From 18211f826e14fe7995d47c205231ade32dc9c1aa Mon Sep 17 00:00:00 2001
From: Kasper Welbers <kasperwelbers@gmail.com>
Date: Fri, 17 Nov 2023 15:32:53 +0100
Subject: [PATCH] add visualizations

---
 package.json                                  |   4 +-
 public/port-0.0.0-py3-none-any.whl            | Bin 10001 -> 10604 bytes
 .../py/dist/port-0.0.0-py3-none-any.whl       | Bin 10001 -> 10604 bytes
 src/framework/processing/py/port/script.py    | 188 +++++++++++++++++-
 src/framework/types/visualizations.ts         |   5 +-
 .../react/ui/elements/figure.tsx              |  10 +-
 .../ui/elements/figures/recharts_graph.tsx    |   3 +-
 .../react/ui/elements/table_container.tsx     |   1 +
 .../react/ui/prompts/consent_form.tsx         |   3 +-
 .../prepareChartData.ts                       | 175 +++++++++++-----
 .../visualizationDataFunctions/util.ts        | 144 +++++++++-----
 src/index.tsx                                 |   2 +-
 12 files changed, 422 insertions(+), 113 deletions(-)

diff --git a/package.json b/package.json
index 6945f87..dce1be5 100644
--- a/package.json
+++ b/package.json
@@ -41,7 +41,7 @@
     "release": "npm run build && npm run archive",
     "test": "react-scripts test",
     "lint": "npm run fix:ts",
-    "watch": "concurrently 'npm run dev:start' 'nodemon --ext py --exec \"npm run build:py\"'",
+    "watch": "concurrently 'npm run start:app' 'nodemon --ext py --exec \"npm run build:py\"'",
     "watch:ts": "tsc -watch"
   },
   "browserslist": {
@@ -76,4 +76,4 @@
       "src/framework/processing/py_worker.js"
     ]
   }
-}
\ No newline at end of file
+}
diff --git a/public/port-0.0.0-py3-none-any.whl b/public/port-0.0.0-py3-none-any.whl
index fcca411d1ffa1d045956a40a26d5b044868902a9..63bd6fe9744c1d1266bf995a2dac711e92905337 100644
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diff --git a/src/framework/processing/py/dist/port-0.0.0-py3-none-any.whl b/src/framework/processing/py/dist/port-0.0.0-py3-none-any.whl
index fcca411d1ffa1d045956a40a26d5b044868902a9..63bd6fe9744c1d1266bf995a2dac711e92905337 100644
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diff --git a/src/framework/processing/py/port/script.py b/src/framework/processing/py/port/script.py
index 89f9b83..b89a0d1 100644
--- a/src/framework/processing/py/port/script.py
+++ b/src/framework/processing/py/port/script.py
@@ -248,12 +248,15 @@ def extract_summary_data(zipfile):
         ],
     }
 
+    visualizations = []
+
     return ExtractionResult(
         "instagram_summary",
         props.Translatable(
             {"en": "Summary information", "nl": "Samenvatting gegevens"}
         ),
         pd.DataFrame(summary_data),
+        visualizations,
     )
 
 
@@ -271,12 +274,35 @@ def extract_direct_message_activity(zipfile):
             timestamps.append(parse_datetime(message["timestamp_ms"] / 1000))
     df = pd.DataFrame({"Anonymous ID": sender_ids, "Sent": timestamps})
     df["Sent"] = pd.to_datetime(df["Sent"]).dt.strftime("%Y-%m-%d %H:%M")
+
+    visualizations = [
+        props.PropsUIChartVisualization(
+            title=props.Translatable(
+                {
+                    "en": "Direct message activity over time",
+                    "nl": "Direct message activiteit in de loop van de tijd",
+                }
+            ),
+            type="area",
+            group=props.PropsUIChartGroup(column="Sent", dateFormat="auto"),
+            values=[
+                props.PropsUIChartValue(
+                    label="Messages",
+                    column="Anonymous ID",
+                    aggregate="count",
+                    addZeroes=True,
+                )
+            ],
+        )
+    ]
+
     return ExtractionResult(
         "instagram_direct_message_activity",
         props.Translatable(
             {"en": "Direct message activity", "nl": "Bericht activiteit"}
         ),
         df,
+        visualizations
     )
 
 
@@ -290,10 +316,33 @@ def extract_comment_activity(zipfile):
     df = pd.DataFrame({"Posted": timestamps})
     df = df.sort_values("Posted")
     df["Posted"] = pd.to_datetime(df["Posted"]).dt.strftime("%Y-%m-%d %H:%M")
+
+    visualizations = [
+        props.PropsUIChartVisualization(
+            title=props.Translatable(
+                {
+                    "en": "Comment activity over time",
+                    "nl": "Comment activiteit in de loop van de tijd",
+                }
+            ),
+            type="area",
+            group=props.PropsUIChartGroup(column="Posted", dateFormat="auto"),
+            values=[
+                props.PropsUIChartValue(
+                    label="Comment activity",
+                    column="Posted",
+                    aggregate="count",
+                    addZeroes=True,
+                )
+            ],
+        )
+    ]
+
     return ExtractionResult(
         "instagram_comment_activity",
         props.Translatable({"en": "Comment activity", "nl": "Commentaar activiteit"}),
         df,
+        visualizations
     )
 
 
@@ -308,10 +357,33 @@ def extract_posts_liked(zipfile):
     df = pd.DataFrame({"Liked": timestamps, "Link": urls})
     df["Liked"] = pd.to_datetime(df["Liked"]).dt.strftime("%Y-%m-%d %H:%M")
     df = df.sort_values("Liked")
+
+    visualizations = [
+        props.PropsUIChartVisualization(
+            title=props.Translatable(
+                {
+                    "en": "Posts like per hour of the day",
+                    "nl": "Posts geliked per uur van de dag",
+                }
+            ),
+            type="bar",
+            group=props.PropsUIChartGroup(column="Liked", dateFormat="hour_cycle"),
+            values=[
+                props.PropsUIChartValue(
+                    label="likes",
+                    column="Link",
+                    aggregate="count",
+                    addZeroes=True,
+                )
+            ],
+        )
+    ]
+
     return ExtractionResult(
         "instagram_posts_liked",
         props.Translatable({"en": "Posts Liked", "nl": "Geliked"}),
         df,
+        visualizations
     )
 
 
@@ -366,7 +438,7 @@ def df_from_timestamp_columns(a, b):
         right_on="timestamp",
         how="outer",
     ).sort_index()
-    df["Date"] = pd.to_datetime(df["timestamp"]).dt.strftime("%Y-%m-%d")
+    df["Date"] = pd.to_datetime(df["timestamp"]).dt.strftime("%Y-%m-%d %H:00:00")
     df["Timeslot"] = map_to_timeslot(pd.to_datetime(df["timestamp"]).dt.hour)
     df = df.reset_index(drop=True)
     df = (
@@ -392,10 +464,38 @@ def extract_video_posts(zipfile):
     df = df_from_timestamp_columns(
         (video_timestamps, "Videos"), (stories_timestamps(zipfile), "Stories")
     )
+
+    visualizations = [
+        props.PropsUIChartVisualization(
+            title=props.Translatable(
+                {
+                    "en": "Videos and stories over time",
+                    "nl": "Video's en stories in de loop van de tijd",
+                }
+            ),
+            type="line",
+            group=props.PropsUIChartGroup(column="Date", dateFormat="auto"),
+            values=[
+                props.PropsUIChartValue(
+                    label="Videos",
+                    column="Videos",
+                    aggregate="sum",
+                    addZeroes=True,
+                ),
+                props.PropsUIChartValue(
+                    label="Stories",
+                    column="Stories",
+                    aggregate="sum",
+                    addZeroes=True,
+                )
+            ],
+        )
+    ]
     return ExtractionResult(
         "instagram_video_posts",
         props.Translatable({"en": "Posts", "nl": "Posts"}),
         df,
+        visualizations
     )
 
 
@@ -434,10 +534,39 @@ def extract_comments_and_likes(zipfile):
     df = df_from_timestamp_columns(
         (comment_timestamps, "Comments"), (likes_timestamps, "Likes")
     )
+
+    visualizations = [
+        props.PropsUIChartVisualization(
+            title=props.Translatable(
+                {
+                    "en": "Comments and likes over time",
+                    "nl": "Comments en likes in de loop van de tijd",
+                }
+            ),
+            type="line",
+            group=props.PropsUIChartGroup(column="Date", dateFormat="auto"),
+            values=[
+                props.PropsUIChartValue(
+                    label="Comments",
+                    column="Comments",
+                    aggregate="sum",
+                    addZeroes=True,
+                ),
+                props.PropsUIChartValue(
+                    label="Likes",
+                    column="Likes",
+                    aggregate="sum",
+                    addZeroes=True,
+                )
+            ],
+        )
+    ]
+
     return ExtractionResult(
         "instagram_comments_and_likes",
         props.Translatable({"en": "Comments and likes", "nl": "Comments en likes"}),
         df,
+        visualizations
     )
 
 
@@ -460,10 +589,39 @@ def extract_viewed(zipfile):
             "Posts",
         ),
     )
+
+    visualizations = [
+        props.PropsUIChartVisualization(
+            title=props.Translatable(
+                {
+                    "en": "The number of videos and posts you viewed over time",
+                    "nl": "Het aantal video's en berichten dat u in de loop van de tijd heeft bekeken",
+                }
+            ),
+            type="line",
+            group=props.PropsUIChartGroup(column="Date", dateFormat="auto"),
+            values=[
+                props.PropsUIChartValue(
+                    label="Videos",
+                    column="Videos",
+                    aggregate="sum",
+                    addZeroes=True,
+                ),
+                props.PropsUIChartValue(
+                    label="Posts",
+                    column="Posts",
+                    aggregate="sum",
+                    addZeroes=True,
+                )
+            ],
+        )
+    ]
+
     return ExtractionResult(
         "instagram_viewed",
         props.Translatable({"en": "Viewed", "nl": "Viewed"}),
         df,
+        visualizations
     )
 
 
@@ -483,10 +641,32 @@ def extract_session_info(zipfile):
     df = df.drop("End", axis=1)
     df = df.drop("Duration", axis=1)
 
+    visualizations = [
+        props.PropsUIChartVisualization(
+            title=props.Translatable(
+                {
+                    "en": "Number of minutes spent on Instagram over time (!number don't seem right. Needs double check)",
+                    "nl": "Aantal minuten besteed aan Instagram in de loop van de tijd (!number don't seem right. Needs double check)",
+                }
+            ),
+            type="line",
+            group=props.PropsUIChartGroup(column="Start", dateFormat="auto"),
+            values=[
+                props.PropsUIChartValue(
+                    label="Minutes",
+                    column="Duration (in minutes)",
+                    aggregate="sum",
+                    addZeroes=True,
+                )
+            ]
+        )
+    ]
+
     return ExtractionResult(
         "instagram_session_info",
         props.Translatable({"en": "Session information", "nl": "Sessie informatie"}),
         df,
+        visualizations
     )
 
 
@@ -512,7 +692,7 @@ def extract_data(path):
 ######################
 
 
-ExtractionResult = namedtuple("ExtractionResult", ["id", "title", "data_frame"])
+ExtractionResult = namedtuple("ExtractionResult", ["id", "title", "data_frame", "visualizations"])
 
 
 class SkipToNextStep(Exception):
@@ -537,7 +717,7 @@ def process(self):
                 try:
                     extraction_result = self.extract_data(file_result.value)
                 except IOError as e:
-                    raise
+                    # raise
                     self.log(f"prompt confirmation to retry file selection")
                     yield from self.prompt_retry()
                     return
@@ -583,7 +763,7 @@ def prompt_consent(self, data):
         log_title = props.Translatable({"en": "Log messages", "nl": "Log berichten"})
 
         tables = [
-            props.PropsUIPromptConsentFormTable(table.id, table.title, table.data_frame)
+            props.PropsUIPromptConsentFormTable(table.id, table.title, table.data_frame, table.visualizations)
             for table in data
         ]
         meta_frame = pd.DataFrame(self.meta_data, columns=["type", "message"])
diff --git a/src/framework/types/visualizations.ts b/src/framework/types/visualizations.ts
index 5e5fb8b..2bf9a61 100644
--- a/src/framework/types/visualizations.ts
+++ b/src/framework/types/visualizations.ts
@@ -18,7 +18,8 @@ export interface AggregationGroup {
   label?: string
   column: string
   dateFormat?: DateFormat
-  tokenize?: boolean
+  range?: [number, number]
+  levels?: string[]
 }
 
 export interface AggregationValue {
@@ -64,6 +65,7 @@ export interface AxisSettings {
 }
 
 export type TickerFormat = 'percent' | 'default'
+export type XType = 'string' | 'date'
 
 export interface ChartVisualizationData {
   type: 'line' | 'bar' | 'area'
@@ -86,5 +88,4 @@ export type DateFormat =
   | 'hour'
   | 'month_cycle'
   | 'weekday_cycle'
-  | 'day_cycle'
   | 'hour_cycle'
diff --git a/src/framework/visualisation/react/ui/elements/figure.tsx b/src/framework/visualisation/react/ui/elements/figure.tsx
index 25b454b..aab702f 100644
--- a/src/framework/visualisation/react/ui/elements/figure.tsx
+++ b/src/framework/visualisation/react/ui/elements/figure.tsx
@@ -38,6 +38,7 @@ export const Figure = ({
   handleDelete,
   handleUndo
 }: Props): JSX.Element => {
+  console.log('okdss')
   const [visualizationData, status] = useVisualizationData(table, visualization)
 
   const { title } = useMemo(() => {
@@ -47,7 +48,7 @@ export const Figure = ({
 
   const { errorMsg, noDataMsg } = useMemo(() => prepareCopy(locale), [locale])
 
-  if ((visualizationData == null) && status === 'loading') {
+  if (visualizationData == null && status === 'loading') {
     return (
       <div className='w-12 h-12'>
         <Lottie animationData={spinnerDark} loop />
@@ -55,7 +56,9 @@ export const Figure = ({
     )
   }
 
-  if (status === 'error') { return <div className='flex justify-center items-center text-error'>{errorMsg}</div> }
+  if (status === 'error') {
+    return <div className='flex justify-center items-center text-error'>{errorMsg}</div>
+  }
 
   const visualizationHeightTruthy = Boolean(visualization.height)
   const minHeight = visualizationHeightTruthy ? `${visualization.height ?? ''} px` : '20rem'
@@ -95,8 +98,7 @@ const RenderVisualization = memo(
     }
 
     if (visualizationData.type === 'wordcloud') {
-      const textVisualizationData: TextVisualizationData =
-        visualizationData
+      const textVisualizationData: TextVisualizationData = visualizationData
       if (textVisualizationData.topTerms.length === 0) return fallback
       return <VisxWordcloud visualizationData={textVisualizationData} />
     }
diff --git a/src/framework/visualisation/react/ui/elements/figures/recharts_graph.tsx b/src/framework/visualisation/react/ui/elements/figures/recharts_graph.tsx
index 6d1d155..e69bfa0 100644
--- a/src/framework/visualisation/react/ui/elements/figures/recharts_graph.tsx
+++ b/src/framework/visualisation/react/ui/elements/figures/recharts_graph.tsx
@@ -23,6 +23,7 @@ interface Props {
 }
 
 export default function RechartsGraph ({ visualizationData }: Props): JSX.Element | null {
+  console.log(visualizationData)
   function tooltip (): JSX.Element {
     return (
       <Tooltip
@@ -99,7 +100,7 @@ export default function RechartsGraph ({ visualizationData }: Props): JSX.Elemen
   if (visualizationData.type === 'bar') {
     chart = (
       <BarChart data={visualizationData.data}>
-        {axes(0)}
+        {axes(5)}
         {tooltip()}
         {legend()}
         {Object.values(visualizationData.yKeys).map((yKey: AxisSettings, i: number) => {
diff --git a/src/framework/visualisation/react/ui/elements/table_container.tsx b/src/framework/visualisation/react/ui/elements/table_container.tsx
index 9addec3..68b6f35 100644
--- a/src/framework/visualisation/react/ui/elements/table_container.tsx
+++ b/src/framework/visualisation/react/ui/elements/table_container.tsx
@@ -22,6 +22,7 @@ export const TableContainer = ({
   updateTable,
   locale
 }: TableContainerProps): JSX.Element => {
+  console.log('refresh2')
   const tableVisualizations = table.visualizations != null ? table.visualizations : []
   const [searchFilterIds, setSearchFilterIds] = useState<Set<string>>()
   const [search, setSearch] = useState<string>('')
diff --git a/src/framework/visualisation/react/ui/prompts/consent_form.tsx b/src/framework/visualisation/react/ui/prompts/consent_form.tsx
index 0590a9d..b34ab4d 100644
--- a/src/framework/visualisation/react/ui/prompts/consent_form.tsx
+++ b/src/framework/visualisation/react/ui/prompts/consent_form.tsx
@@ -80,7 +80,8 @@ export const ConsentForm = (props: Props): JSX.Element => {
 
   function rows (data: any): PropsUITableRow[] {
     const result: PropsUITableRow[] = []
-    for (let row = 0; row <= rowCount(data); row++) {
+    const n = rowCount(data)
+    for (let row = 0; row <= n; row++) {
       const id = `${row}`
       const cells = columnNames(data).map((column: string) => rowCell(data, column, row))
       result.push({ __type__: 'PropsUITableRow', id, cells })
diff --git a/src/framework/visualisation/react/ui/workers/visualizationDataFunctions/prepareChartData.ts b/src/framework/visualisation/react/ui/workers/visualizationDataFunctions/prepareChartData.ts
index f56d9a2..0aeba7d 100644
--- a/src/framework/visualisation/react/ui/workers/visualizationDataFunctions/prepareChartData.ts
+++ b/src/framework/visualisation/react/ui/workers/visualizationDataFunctions/prepareChartData.ts
@@ -10,7 +10,48 @@ export async function prepareChartData (
   table: PropsUITable & TableContext,
   visualization: ChartVisualization
 ): Promise<ChartVisualizationData> {
-  const visualizationData: ChartVisualizationData = {
+  if (table.body.rows.length === 0) return emptyVisualizationData(visualization)
+
+  const aggregate = aggregateData(table, visualization)
+  return createVisualizationData(visualization, aggregate)
+}
+
+function createVisualizationData (
+  visualization: ChartVisualization,
+  aggregate: Record<string, PrepareAggregatedData>
+): ChartVisualizationData {
+  const visualizationData = emptyVisualizationData(visualization)
+
+  for (const aggdata of Object.values(aggregate)) {
+    for (const group of Object.keys(aggdata.values)) {
+      if (visualizationData.yKeys[group] === undefined) {
+        visualizationData.yKeys[group] = {
+          label: group,
+          secondAxis: aggdata.secondAxis,
+          tickerFormat: aggdata.tickerFormat
+        }
+      }
+    }
+  }
+
+  visualizationData.data = Object.values(aggregate)
+    .sort((a: any, b: any) => (a.sortBy < b.sortBy ? -1 : b.sortBy < a.sortBy ? 1 : 0))
+    .map((d) => {
+      for (const key of Object.keys(d.values)) d.values[key] = Math.round(d.values[key] * 100) / 100
+
+      return {
+        ...d.values,
+        [d.xLabel]: d.xValue,
+        __rowIds: d.rowIds,
+        __sortBy: d.sortBy
+      }
+    })
+
+  return visualizationData
+}
+
+function emptyVisualizationData (visualization: ChartVisualization): ChartVisualizationData {
+  return {
     type: visualization.type,
     xKey: {
       label:
@@ -21,34 +62,27 @@ export async function prepareChartData (
     yKeys: {},
     data: []
   }
+}
 
-  if (table.body.rows.length === 0) return visualizationData
+function aggregateData (
+  table: PropsUITable & TableContext,
+  visualization: ChartVisualization
+): Record<string, PrepareAggregatedData> {
+  const aggregate: Record<string, PrepareAggregatedData> = {}
 
-  // First get the unique values of the x column
+  const { groupBy, xSortable } = prepareX(table, visualization)
   const rowIds = table.body.rows.map((row) => row.id)
+  const xLabel =
+    visualization.group.label !== undefined ? visualization.group.label : visualization.group.column
 
-  let groupBy = getTableColumn(table, visualization.group.column)
-  // KASPER CHECK: I think the first clause in the statement can go
-  // getTableColumn will return a string array or errs out
-  // so only check for length is still doing something
-  if (groupBy.length === 0) {
-    throw new Error(`X column ${table.id}.${visualization.group.column} not found`)
-  }
-  let xSortable: Array<string | number> | null = null // separate variable allows using epoch time for sorting dates
-
-  // ADD CODE TO TRANSFORM TO DATE, BUT THEN ALSO KEEP AN INDEX BASED ON THE DATE ORDER
-  if (visualization.group.dateFormat !== undefined) {
-    ;[groupBy, xSortable] = formatDate(groupBy, visualization.group.dateFormat)
-  }
-
-  const aggregate: Record<string, PrepareAggregatedData> = {}
   for (const value of visualization.values) {
+    // loop over all y values
+
     const aggFun = value.aggregate !== undefined ? value.aggregate : 'count'
     let tickerFormat: TickerFormat = 'default'
     if (aggFun === 'pct' || aggFun === 'count_pct') tickerFormat = 'percent'
 
     const yValues = getTableColumn(table, value.column)
-    // KASPER CHECK
     if (yValues.length === 0) throw new Error(`Y column ${table.id}.${value.column} not found`)
 
     // If group_by column is specified, the columns in the aggregated data will be the unique group_by columns
@@ -57,37 +91,63 @@ export async function prepareChartData (
     // if missing values should be treated as zero, we need to add the missing values after knowing all groups
     const addZeroes = value.addZeroes ?? false
     const groupSummary: Record<string, { n: number, sum: number }> = {}
-    const uniqueGroups = new Set<string>([])
 
-    for (let i = 0; i < groupBy.length; i++) {
+    // if addZeroes, prefill with all possible values
+    if (addZeroes && xSortable != null) {
+      for (const [uniqueValue, sortby] of Object.entries(xSortable)) {
+        if (aggregate[uniqueValue] !== undefined) continue
+        aggregate[uniqueValue] = {
+          sortBy: sortby,
+          rowIds: {},
+          xLabel,
+          xValue: uniqueValue,
+          values: {},
+          secondAxis: value.secondAxis,
+          tickerFormat
+        }
+      }
+    }
+
+    for (let i = 0; i < rowIds.length; i++) {
+      // loop over rows of table
       const xValue = groupBy[i]
+
+      if (visualization.group.range !== undefined) {
+        if (
+          Number(xValue) < visualization.group.range[0] ||
+          Number(xValue) > visualization.group.range[1]
+        ) {
+          continue
+        }
+      }
+
+      // SHOULD GROUP BE IGNORED IF NOT IN group.levels? MAYBE NOT, BECAUSE
+      // THIS COULD HARM INFORMED CONSENT IF THE RESEARCHER IS UNAWARE OF CERTAIN GROUPS
+      // if (visualization.group.levels !== undefined) {
+      //   // formatLevels has xSortable < 0 if no match with levels
+      //   if (xSortable !== null && xSortable[i] < 0) continue
+      // }
+
       const yValue = yValues[i]
-      const group =
-        yGroup != null ? yGroup[i] : value.label !== undefined ? value.label : value.column
-      if (addZeroes) uniqueGroups.add(group)
-      const sortBy = xSortable != null ? xSortable[i] : groupBy[i]
+      const label = value.label !== undefined ? value.label : value.column
+      const group = yGroup != null ? yGroup[i] : label
+
+      const sortBy = xSortable != null ? xSortable[xValue] : groupBy[i]
 
       // calculate group summary statistics. This is used for the mean, pct and count_pct aggregations
       if (groupSummary[group] === undefined) groupSummary[group] = { n: 0, sum: 0 }
       if (aggFun === 'count_pct' || aggFun === 'mean') groupSummary[group].n += 1
       if (aggFun === 'pct') groupSummary[group].sum += Number(yValue) ?? 0
 
-      // add the AxisSettings for the yKeys in this loop, because we need to get the unique group values from the data (if group_by is used)
-      if (visualizationData.yKeys[group] === undefined) {
-        visualizationData.yKeys[group] = {
-          label: group,
-          secondAxis: value.secondAxis !== undefined,
-          tickerFormat
-        }
-      }
-
       if (aggregate[xValue] === undefined) {
         aggregate[xValue] = {
           sortBy: sortBy,
           rowIds: {},
-          xLabel: visualizationData.xKey.label,
+          xLabel,
           xValue: String(xValue),
-          values: {}
+          values: {},
+          secondAxis: value.secondAxis,
+          tickerFormat
         }
       }
       if (aggregate[xValue].rowIds[group] === undefined) aggregate[xValue].rowIds[group] = []
@@ -100,6 +160,7 @@ export async function prepareChartData (
       }
     }
 
+    // use groupSummary to calculate the mean, pct and count_pct aggregations
     Object.keys(groupSummary).forEach((group) => {
       for (const xValue of Object.keys(aggregate)) {
         if (aggregate[xValue].values[group] === undefined) {
@@ -122,19 +183,35 @@ export async function prepareChartData (
     })
   }
 
-  visualizationData.data = Object.values(aggregate)
-    .sort((a: any, b: any) => (a.sortBy < b.sortBy ? -1 : b.sortBy < a.sortBy ? 1 : 0))
-    .map((d) => {
-      for (const key of Object.keys(d.values)) d.values[key] = Math.round(d.values[key] * 100) / 100
-      return {
-        ...d.values,
-        [d.xLabel]: d.xValue,
-        __rowIds: d.rowIds,
-        __sortBy: d.sortBy
-      }
-    })
+  return aggregate
+}
 
-  return visualizationData
+function prepareX (
+  table: PropsUITable & TableContext,
+  visualization: ChartVisualization
+): { groupBy: string[], xSortable: Record<string, string | number> | null } {
+  let groupBy = getTableColumn(table, visualization.group.column)
+  if (groupBy.length === 0) {
+    throw new Error(`X column ${table.id}.${visualization.group.column} not found`)
+  }
+  // let xSortable: Array<string | number> | null = null // separate variable allows using epoch time for sorting dates
+  let xSortable: Record<string, string | number> | null = null // map x values to sortable values
+
+  // ADD CODE TO TRANSFORM TO DATE, BUT THEN ALSO KEEP AN INDEX BASED ON THE DATE ORDER
+  if (visualization.group.dateFormat !== undefined) {
+    ;[groupBy, xSortable] = formatDate(groupBy, visualization.group.dateFormat)
+  }
+
+  if (visualization.group.levels !== undefined) {
+    xSortable = {}
+
+    for (let i = 0; i < visualization.group.levels.length; i++) {
+      const level = visualization.group.levels[i]
+      xSortable[level] = i
+    }
+  }
+
+  return { groupBy, xSortable }
 }
 
 export interface PrepareAggregatedData {
@@ -143,4 +220,6 @@ export interface PrepareAggregatedData {
   values: Record<string, number>
   rowIds: Record<string, string[]>
   sortBy: number | string
+  secondAxis?: boolean
+  tickerFormat?: TickerFormat
 }
diff --git a/src/framework/visualisation/react/ui/workers/visualizationDataFunctions/util.ts b/src/framework/visualisation/react/ui/workers/visualizationDataFunctions/util.ts
index dcafe84..336fa4c 100644
--- a/src/framework/visualisation/react/ui/workers/visualizationDataFunctions/util.ts
+++ b/src/framework/visualisation/react/ui/workers/visualizationDataFunctions/util.ts
@@ -1,84 +1,128 @@
 import { PropsUITable, TableContext } from '../../../../../types/elements'
 import { DateFormat } from '../../../../../types/visualizations'
 
-export function autoFormatDate (dateNumbers: number[], minValues: number): DateFormat {
-  const minTime = Math.min(...dateNumbers)
-  const maxTime = Math.max(...dateNumbers)
-
-  let autoFormat: DateFormat = 'hour'
-  if (maxTime - minTime > 1000 * 60 * 60 * 24 * minValues) autoFormat = 'day'
-  if (maxTime - minTime > 1000 * 60 * 60 * 24 * 30 * minValues) autoFormat = 'month'
-  if (maxTime - minTime > 1000 * 60 * 60 * 24 * 30 * 3 * minValues) autoFormat = 'quarter'
-  if (maxTime - minTime > 1000 * 60 * 60 * 24 * 365 * minValues) autoFormat = 'year'
-
-  return autoFormat
-}
-
 export function formatDate (
   dateString: string[],
   format: DateFormat,
   minValues: number = 10
-): [string[], number[] | null] {
+): [string[], Record<string, number> | null] {
   let formattedDate: string[] = dateString
   const dateNumbers = dateString.map((date) => new Date(date).getTime())
-  let sortableDate: number[] | null = null
+  let domain: [number, number] | null = null
+  let formatter: (date: Date) => string = (date) => date.toISOString()
 
   if (format === 'auto') format = autoFormatDate(dateNumbers, minValues)
 
-  if (format === 'year') {
-    formattedDate = dateNumbers.map((date) => new Date(date).getFullYear().toString())
-    sortableDate = dateNumbers
-  }
+  if (format === 'year') formatter = (date) => date.getFullYear().toString()
+
   if (format === 'quarter') {
-    formattedDate = dateNumbers.map((date) => {
-      const year = new Date(date).getFullYear().toString()
-      const quarter = Math.floor(new Date(date).getMonth() / 3) + 1
+    formatter = (date) => {
+      const year = date.getFullYear().toString()
+      const quarter = Math.floor(date.getMonth() / 3) + 1
       return `${year}-Q${quarter}`
-    })
-    sortableDate = dateNumbers
+    }
   }
+
   if (format === 'month') {
-    formattedDate = dateNumbers.map((date) => {
-      const year = new Date(date).getFullYear().toString()
-      const month = new Date(date).toLocaleString('default', { month: 'short' })
-      return year + '-' + month
-    })
-    sortableDate = dateNumbers
+    formatter = (date) => {
+      const year = date.getFullYear().toString()
+      const month = date.toLocaleString('default', { month: 'short' })
+      return `${year}-${month}`
+    }
   }
+
   if (format === 'day') {
-    formattedDate = dateNumbers.map((date) => new Date(date).toISOString().split('T')[0])
-    sortableDate = dateNumbers
+    formatter = (date) => {
+      const year = date.getFullYear().toString()
+      const month = date.toLocaleString('default', { month: 'short' })
+      const day = date.getDate().toString()
+      return `${year}-${month}-${day}`
+    }
   }
+
   if (format === 'hour') {
-    formattedDate = dateNumbers.map(
-      (date) => new Date(date).toISOString().split('T')[1].split(':')[0]
-    )
-    sortableDate = dateNumbers
+    formatter = (date) => {
+      return date.toISOString().split('T')[1].split(':')[0]
+    }
   }
+
   if (format === 'month_cycle') {
-    const formatter = new Intl.DateTimeFormat('default', { month: 'long' })
-    formattedDate = dateNumbers.map((date) => formatter.format(new Date(date)))
-    sortableDate = dateNumbers.map((date) => new Date(date).getMonth())
+    formatter = (date) => {
+      const intlFormatter = new Intl.DateTimeFormat('default', { month: 'long' })
+      return intlFormatter.format(date)
+    }
+    // can be any year, starting at january
+    domain = [new Date('2000-01-01').getTime(), new Date('2001-01-01').getTime()]
   }
   if (format === 'weekday_cycle') {
-    const formatter = new Intl.DateTimeFormat('default', { weekday: 'long' })
-    formattedDate = dateNumbers.map((date) => formatter.format(new Date(date)))
-    sortableDate = dateNumbers.map((date) => new Date(date).getDay())
-  }
-  if (format === 'day_cycle') {
-    const formatter = new Intl.DateTimeFormat('default', { day: 'numeric' })
-    formattedDate = dateNumbers.map((date) => formatter.format(new Date(date)))
-    sortableDate = dateNumbers.map((date) => new Date(date).getDay())
+    formatter = (date) => {
+      const intlFormatter = new Intl.DateTimeFormat('default', { weekday: 'long' })
+      return intlFormatter.format(date)
+    }
+    // can be any full week, starting at monday
+    domain = [new Date('2023-11-06').getTime(), new Date('2023-11-13').getTime()]
   }
   if (format === 'hour_cycle') {
-    const formatter = new Intl.DateTimeFormat('default', { hour: 'numeric' })
-    formattedDate = dateNumbers.map((date) => formatter.format(new Date(date)))
-    sortableDate = dateNumbers.map((date) => new Date(date).getHours())
+    formatter = (date) => {
+      const intlFormatter = new Intl.DateTimeFormat('default', { hour: 'numeric', hour12: false })
+      return intlFormatter.format(date)
+    }
+    // can be any day, starting at midnight
+    domain = [new Date('2000-01-01').getTime(), new Date('2000-01-02').getTime()]
   }
 
+  formattedDate = dateNumbers.map((date) => formatter(new Date(date)))
+  if (domain == null) domain = [Math.min(...dateNumbers), Math.max(...dateNumbers)]
+  const sortableDate: Record<string, number> | null = createSortable(domain, format, formatter)
+
   return [formattedDate, sortableDate]
 }
 
+function autoFormatDate (dateNumbers: number[], minValues: number): DateFormat {
+  const minTime = Math.min(...dateNumbers)
+  const maxTime = Math.max(...dateNumbers)
+
+  let autoFormat: DateFormat = 'hour'
+  if (maxTime - minTime > 1000 * 60 * 60 * 24 * minValues) autoFormat = 'day'
+  if (maxTime - minTime > 1000 * 60 * 60 * 24 * 30 * minValues) autoFormat = 'month'
+  if (maxTime - minTime > 1000 * 60 * 60 * 24 * 30 * 3 * minValues) autoFormat = 'quarter'
+  if (maxTime - minTime > 1000 * 60 * 60 * 24 * 365 * minValues) autoFormat = 'year'
+
+  return autoFormat
+}
+
+function createSortable (
+  domain: [number, number],
+  interval: string,
+  formatter: (date: Date) => string
+): Record<string, number> | null {
+  // creates a map of datestrings to sortby numbers. Also includes intervalls, so that
+  // addZeroes can be used.
+  const sortable: Record<string, number> = {}
+  const [minTime, maxTime] = domain
+
+  // intervalnumbers don't need to be exact. Just small enough that they never
+  // skip over an interval (e.g., month should be shortest possible month).
+  // Duplicate dates are ignored in set
+  let intervalNumber: number = 0
+  if (interval === 'year') intervalNumber = 1000 * 60 * 60 * 24 * 364
+  if (interval === 'quarter') intervalNumber = 1000 * 60 * 60 * 24 * 28 * 3
+  if (['month', 'month_cycle'].includes(interval)) intervalNumber = 1000 * 60 * 60 * 24 * 28
+  if (['day', 'weekday_cycle'].includes(interval)) intervalNumber = 1000 * 60 * 60 * 24
+  if (['hour', 'hour_cycle'].includes(interval)) intervalNumber = 1000 * 60 * 60
+
+  if (intervalNumber > 0) {
+    for (let i = minTime; i <= maxTime; i += intervalNumber) {
+      const date = new Date(i)
+      const datestring = formatter(date)
+      if (sortable[datestring] !== undefined) continue
+      sortable[datestring] = i
+    }
+  }
+
+  return sortable
+}
+
 export function tokenize (text: string): string[] {
   const tokens = text.split(' ')
   return tokens.filter((token) => /\p{L}/giu.test(token)) // only tokens with word characters
diff --git a/src/index.tsx b/src/index.tsx
index acf5e1b..168249e 100644
--- a/src/index.tsx
+++ b/src/index.tsx
@@ -19,7 +19,7 @@ const run = (system: Storage): void => {
   assembly.processingEngine.start()
 }
 
-if (process.env.REACT_APP_BUILD!=='standalone' && process.env.NODE_ENV === 'production') {
+if (process.env.REACT_APP_BUILD !== 'standalone' && process.env.NODE_ENV === 'production') {
   // Setup embedded mode (requires to be embedded in iFrame)
   console.log('Initializing storage system')
   LiveStorage.create(window, run)