---
title: "Client Report - Famous Names"
subtitle: "Unit 1 Task 3"
author: "[STUDENT NAME]"
format:
  html:
    self-contained: true
    page-layout: full
    title-block-banner: true
    toc: true
    toc-depth: 3
    toc-location: body
    number-sections: false
    html-math-method: katex
    code-fold: true
    code-summary: "Show the code"
    code-overflow: wrap
    code-copy: hover
    code-tools:
        source: false
        toggle: true
        caption: See code
execute: 
  warning: false
    
---

```{python}
import polars as pl
import numpy as np
from lets_plot import *

LetsPlot.setup_html(isolated_frame=True)
```

```{python}
# Learn morea about Code Cells: https://quarto.org/docs/reference/cells/cells-jupyter.html

# Include and execute your code here
df = pl.read_csv("https://posit.byui.edu/content/0d43d66f-d3b7-4c43-8c36-52e3ed69e7f1/names_year_csv.csv")
```



## QUESTION 1

<!-- Make sure at least one of your charts includes reference marks!! -->

__Make a new column that represents the total number of babies with your name for only those states in which you have lived. (If you have only ever lived in one state, pick at least one other state so you get practice summing across columns). Make a graph displaying that total for your name over time.__

_type your results and analysis here_

```{python}
# Q1


```


## QUESTION 2

1. __Let's look at a name that is special for members of the church: Brigham. For each year, calculate what proportion of babies named Brigham were born in Idaho and Utah? Make a graph displaying the proportion over time.__  

_type your results and analysis here_

```{python}
# Q2


```

<!-- Make sure at least one of your charts includes reference marks!! -->

## QUESTION 3

1. __Consider doing some data validation. For the name David, calculate a sum of all 50 states and District of Columbia for each year. Now compare that total to the value in the 'Total' column. In which years, if any, do they not agree?__

_type your results and analysis here_

```{python}
# Q3


```