getredash/redash

Outliers hovertext data label is not accurate

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#5,639 建立於 2021年11月1日

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 (4 留言) (2 反應) (0 負責人)Python (24,845 star) (4,236 fork)batch import
Visualizationshelp wanted

描述

Issue Summary

For Chart Type Box, the Data Labels {{ column_name }} entry does not work as expected.

Steps to Reproduce

  1. Load a dataset with outliers and a Name column. In my example the dataset are the outputs of a couple functions with inputs 0 through 9, and the names are randomly generated.
  2. Visualize using Visualization Type Chart, Chart Type Box, enter the numeric column under Y Columns, and under the Data Labels field put {{ Name }} as instructed in the question mark hovertext.

The name which shows up on the hovertext for any outlier appears to always come from the last row associated to the boxplot data. In this case, the last row is labeled with the name Erik, so although that is not an outlier for either boxplot, every outlier is labeled Erik.

Screen Shot 2021-11-01 at 15 31 20

Technical details:

  • Redash Version: Version: 8.0.0+b32245 (a16f551e)
  • Browser/OS: google chrome Version 95.0.4638.54 (Official Build) (x86_64)
  • How did you install Redash: V8 self hosted from Redash official cloud images

貢獻者指南

技術棧
pythonjavascript
領域
frontendbackend
議題類型
bug
難度面向新貢獻者的預計實作難度，1 表示很小改動，5 表示專家級工作。
3
預計時間有經驗貢獻者完成調查、實作、測試並準備 pull request 的粗略時間範圍。
1-3 hours
活動狀態議題目前的可參與程度：新鮮、活躍、陳舊、阻塞或等待維護者輸入。
fresh
清晰度議題是否清楚說明預期改動、驗收標準和下一步。
mostly clear
前置要求
Basic understanding of Redash visualizationJavaScript
新手友善度1-100 的估計分數，表示該議題對首次貢獻者的友善程度。
50
研究方向
The issue is with the box plot chart type where data labels for outliers incorrectly show the last row's name. Investigate the frontend code in the chart visualization module, likely in the file that handles plotting with plotly. Check how hover text is generated for outliers and ensure that the correct row data is mapped to each outlier point. Look for any aggregation logic that might be using the last value instead of per point data. The code for box plot may be in `client/app/visualizations/chart/plotly/` or similar. Verify the data transformation step where outlier points are extracted.