manifold/web/pages/stats.tsx

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import dayjs from 'dayjs'
import { useEffect, useState } from 'react'
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import {
DailyCountChart,
DailyPercentChart,
} from 'web/components/analytics/charts'
import { Col } from 'web/components/layout/col'
import { Spacer } from 'web/components/layout/spacer'
import { Tabs } from 'web/components/layout/tabs'
import { Page } from 'web/components/page'
import { Title } from 'web/components/title'
import { SiteLink } from 'web/components/site-link'
import { Linkify } from 'web/components/linkify'
import { getStats } from 'web/lib/firebase/stats'
import { Stats } from 'common/stats'
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import { PAST_BETS } from 'common/user'
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import { capitalize } from 'lodash'
export default function Analytics() {
const [stats, setStats] = useState<Stats | undefined>(undefined)
useEffect(() => {
getStats().then(setStats)
}, [])
if (stats == null) {
return <></>
}
return (
<Page>
<Tabs
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currentPageForAnalytics={'stats'}
tabs={[
{
title: 'Activity',
content: <CustomAnalytics {...stats} />,
},
{
title: 'Market Stats',
content: <WasabiCharts />,
},
{
title: 'Google Analytics',
content: <FirebaseAnalytics />,
},
]}
/>
</Page>
)
}
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export function CustomAnalytics(props: Stats) {
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const {
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d1,
d1Weekly,
w1NewUsers,
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dailyActiveUsers,
dailyBetCounts,
dailyContractCounts,
dailyCommentCounts,
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dailySignups,
weeklyActiveUsers,
monthlyActiveUsers,
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weekOnWeekRetention,
monthlyRetention,
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weeklyActivationRate,
topTenthActions,
manaBet,
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} = props
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const startDate = dayjs(props.startDate).add(12, 'hours').valueOf()
const dailyDividedByWeekly = dailyActiveUsers
.map((dailyActive, i) =>
Math.round((100 * dailyActive) / weeklyActiveUsers[i])
)
.slice(7)
const dailyDividedByMonthly = dailyActiveUsers
.map((dailyActive, i) =>
Math.round((100 * dailyActive) / monthlyActiveUsers[i])
)
.slice(7)
const weeklyDividedByMonthly = weeklyActiveUsers
.map((weeklyActive, i) =>
Math.round((100 * weeklyActive) / monthlyActiveUsers[i])
)
.slice(7)
const oneWeekLaterDate = startDate + 7 * 24 * 60 * 60 * 1000
return (
<Col className="px-2 sm:px-0">
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<Title text="Active users" />
<p className="text-gray-500">
An active user is a user who has traded in, commented on, or created a
market.
</p>
<Spacer h={4} />
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<Tabs
defaultIndex={1}
tabs={[
{
title: 'Daily',
content: (
<DailyCountChart
dailyCounts={dailyActiveUsers}
startDate={startDate}
small
/>
),
},
{
title: 'Weekly',
content: (
<DailyCountChart
dailyCounts={weeklyActiveUsers}
startDate={startDate}
small
/>
),
},
{
title: 'Monthly',
content: (
<DailyCountChart
dailyCounts={monthlyActiveUsers}
startDate={startDate}
small
/>
),
},
]}
/>
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<Spacer h={8} />
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<Title text="D1" />
<p className="text-gray-500">
The fraction of users that took an action yesterday that took an action
today.
</p>
<Spacer h={4} />
<Tabs
defaultIndex={1}
tabs={[
{
title: 'D1',
content: (
<DailyCountChart dailyCounts={d1} startDate={startDate} small />
),
},
{
title: 'D1 weekly average',
content: (
<DailyCountChart
dailyCounts={d1Weekly}
startDate={startDate}
small
/>
),
},
]}
/>
<Spacer h={8} />
<Title text="W1 New users" />
<p className="text-gray-500">
The fraction of new users two weeks ago that took an action in the past
week.
</p>
<Spacer h={4} />
<Tabs
defaultIndex={0}
tabs={[
{
title: 'W1',
content: (
<DailyCountChart
dailyCounts={w1NewUsers}
startDate={startDate}
small
/>
),
},
]}
/>
<Spacer h={8} />
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<Title text="Daily activity" />
<Tabs
defaultIndex={0}
tabs={[
{
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title: capitalize(PAST_BETS),
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content: (
<DailyCountChart
dailyCounts={dailyBetCounts}
startDate={startDate}
small
/>
),
},
{
title: 'Markets created',
content: (
<DailyCountChart
dailyCounts={dailyContractCounts}
startDate={startDate}
small
/>
),
},
{
title: 'Comments',
content: (
<DailyCountChart
dailyCounts={dailyCommentCounts}
startDate={startDate}
small
/>
),
},
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{
title: 'Signups',
content: (
<DailyCountChart
dailyCounts={dailySignups}
startDate={startDate}
small
/>
),
},
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]}
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/>
<Spacer h={8} />
<Title text="Retention" />
<p className="text-gray-500">
What fraction of active users are still active after the given time
period?
</p>
<Tabs
defaultIndex={0}
tabs={[
{
title: 'Weekly',
content: (
<DailyPercentChart
dailyPercent={weekOnWeekRetention.slice(7)}
startDate={oneWeekLaterDate}
small
/>
),
},
{
title: 'Monthly',
content: (
<DailyPercentChart
dailyPercent={monthlyRetention.slice(7)}
startDate={oneWeekLaterDate}
small
/>
),
},
]}
/>
<Spacer h={8} />
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<Title text="Weekly activation rate" />
<p className="text-gray-500">
Out of all new users this week, how many placed at least one bet?
</p>
<DailyPercentChart
dailyPercent={weeklyActivationRate.slice(7)}
startDate={oneWeekLaterDate}
small
/>
<Spacer h={8} />
<Title text="Ratio of Active Users" />
<Tabs
defaultIndex={1}
tabs={[
{
title: 'Daily / Weekly',
content: (
<DailyPercentChart
dailyPercent={dailyDividedByWeekly}
startDate={oneWeekLaterDate}
small
/>
),
},
{
title: 'Daily / Monthly',
content: (
<DailyPercentChart
dailyPercent={dailyDividedByMonthly}
startDate={oneWeekLaterDate}
small
/>
),
},
{
title: 'Weekly / Monthly',
content: (
<DailyPercentChart
dailyPercent={weeklyDividedByMonthly}
startDate={oneWeekLaterDate}
small
/>
),
},
]}
/>
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<Spacer h={8} />
<Title text="Action count of top tenth" />
<p className="text-gray-500">
Number of actions (bets, comments, markets created) taken by the tenth
percentile of top users.
</p>
<Tabs
defaultIndex={1}
tabs={[
{
title: 'Daily',
content: (
<DailyCountChart
dailyCounts={topTenthActions.daily}
startDate={startDate}
small
/>
),
},
{
title: 'Weekly',
content: (
<DailyCountChart
dailyCounts={topTenthActions.weekly}
startDate={startDate}
small
/>
),
},
{
title: 'Monthly',
content: (
<DailyCountChart
dailyCounts={topTenthActions.monthly}
startDate={startDate}
small
/>
),
},
]}
/>
<Title text="Total mana bet" />
<p className="text-gray-500">
Sum of bet amounts. (Divided by 100 to be more readable.)
</p>
<Tabs
defaultIndex={1}
tabs={[
{
title: 'Daily',
content: (
<DailyCountChart
dailyCounts={manaBet.daily}
startDate={startDate}
small
/>
),
},
{
title: 'Weekly',
content: (
<DailyCountChart
dailyCounts={manaBet.weekly}
startDate={startDate}
small
/>
),
},
{
title: 'Monthly',
content: (
<DailyCountChart
dailyCounts={manaBet.monthly}
startDate={startDate}
small
/>
),
},
]}
/>
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</Col>
)
}
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export function FirebaseAnalytics() {
// 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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<>
<p className="text-gray-500">
Less accurate; includes all viewers (not just signed-in users).
</p>
<Spacer h={4} />
<iframe
className="w-full border-0"
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height={2200}
src="https://datastudio.google.com/embed/reporting/faeaf3a4-c8da-4275-b157-98dad017d305/page/Gg3"
frameBorder="0"
allowFullScreen
/>
</>
)
}
export function WasabiCharts() {
return (
<>
<p className="text-gray-500">
Courtesy of <Linkify text="@wasabipesto" />; originally found{' '}
<SiteLink
className="font-bold"
href="https://wasabipesto.com/jupyter/manifold/"
>
here.
</SiteLink>
</p>
<Spacer h={4} />
<iframe
className="w-full border-0"
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height={21000}
src="https://wasabipesto.com/jupyter/manifold/"
frameBorder="0"
allowFullScreen
/>
</>
)
}