Add D1 and W1 (new users) to stats
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James Grugett
parent
a9e5020904
commit
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@ -3,6 +3,9 @@ export type Stats = {
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dailyActiveUsers: number[]
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weeklyActiveUsers: number[]
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monthlyActiveUsers: number[]
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d1: number[]
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d1Weekly: number[]
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w1NewUsers: number[]
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dailyBetCounts: number[]
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dailyContractCounts: number[]
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dailyCommentCounts: number[]
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@ -142,40 +142,77 @@ export const updateStatsCore = async () => {
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const weeklyActiveUsers = dailyUserIds.map((_, i) => {
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const start = Math.max(0, i - 6)
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const end = i
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const uniques = new Set<string>()
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for (let j = start; j <= end; j++)
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dailyUserIds[j].forEach((userId) => uniques.add(userId))
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const end = i + 1
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const uniques = new Set<string>(dailyUserIds.slice(start, end).flat())
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return uniques.size
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})
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const monthlyActiveUsers = dailyUserIds.map((_, i) => {
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const start = Math.max(0, i - 29)
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const end = i
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const uniques = new Set<string>()
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for (let j = start; j <= end; j++)
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dailyUserIds[j].forEach((userId) => uniques.add(userId))
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const end = i + 1
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const uniques = new Set<string>(dailyUserIds.slice(start, end).flat())
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return uniques.size
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})
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const d1 = dailyUserIds.map((userIds, i) => {
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if (i === 0) return 0
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const uniques = new Set(userIds)
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const yesterday = dailyUserIds[i - 1]
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const retainedCount = sumBy(yesterday, (userId) =>
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uniques.has(userId) ? 1 : 0
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)
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return retainedCount / uniques.size
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})
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const d1Weekly = d1.map((_, i) => {
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const start = Math.max(0, i - 6)
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const end = i + 1
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return average(d1.slice(start, end))
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})
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const dailyNewUserIds = dailyNewUsers.map((users) => users.map((u) => u.id))
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const w1NewUsers = dailyNewUserIds.map((_userIds, i) => {
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if (i < 13) return 0
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const twoWeeksAgo = {
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start: Math.max(0, i - 13),
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end: Math.max(0, i - 6),
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}
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const lastWeek = {
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start: Math.max(0, i - 6),
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end: i + 1,
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}
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const newTwoWeeksAgo = new Set<string>(
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dailyNewUserIds.slice(twoWeeksAgo.start, twoWeeksAgo.end).flat()
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)
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const activeLastWeek = new Set<string>(
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dailyUserIds.slice(lastWeek.start, lastWeek.end).flat()
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)
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const retainedCount = sumBy(Array.from(newTwoWeeksAgo), (userId) =>
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activeLastWeek.has(userId) ? 1 : 0
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)
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const retainedFrac = retainedCount / newTwoWeeksAgo.size
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return Math.round(retainedFrac * 100 * 100) / 100
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})
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const weekOnWeekRetention = dailyUserIds.map((_userId, i) => {
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const twoWeeksAgo = {
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start: Math.max(0, i - 13),
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end: Math.max(0, i - 7),
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end: Math.max(0, i - 6),
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}
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const lastWeek = {
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start: Math.max(0, i - 6),
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end: i,
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end: i + 1,
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}
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const activeTwoWeeksAgo = new Set<string>()
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for (let j = twoWeeksAgo.start; j <= twoWeeksAgo.end; j++) {
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dailyUserIds[j].forEach((userId) => activeTwoWeeksAgo.add(userId))
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}
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const activeLastWeek = new Set<string>()
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for (let j = lastWeek.start; j <= lastWeek.end; j++) {
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dailyUserIds[j].forEach((userId) => activeLastWeek.add(userId))
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}
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const activeTwoWeeksAgo = new Set<string>(
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dailyUserIds.slice(twoWeeksAgo.start, twoWeeksAgo.end).flat()
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)
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const activeLastWeek = new Set<string>(
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dailyUserIds.slice(lastWeek.start, lastWeek.end).flat()
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)
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const retainedCount = sumBy(Array.from(activeTwoWeeksAgo), (userId) =>
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activeLastWeek.has(userId) ? 1 : 0
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)
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@ -185,22 +222,20 @@ export const updateStatsCore = async () => {
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const monthlyRetention = dailyUserIds.map((_userId, i) => {
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const twoMonthsAgo = {
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start: Math.max(0, i - 60),
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end: Math.max(0, i - 30),
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start: Math.max(0, i - 59),
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end: Math.max(0, i - 29),
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}
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const lastMonth = {
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start: Math.max(0, i - 30),
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end: i,
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start: Math.max(0, i - 29),
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end: i + 1,
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}
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const activeTwoMonthsAgo = new Set<string>()
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for (let j = twoMonthsAgo.start; j <= twoMonthsAgo.end; j++) {
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dailyUserIds[j].forEach((userId) => activeTwoMonthsAgo.add(userId))
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}
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const activeLastMonth = new Set<string>()
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for (let j = lastMonth.start; j <= lastMonth.end; j++) {
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dailyUserIds[j].forEach((userId) => activeLastMonth.add(userId))
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}
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const activeTwoMonthsAgo = new Set<string>(
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dailyUserIds.slice(twoMonthsAgo.start, twoMonthsAgo.end).flat()
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)
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const activeLastMonth = new Set<string>(
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dailyUserIds.slice(lastMonth.start, lastMonth.end).flat()
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)
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const retainedCount = sumBy(Array.from(activeTwoMonthsAgo), (userId) =>
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activeLastMonth.has(userId) ? 1 : 0
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)
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@ -254,12 +289,12 @@ export const updateStatsCore = async () => {
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})
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const weeklyTopTenthActions = dailyTopTenthActions.map((_, i) => {
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const start = Math.max(0, i - 6)
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const end = i
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const end = i + 1
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return average(dailyTopTenthActions.slice(start, end))
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})
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const monthlyTopTenthActions = dailyTopTenthActions.map((_, i) => {
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const start = Math.max(0, i - 29)
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const end = i
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const end = i + 1
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return average(dailyTopTenthActions.slice(start, end))
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})
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@ -269,16 +304,16 @@ export const updateStatsCore = async () => {
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})
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const weeklyManaBet = dailyManaBet.map((_, i) => {
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const start = Math.max(0, i - 6)
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const end = i
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const end = i + 1
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const total = sum(dailyManaBet.slice(start, end))
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if (end - start < 7) return (total * 7) / (end - start)
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return total
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})
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const monthlyManaBet = dailyManaBet.map((_, i) => {
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const start = Math.max(0, i - 29)
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const end = i
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const end = i + 1
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const total = sum(dailyManaBet.slice(start, end))
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const range = end - start + 1
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const range = end - start
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if (range < 30) return (total * 30) / range
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return total
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})
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@ -288,6 +323,9 @@ export const updateStatsCore = async () => {
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dailyActiveUsers,
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weeklyActiveUsers,
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monthlyActiveUsers,
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d1,
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d1Weekly,
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w1NewUsers,
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dailyBetCounts,
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dailyContractCounts,
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dailyCommentCounts,
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@ -47,30 +47,11 @@ export default function Analytics() {
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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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export function CustomAnalytics(props: Stats) {
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const {
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d1,
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d1Weekly,
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w1NewUsers,
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dailyActiveUsers,
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dailyBetCounts,
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dailyContractCounts,
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@ -153,6 +134,60 @@ export function CustomAnalytics(props: {
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/>
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<Spacer h={8} />
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<Title text="D1" />
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<p className="text-gray-500">
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The fraction of users that took an action yesterday that took an action
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today.
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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: 'D1',
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content: (
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<DailyCountChart dailyCounts={d1} startDate={startDate} small />
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),
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},
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{
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title: 'D1 weekly average',
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content: (
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<DailyCountChart
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dailyCounts={d1Weekly}
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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="W1 New users" />
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<p className="text-gray-500">
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The fraction of new users two weeks ago that took an action in the past
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week.
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</p>
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<Spacer h={4} />
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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: 'W1',
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content: (
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<DailyCountChart
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dailyCounts={w1NewUsers}
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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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