Update README

README.en.md

@@ -13,32 +13,16 @@ to publish the latest data in CSV format,
 which can be easily processed and loaded by most software.
 
 The data is obtained by [COVID-19 Infection Data Realtime Crawler](https://github.com/BlankerL/DXY-COVID-19-Crawler). 
-The data will be published hourly. 
+
+At 0:00 every day, the program will execute on time and the data will be pushed into
+[Release](https://github.com/BlankerL/DXY-COVID-19-Data/releases/latest).
 
 **Due to the limitation of the server's bandwidth, starting from March 19, 2020, 
 `/nCoV/api/overall` and `/nCoV/api/area` do not response time-series data.
 You can fetch time-series data in [json](json) folder.
 If you call the API with `latest=0`, please modify the request parameters, 
 otherwise, you do not need to do any modification.**
 
-#### CSV File List
-1. Overall Data [DXYOverall.csv](csv/DXYOverall.csv)
-2. Regional Data [DXYArea.csv](csv/DXYArea.csv)(Including city names in English)
-3. News [DXYNews.csv](csv/DXYNews.csv)
-4. Rumors [DXYRumors.csv](csv/DXYRumors.csv)
-
-
-Since [`4db432f`](https://github.com/BlankerL/DXY-COVID-19-Data/commit/4db432fda233a701a3a7569e08ab20db083987b1), 
-DXYArea.csv contains province- and city-level data in China, and data of Hong Kong, 
-Macao and Taiwan regions and overseas are also available in this file.
-
-In addition, you can also refer to [this issue](https://github.com/BlankerL/DXY-COVID-19-Crawler/issues/67) to customize your own data set.
-
-#### JSON File List
-Due to the instability of API,
-this project will also push latest static JSONs into the `json` folder. 
-Data from JSON files are exactly the same as the data responded from the API.
-
 Data customization is not accepted. 
 If you have more requirements for data, please handle it on your own.
 

README.md

@@ -6,20 +6,11 @@
 
 近期数位高校师生与我联系，希望用这些数据做科研之用。然而并不熟悉API的使用和JSON数据的处理，因此做了这个数据仓库，直接推送大部分统计软件可以直接打开的csv文件，希望能够减轻各位的负担。
 
-数据由[2019新型冠状病毒疫情实时爬虫](https://github.com/BlankerL/DXY-COVID-19-Crawler)获得，每小时检测一次更新，若有更新则推送至数据仓库中。
+数据由[2019新型冠状病毒疫情实时爬虫](https://github.com/BlankerL/DXY-COVID-19-Crawler)获得。
 
-**受限于服务器带宽压力，自2020年3月19日起，API接口`/nCoV/api/overall`及`/nCoV/api/area`不再返回时间序列数据，时间序列数据可以在[json](json)文件夹下获取。如果您调用接口时使用了`latest=0`参数，则需要修改请求，否则无需修改。**
-
-#### CSV文件列表
-1. 全国数据[DXYOverall.csv](csv/DXYOverall.csv)
-2. 地区数据[DXYArea.csv](csv/DXYArea.csv)（包含英文城市名）
-3. 新闻数据[DXYNews.csv](csv/DXYNews.csv)
-4. 谣言数据[DXYRumors.csv](csv/DXYRumors.csv)
+每天0点，程序将准时执行，数据会被推送至[Release](https://github.com/BlankerL/DXY-COVID-19-Data/releases/latest)中。
 
-自[`4db432f`](https://github.com/BlankerL/DXY-COVID-19-Data/commit/4db432fda233a701a3a7569e08ab20db083987b1)开始，DXYArea.csv包含中国境内省市级、港澳台地区及海外数据。另外，也可以参考[这个问题](https://github.com/BlankerL/DXY-COVID-19-Crawler/issues/67)，来定制自己的数据集。
-
-#### JSON文件列表
-由于API接口时常不稳定，因此此项目也会定时向`json`文件夹中推送静态的JSON文件更新。JSON文件与API中提供的JSON完全一致。
+**受限于服务器带宽压力，自2020年3月19日起，API接口`/nCoV/api/overall`及`/nCoV/api/area`不再返回时间序列数据，时间序列数据可以在[json](json)文件夹下获取。如果您调用接口时使用了`latest=0`参数，则需要修改请求，否则无需修改。**
 
 由于本人精力有限，不接受数据定制。如对数据有更多的要求，烦请自行处理。