[data visualization] Apache superset 1.2.0 tutorial (II) - Quick Start (visualizing King hero data)

In the last article, we have successfully installed superset, So how to visualize our data ？ This article will visualize the data of the king hero , A quick introduction Superset.

One 、 Connect to data source

First, make sure mysql It can be connected and used normally , And get the data ready .

Log in superset, choice Databases

Click on the top right + Number , New database

superset It's through SQLAlchemy Connected to the database . Find... Through official documents mysql Mode of connection .

https://docs.sqlalchemy.org/

MySQL

The MySQL dialect uses mysql-python as the default DBAPI. There are many MySQL DBAPIs available, including MySQL-connector-python and OurSQL:

# default
engine = create_engine('mysql://scott:[email protected]/foo')

# mysqlclient (a maintained fork of MySQL-Python)
engine = create_engine('mysql+mysqldb://scott:[email protected]/foo')

# PyMySQL
engine = create_engine('mysql+pymysql://scott:[email protected]/foo')

Here we're going to install pymysql

Then set the connection in this format

mysql+pymysql://root:[email protected]/honor

Successful connection ！

Two 、 To configure SQL Lab function

After configuring the database , We also want to query it flexibly , It's time to use SQL Lab The function of .

First , Turn on sql lab jurisdiction

choice ADVANCED page , take SQL Lab Check the relevant permissions .

After saving, you can see that the relevant permissions are turned on .

choice Sql Lab Under menu Sql Editor

choice Database,Schema,Table. Input sql sentence ,RUN To perform , You can see the query results .

3、 ... and 、 Simple visualization

Data source configuration complete , And can be normal query , Now let's do a simple visualization of the data .

First choose EXPLORE, Save the query as dataset.

Enter into dataset Setup page , You can see here that the default type is Table, We know superset Support a lot of visual charts , This chapter is just for you Table Type of , We will continue to explain the specific operation of each chart in the future .

choice SAVE, Save as Charts. In this way, the query we just made is saved in the form of graph .

Create a new one Dashboard, Choose... On the right CHARTS, Select the chart we created and drag it over . You can adjust the size and layout . preservation .

Saved successfully , New Dashboard It's in the list . In the future, we choose to embed it in our web pages , Or send it by email .

such , We use Superset The first chart is ready .

This article explains in detail Apache Superset 1.2.0 Visualizing the whole process of data , Next, let's do superset The operation and practice of various charts .

Record on pit

One 、 Connect mysql Failure

ERROR: Could not load database driver: MySQLEngineSpec

MySQLdb I won't support it Python 3, Need to use pymysql.

install pymysql:

Use the following notation

mysql+pymysql://user:[email protected]/databasename

Two 、 install pymysql Failure

Please check the network , Under normal network speed, there is no problem