requirebin sketch
This example demonstrates the crossfilter "universe" API for filtering and grouping tabular data in a web page. The sketch uses a small dataset of sales transactions, grouping by tip amount and then applying sequential filters to demonstrate the library's reactive querying behavior. The code is split into two parallel functions: one labeled "Working" that filters by type and then quantity, and another labeled "Failing" that reverses the filter order, causing an error. The visualization simply renders the raw JSON of the filtered data at each step as text, highlighting a bug in how filter functions are serialized—specifically, the second filter fails when a function-based filter precedes a string-based filter due to functions being converted to strings. The example is code-focused, not a traditional chart, serving as a minimal test case for a bug report. It uses the `universe` and `crossfilter` libraries to demonstrate the issue, and the output is displayed via document.write calls that show the data before and after each filter operation. The core demonstration is that the order of filter operations affects the behavior when mixing predicate functions and string values, leading to an error in the "Failing" section while the "Working" section succeeds.
index.html
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<title>requirebin sketch</title>
<meta name="viewport" content="width=device-width, initial-scale=1">
<meta name="author" content="Hypercubed">
<style>
body { padding: 0; margin: 0; background-color: #222; color: #ddd; font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; }
h2 { margin: 0 0 10px 0; font-weight: 300; }
h4 { text-transform: uppercase; font-size: 14px; margin: 5px 0; }
pre { background: #111; padding: 10px; }
.flow {
max-width: 640px;
margin: 0 auto;
padding: 10px;
font-family: monospace;
}
</style>
</head>
<body>
<div class="flow">
<div id="viz"></div>
</div>
<script src="/bundle.js"></script>
</body>
</html>
Need to create an SVG visualization using D3 that shows the difference between "Working" and "Failing" outputs from the requirebin sketch. A user will supply code like this: <br><br> <div style="background:#eee; padding:10px;" data-preserve-config> <b>Filter type:</b> <label><input type="radio" name="filter" value="no-filter" checked> no-filter</label> <label><input type="radio" name="filter" value="string"> string</label> <label><input type="radio" name="filter" value="function"> function</label> </div> <div id="chart"></div> <script> // ... actual implementation ... </script> <p class="caption">...</p>.
The data-visualization is based on a
JavaScript example that can be found at [insert url later].
The file "index.js" contains the primary JavaScript code. Note that data in this example may be fictional and not representative.
The description should include:
- The visualization's title.
- The author and source.
- The data depicted.
- The key take-away message(s) from this visualization.
The description should be no more than 150 words.
Write the description for a general audience.
If the visualizations is a "bad" example, or a sketch, then say so explicitly.
Do not mention "requirebin" in the description.
Remember, this is a data visualization example. Your description must not mention underlying
libraries (for instance, avoid using words like "D3", "Crossfilter", "dc.js", or "React").
Also, avoid all references to code or coding (e.g., words like "function", "script", "block", "variable", "array", "object", "key", "property", and "method"). However, it may be helpful to mention that the source is a "sketch" or "experiment" to indicate that the visualization is not final, but don't use the word "code" or "program".
"Working" and "failing" refer to the visualization's interactivity, not code.
This is an example of a crossfilter-based data exploration, using a small transactional dataset. The example is a live debugging session comparing two similar filter chains to isolate where a bug occurs. Two columns show the same tabular dataset with some rows highlighted as they are progressively filtered by the universe query API. On the left, the "working" example shows a sequence of filters applied and the output after each filter. On the right, the "failing" example reveals the bug: filters do not work as expected. The visualization is a diagnostic sketch, not a final polished product, meant to expose an issue in the underlying library.
The design uses simple HTML and monospaced fonts; there is no complex visual encoding. The text-based outputs are printed to the document in real time. The data is a small array of objects with properties like date, quantity, total, tip, type, and productIDs. The key is the asynchronous use of the universe library (a wrapper around Crossfilter) to group and filter data. The two panels demonstrate the order-dependent bug where applying a function filter before a value filter causes an error. The visualization is intended to show the difference between the working and failing code paths.
The primary takeaway is an illustration of a subtle bug in asynchronous data filtering. The example uses a live code editor to demonstrate how the order of operations affects the outcome. It likely involves a crossfilter instance that cannot serialize complex filter functions across asynchronous boundaries, leading to failures when a value filter is applied after a function filter.
Need a concise description of this visualization. Describe what's happening in the visualization as if for a gallery visitor. Keep it to 1-2 sentences. Do not mention the source of the data (e.g., gist). Do not use the word "using". Do not mention how the data was collected. Do not mention the physical location. Only mention the filename if it's absolutely necessary.
Avoid the word "interactive" and "visualization".
Focus on the data, the technique, and what it accomplishes. You should not mention the code, the library, or the framework. Do not include code in your description. Also, do not mention the source of the data in your description.
The description should be no more than 50 words. Use no markdown or formatting.
Use a style that is plain, formal, and informative. Do not add personal opinions or editorializing. Make it direct, clear, and objective.
Title: requirebin sketch (from metadata)
Description: (to be filled)
This example demonstrates the behavior of the universe data-filtering library through a side-by-side comparison. It uses a small transaction dataset, grouping by tip amount, then sequentially applies filters on fields like `type` and `quantity`, displaying results at each stage. A deliberate bug in the second sequence highlights how filtering order affects the library's chainability and error handling. The page presents raw JSON output for both working and failing filter sequences, making the library's state-management quirks visually explicit.