Here is a preview of how my table will appear:
<table>
<thead>
<tr>
<th>Name</th>
<th>Week 1</th>
<th>Week 2</th>
<th>Week 3</th>
</tr>
</thead>
<tbody>
<tr>
<td>Cooper</td>
<td>Vikings</td>
<td>Giants</td>
<td>Rams</td>
</tr>
<tr>
<td>Jon Doe</td>
<td>Bears</td>
<td></td>
<td>Seahawks</td>
</tr>
</tbody>
Below is an example of the data I will be working with:
{
"name" : "Cooper",
"picks" [{"w1": "vikings"}, {"w2" : "Giants"}, {"w3" : "Rams"}]
},
{
"name" : "Jon Doe",
"picks" [{"w1": "Bears"}, {"w3" : "Seahawks"}]
}
I am seeking recommendations on the best approach to generate my output. While this is a basic illustration, in reality, my model will include 30 columns and some may be hidden depending on the week. The picks will follow a specific order, however, there might not be selections for every week. As shown in my example, Jon Doe did not choose a team for Week 2.
Thank you!