413 lines
9.9 KiB
TypeScript
413 lines
9.9 KiB
TypeScript
import dayjs from 'dayjs'
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import { useEffect, useState } from 'react'
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import {
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DailyCountChart,
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DailyPercentChart,
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} from 'web/components/analytics/charts'
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import { Col } from 'web/components/layout/col'
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import { Spacer } from 'web/components/layout/spacer'
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import { Tabs } from 'web/components/layout/tabs'
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import { Page } from 'web/components/page'
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import { Title } from 'web/components/title'
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import { SiteLink } from 'web/components/site-link'
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import { Linkify } from 'web/components/linkify'
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import { getStats } from 'web/lib/firebase/stats'
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import { Stats } from 'common/stats'
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export default function Analytics() {
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const [stats, setStats] = useState<Stats | undefined>(undefined)
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useEffect(() => {
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getStats().then(setStats)
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}, [])
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if (stats == null) {
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return <></>
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}
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return (
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<Page>
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<Tabs
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currentPageForAnalytics={'stats'}
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tabs={[
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{
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title: 'Activity',
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content: <CustomAnalytics {...stats} />,
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},
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{
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title: 'Market Stats',
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content: <WasabiCharts />,
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},
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{
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title: 'Google Analytics',
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content: <FirebaseAnalytics />,
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},
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]}
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/>
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</Page>
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)
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}
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export function CustomAnalytics(props: {
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startDate: number
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dailyActiveUsers: number[]
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weeklyActiveUsers: number[]
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monthlyActiveUsers: number[]
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dailyBetCounts: number[]
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dailyContractCounts: number[]
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dailyCommentCounts: number[]
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dailySignups: number[]
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weekOnWeekRetention: number[]
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monthlyRetention: number[]
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weeklyActivationRate: number[]
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topTenthActions: {
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daily: number[]
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weekly: number[]
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monthly: number[]
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}
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manaBet: {
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daily: number[]
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weekly: number[]
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monthly: number[]
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}
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}) {
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const {
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dailyActiveUsers,
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dailyBetCounts,
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dailyContractCounts,
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dailyCommentCounts,
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dailySignups,
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weeklyActiveUsers,
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monthlyActiveUsers,
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weekOnWeekRetention,
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monthlyRetention,
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weeklyActivationRate,
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topTenthActions,
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manaBet,
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} = props
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const startDate = dayjs(props.startDate).add(12, 'hours').valueOf()
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const dailyDividedByWeekly = dailyActiveUsers
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.map((dailyActive, i) =>
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Math.round((100 * dailyActive) / weeklyActiveUsers[i])
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)
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.slice(7)
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const dailyDividedByMonthly = dailyActiveUsers
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.map((dailyActive, i) =>
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Math.round((100 * dailyActive) / monthlyActiveUsers[i])
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)
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.slice(7)
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const weeklyDividedByMonthly = weeklyActiveUsers
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.map((weeklyActive, i) =>
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Math.round((100 * weeklyActive) / monthlyActiveUsers[i])
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)
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.slice(7)
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const oneWeekLaterDate = startDate + 7 * 24 * 60 * 60 * 1000
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return (
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<Col className="px-2 sm:px-0">
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<Title text="Active users" />
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<p className="text-gray-500">
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An active user is a user who has traded in, commented on, or created a
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market.
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</p>
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<Spacer h={4} />
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<Tabs
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defaultIndex={1}
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tabs={[
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{
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title: 'Daily',
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content: (
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<DailyCountChart
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dailyCounts={dailyActiveUsers}
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startDate={startDate}
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small
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/>
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),
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},
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{
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title: 'Weekly',
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content: (
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<DailyCountChart
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dailyCounts={weeklyActiveUsers}
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startDate={startDate}
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small
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/>
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),
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},
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{
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title: 'Monthly',
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content: (
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<DailyCountChart
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dailyCounts={monthlyActiveUsers}
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startDate={startDate}
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small
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/>
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),
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},
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]}
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/>
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<Spacer h={8} />
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<Title text="Daily activity" />
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<Tabs
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defaultIndex={0}
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tabs={[
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{
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title: 'Trades',
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content: (
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<DailyCountChart
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dailyCounts={dailyBetCounts}
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startDate={startDate}
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small
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/>
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),
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},
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{
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title: 'Markets created',
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content: (
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<DailyCountChart
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dailyCounts={dailyContractCounts}
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startDate={startDate}
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small
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/>
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),
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},
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{
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title: 'Comments',
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content: (
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<DailyCountChart
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dailyCounts={dailyCommentCounts}
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startDate={startDate}
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small
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/>
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),
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},
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{
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title: 'Signups',
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content: (
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<DailyCountChart
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dailyCounts={dailySignups}
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startDate={startDate}
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small
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/>
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),
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},
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]}
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/>
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<Spacer h={8} />
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<Title text="Retention" />
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<p className="text-gray-500">
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What fraction of active users are still active after the given time
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period?
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</p>
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<Tabs
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defaultIndex={0}
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tabs={[
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{
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title: 'Weekly',
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content: (
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<DailyPercentChart
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dailyPercent={weekOnWeekRetention.slice(7)}
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startDate={oneWeekLaterDate}
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small
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/>
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),
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},
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{
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title: 'Monthly',
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content: (
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<DailyPercentChart
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dailyPercent={monthlyRetention.slice(7)}
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startDate={oneWeekLaterDate}
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small
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/>
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),
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},
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]}
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/>
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<Spacer h={8} />
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<Title text="Weekly activation rate" />
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<p className="text-gray-500">
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Out of all new users this week, how many placed at least one bet?
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</p>
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<DailyPercentChart
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dailyPercent={weeklyActivationRate.slice(7)}
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startDate={oneWeekLaterDate}
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small
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/>
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<Spacer h={8} />
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<Title text="Ratio of Active Users" />
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<Tabs
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defaultIndex={1}
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tabs={[
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{
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title: 'Daily / Weekly',
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content: (
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<DailyPercentChart
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dailyPercent={dailyDividedByWeekly}
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startDate={oneWeekLaterDate}
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small
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/>
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),
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},
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{
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title: 'Daily / Monthly',
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content: (
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<DailyPercentChart
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dailyPercent={dailyDividedByMonthly}
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startDate={oneWeekLaterDate}
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small
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/>
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),
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},
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{
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title: 'Weekly / Monthly',
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content: (
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<DailyPercentChart
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dailyPercent={weeklyDividedByMonthly}
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startDate={oneWeekLaterDate}
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small
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/>
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),
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},
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]}
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/>
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<Spacer h={8} />
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<Title text="Action count of top tenth" />
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<p className="text-gray-500">
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Number of actions (bets, comments, markets created) taken by the tenth
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percentile of top users.
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</p>
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<Tabs
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defaultIndex={1}
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tabs={[
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{
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title: 'Daily',
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content: (
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<DailyCountChart
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dailyCounts={topTenthActions.daily}
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startDate={startDate}
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small
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/>
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),
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},
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{
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title: 'Weekly',
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content: (
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<DailyCountChart
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dailyCounts={topTenthActions.weekly}
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startDate={startDate}
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small
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/>
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),
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},
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{
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title: 'Monthly',
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content: (
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<DailyCountChart
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dailyCounts={topTenthActions.monthly}
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startDate={startDate}
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small
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/>
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),
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},
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]}
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/>
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<Title text="Total mana bet" />
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<p className="text-gray-500">
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Sum of bet amounts. (Divided by 100 to be more readable.)
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</p>
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<Tabs
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defaultIndex={1}
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tabs={[
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{
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title: 'Daily',
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content: (
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<DailyCountChart
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dailyCounts={manaBet.daily}
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startDate={startDate}
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small
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/>
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),
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},
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{
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title: 'Weekly',
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content: (
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<DailyCountChart
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dailyCounts={manaBet.weekly}
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startDate={startDate}
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small
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/>
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),
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},
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{
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title: 'Monthly',
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content: (
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<DailyCountChart
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dailyCounts={manaBet.monthly}
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startDate={startDate}
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small
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/>
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),
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},
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]}
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/>
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</Col>
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)
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}
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export function FirebaseAnalytics() {
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// Edit dashboard at https://datastudio.google.com/u/0/reporting/faeaf3a4-c8da-4275-b157-98dad017d305/page/Gg3/edit
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return (
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<>
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<p className="text-gray-500">
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Less accurate; includes all viewers (not just signed-in users).
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</p>
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<Spacer h={4} />
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<iframe
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className="w-full"
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height={2200}
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src="https://datastudio.google.com/embed/reporting/faeaf3a4-c8da-4275-b157-98dad017d305/page/Gg3"
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frameBorder="0"
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style={{ border: 0 }}
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allowFullScreen
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/>
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</>
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)
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}
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export function WasabiCharts() {
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return (
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<>
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<p className="text-gray-500">
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Courtesy of <Linkify text="@wasabipesto" />; originally found{' '}
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<SiteLink
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className="font-bold"
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href="https://wasabipesto.com/jupyter/manifold/"
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>
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here.
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</SiteLink>
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</p>
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<Spacer h={4} />
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<iframe
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className="w-full"
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height={21000}
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src="https://wasabipesto.com/jupyter/manifold/"
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frameBorder="0"
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style={{ border: 0 }}
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allowFullScreen
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/>
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</>
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)
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}
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