Project 5 One Pager

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    <meta charset="UTF-8">
    <title>Top ZIP Codes in Ohio History Connection Visitation</title>
    <script src="https://d3js.org/d3.v4.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/d3-queue/3.0.4/d3-queue.min.js"></script>
    <style>
        html, body, #vis {
            height: 100%;
            margin: 0;
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        form, select {
            text-align: center;
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            padding-left: 50pt;
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<h1 align="center">OHC Visitor ZIP Code Analysis</h1>
<div class="indented">
<h3>Hypothesis:</h3>
<p>People come to view Ohio History Center's exhibits and participate in museum events from all over Ohio. But where do they come from? Membership could be a potential indicator. Historically, the ZIP codes with the most members have been:</p>
<ol type="1">
    <li>Clintonville</li>
    <li>Gahanna</li>
    <li>Westerville</li>
    <li>Worthington</li>
    <li>Upper Arlington</li>
    <li>Delaware</li>
    <li>Powell</li>
    <li>Bexley</li>
    <li>Hilliard</li>
    <li>Grove City</li>
</ol>
<p>With this in mind, using visitation ZIP code data from the most recent fiscal year, we can determine whether there is a correlation between membership and ticket sales for all programs. </p>
<h3>Top 10 ZIP Codes in FY 2018</h3>
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<div id="vis">
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var svg = d3.select('#vis')
    .append('svg')
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    .attr('height', height)
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    .attr('transform', 'translate(' + margin.left + ',' + margin.top + ')');

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svg.append('g')
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svg.append("text")             
.attr("transform",
      "translate(" + (width/2) + " ," + 
                     (height + margin.top + 40) + ")")
.style("text-anchor", "middle")
.text("Zip");

svg.append('g')
    .attr('class', 'y axis');

svg.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 0 - margin.left)
.attr("x",0 - (height / 2))
.attr("dy", "1em")
.style("text-anchor", "middle")
.text("Number of Tickets");

var colour_scale = d3.scaleQuantile()
    .range(["#ffffff","#d5bedd","#c8a4d6", "#8e639e","#52325e"]);

d3.csv('Top_10_FY_Comb_Sorted.csv', function(csv_data) {

var t = d3.transition()
            .duration(1500);

var zips = csv_data.map(function(d) {
            return d.Zip;
        });
        x_scale.domain(zips);

var max_value = d3.max(csv_data, function(d) {
            return d.Num_Tickets;
        });
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            .data(csv_data);
        
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            .attr('width', x_scale.bandwidth());

//update
        new_bars.merge(bars)
            .transition(t)
            .attr('x', function(d) {
                return x_scale(d.Zip);
            })
            .attr('y', function(d) {
                return y_scale(d.Num_Tickets);
            })
            .attr('height', function(d) {
                return height - y_scale(d.Num_Tickets);
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</script>
<div class="indented">
<h3>Results</h3>
<p>There are some differences between the counties containing the highest membership versus those with the most visitation. <i>Delaware</i> was absent from the top 10, as was <i>Bexley</i> and <i>Grove City</i>, replaced by <i>Dublin</i>, <i>the Short North</i>, and <i>Urbancrest</i>.
Furthermore, the order has changed, with <i>Upper Arlington</i>, <i>Westerville</i>, and <i>Dublin</i> all boasting a ticket count exceeding 2800 for all programs.</p>
<h3>Recommendations</h3>
<p>Data spanning a longer period of time could reveal trends not reflected in the current dataset. Based solely on fiscal year 2018, more marketing resources need to be directed towards growing audiences in the aforementioned counties, as membership does not accurately correlate with general visitation for all programs.</p>
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Modified http://cdnjs.cloudflare.com/ajax/libs/d3-queue/3.0.4/d3-queue.min.js to a secure url

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