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JosiahTucker/issue68 #313

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3876779
Add visualizations to NumericQuestionAnalytics component
JosiahTucker Apr 8, 2025
98b58ba
Add visualizations to NumericQuestionAnalytics component
JosiahTucker Apr 14, 2025
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73 changes: 49 additions & 24 deletions apps/form-builder/src/components/FormSubmissions/NumericQuestionAnalytics/index.tsx
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Original file line number Diff line number Diff line change
@@ -1,7 +1,8 @@
import React, { useMemo } from 'react';
import { Chart } from 'react-google-charts';
import List from '@mui/material/List';
import ListItem from '@mui/material/ListItem';
import { ListItemText } from '@mui/material';
import { useMemo } from 'react';
import {
FormQuestionResponse,
FormSubmissionResponse,
Expand All @@ -16,7 +17,7 @@ export default function NumericQuestionAnalytics({
question,
responses,
}: Props) {
const { mean, median, mode } = useMemo(() => {
const { mean, median, mode, chartData } = useMemo(() => {
let mean: number;
let median: number;
let mode: number[] = [];
Expand All @@ -25,7 +26,7 @@ export default function NumericQuestionAnalytics({
const occurrences: number[] = [];
let maxOccur = 2;

// total up responses and make array of occurences for each response
// Total up responses and make an array of occurrences for each response
for (const response of responses) {
for (const questionResponse of response.questionResponses) {
if (typeof questionResponse.answer !== 'number') {
Expand All @@ -40,12 +41,11 @@ export default function NumericQuestionAnalytics({
}
}

// calculate mean
// eslint-disable-next-line prefer-const
// Calculate mean
mean = Math.round((total / numbers.length) * 100) / 100;

// calculate median
numbers.sort;
// Calculate median
numbers.sort((a, b) => a - b); // Sort numbers in ascending order
if (numbers.length % 2 !== 0) {
median = Math.round(numbers[Math.floor(numbers.length / 2)] * 100) / 100;
} else {
Expand All @@ -57,37 +57,62 @@ export default function NumericQuestionAnalytics({
) / 100;
}

// calculate mode
// Calculate mode
occurrences.forEach((num, i) => {
if (occurrences[i] > maxOccur) {
console.log(num, i);
mode = [i];
maxOccur = occurrences[i];
} else if (occurrences[i] == maxOccur) {
} else if (occurrences[i] === maxOccur) {
mode.push(i);
}
});

// Prepare chart data
const chartData = [['Number', 'Frequency']];
occurrences.forEach((count, number) => {
if (count > 0) {
chartData.push([number, count]);
}
});

return {
mean,
mode,
median,
mode,
chartData,
};
}, [responses]);

return (
<List>
<ListItem>
<ListItemText>Mean: {mean}</ListItemText>
</ListItem>
<ListItem>
<ListItemText>Median: {median}</ListItemText>
</ListItem>
<ListItem>
<ListItemText>
Mode: {mode.length ? mode.join(', ') : 'None'}
</ListItemText>
</ListItem>
</List>
<>
{/* Display Statistics */}
<List>
<ListItem>
<ListItemText>Mean: {mean}</ListItemText>
</ListItem>
<ListItem>
<ListItemText>Median: {median}</ListItemText>
</ListItem>
<ListItem>
<ListItemText>
Mode: {mode.length ? mode.join(', ') : 'None'}
</ListItemText>
</ListItem>
</List>

{/* Render Histogram */}
<Chart
chartType="Histogram"
width="100%"
height="400px"
data={chartData}
options={{
title: 'Histogram of Responses',
legend: { position: 'none' },
hAxis: { title: 'Numbers' },
vAxis: { title: 'Frequency' },
}}
/>
</>
);
}
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