<dt>name</dt>
<dd>County name (character)</dd>

<dt>fips</dt>
<dd>County level FIPS code (integer)</dd>

<dt>pop</dt>
<dd>County population (integer)</dd>

<dt>households</dt>
<dd>Number of households (integer)</dd>

<dt>median_age</dt>
<dd>Median age of people in county (numeric)</dd>

<dt>age_over_18</dt>
<dd>Percent age of people over 18 (numeric)</dd>

<dt>age_over_65</dt>
<dd>Percent age of people over 65 (numeric)</dd>

<dt>hs_grad</dt>
<dd>Percent of highschool grads (numeric)</dd>

<dt>bachelors</dt>
<dd>Percent of people with bachelors degrees (numeric)</dd>

<dt>white</dt>
<dd>Percent of population that is white (numeric)</dd>

<dt>black</dt>
<dd>Percent of population that is black (numeric)</dd>

<dt>hispanic</dt>
<dd>Percent of population that is hispanic (numeric)</dd>

<dt>household_has_smartphone</dt>
<dd>Percent of households who have a smartphone (numeric)</dd>

<dt>mean_household_income</dt>
<dd>Average household income (integer)</dd>

<dt>median_household_income</dt>
<dd>Median household income (integer)</dd>

<dt>unemployment_rate</dt>
<dd>Unemployment rate (numeric)</dd>


</dl>

county_data: County data

Description

Usage

Arguments

Format