Raw data to reproduce figures from the paper Beyond the Dichotomy: How Ride-hailing Competes with and Complements Public Transport

## Data to reproduce figures from the paper:&gt;Cats, O., Kucharski, R., Danda, S. R., &amp; Yap, M. (2021). Beyond the Dichotomy: How Ride-hailing Competes with and Complements Public Transport. arXiv preprint arXiv:2104.04208.<br>### fig_1_data.csv* each row denotes a single histogram line with 7 percentile values (in columns), each row is named after city and attribute name### fig_2_data.csv* each row denotes a single histogram line with 7 percentile values (in columns), each row is named after city and attribute name### maps.zip* each map has its own csv file named `hexdata_city_attribute_level.csv`.* each row in .csv file denotes single hex and contains: hex_id (https://github.com/uber/h3-py), hex geometry (in WKT format) and attribute value (used as a coloring scale in the maps)### fig. 6* each dot in the file is stored in the `.csv` as the x,y,value in respective lines in rows<br>

本数据集用于复现论文《超越二分法：网约车如何与公共交通既竞争又互补（Beyond the Dichotomy: How Ride-hailing Competes with and Complements Public Transport）》的图表，该论文作者为Cats, O.、Kucharski, R.、Danda, S. R. 与Yap, M.，发表于2021年，为arXiv预印本arXiv:2104.04208。
### fig_1_data.csv：每一行对应一条直方图折线，包含7个百分位数值（存储于各列），每行以城市名与属性名命名。
### fig_2_data.csv：每一行对应一条直方图折线，包含7个百分位数值（存储于各列），每行以城市名与属性名命名。
### maps.zip：
1. 每个地图对应一个名为`hexdata_city_attribute_level.csv`的CSV文件。
2. 该CSV文件内的每一行对应一个六边形网格，包含：六边形ID（可参考uber/h3-py库）、六边形几何信息（采用WKT（Well-Known Text）格式）以及属性值，该属性值用于地图的着色分级。
### 图6相关数据：该CSV文件中的每个点以行的形式存储x坐标、y坐标与属性值，每行依次对应上述三个字段。