visual-insights test log

# 案例分析

## 数据集 (NASA - Kepler)

Kepler Exoplanet Search Results
10000 exoplanet candidates examined by the Kepler Space Observatory

### Context

The Kepler Space Observatory is a NASA-build satellite that was launched in 2009. The telescope is dedicated to searching for exoplanets in star systems besides our own, with the ultimate goal of possibly finding other habitable planets besides our own. The original mission ended in 2013 due to mechanical failures, but the telescope has nevertheless been functional since 2014 on a “K2” extended mission.
Kepler had verified 1284 new exoplanets as of May 2016. As of October 2017 there are over 3000 confirmed exoplanets total (using all detection methods, including ground-based ones). The telescope is still active and continues to collect new data on its extended mission.

https://www.kaggle.com/nasa/kepler-exoplanet-search-results

## 分析难点

• 数据集专业性较强，需要较强的domain knowledge才能对数据集有一个大致的把握。
• 维度度量过多，难以选择。
• 尝试用tableau分析某些维度度量，发现难以找到有意义的视图，组合情况又比较多，发现问题的成本很高。

## 使用Visual-Insights的推荐结果

### 数据集导入/清洗/字段配置(目的)

（注，这里对数据集使用了dropNull的策略）

## 使用Visual-Insights分析-Notebook

Notebook功能是一个可以互动的算法可视化看板，这里可以对一些参数与算子进行调节来调节最终的推荐结果

## 资源链接

Author: Lobay Kanna