Use Dash to Build to Web Apps on Tableau CRM Analytics Data

The rich ecosystem of Python modules lets you get to work quickly and integrate your systems more effectively. With the CData Python Connector for Tableau CRM Analytics, the pandas module, and the Dash framework, you can build Tableau CRM Analytics-connected web applications for Tableau CRM Analytics data. This article shows how to connect to Tableau CRM Analytics with the CData Connector and use pandas and Dash to build a simple web app for visualizing Tableau CRM Analytics data.

With built-in, optimized data processing, the CData Python Connector offers unmatched performance for interacting with live Tableau CRM Analytics data in Python. When you issue complex SQL queries from Tableau CRM Analytics, the driver pushes supported SQL operations, like filters and aggregations, directly to Tableau CRM Analytics and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).

Connecting to Tableau CRM Analytics Data

Connecting to Tableau CRM Analytics data looks just like connecting to any relational data source. Create a connection string using the required connection properties. For this article, you will pass the connection string as a parameter to the create_engine function.

Tableau CRM Analytics uses the OAuth 2 authentication standard. You will need to obtain the OAuthClientId and OAuthClientSecret by registering an app with Tableau CRM Analytics.

See the Getting Started section of the Help documentation for an authentication guide.

After installing the CData Tableau CRM Analytics Connector, follow the procedure below to install the other required modules and start accessing Tableau CRM Analytics through Python objects.

Install Required Modules

Use the pip utility to install the required modules and frameworks:

pip install pandas
pip install dash
pip install dash-daq

Visualize Tableau CRM Analytics Data in Python

Once the required modules and frameworks are installed, we are ready to build our web app. Code snippets follow, but the full source code is available at the end of the article.

First, be sure to import the modules (including the CData Connector) with the following:

import os
import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import cdata.tableaucrm as mod
import plotly.graph_objs as go

You can now connect with a connection string. Use the connect function for the CData Tableau CRM Analytics Connector to create a connection for working with Tableau CRM Analytics data.

cnxn = mod.connect("OAuthClientId=MyConsumerKey;OAuthClientSecret=MyConsumerSecret;CallbackURL=http://localhost:portNumber;InitiateOAuth=GETANDREFRESH;OAuthSettingsLocation=/PATH/TO/OAuthSettings.txt")")

Execute SQL to Tableau CRM Analytics

Use the read_sql function from pandas to execute any SQL statement and store the result set in a DataFrame.

df = pd.read_sql("SELECT Name, CloseDate FROM Dataset_Opportunity WHERE StageName = 'Closed Won'", cnxn)

Configure the Web App

With the query results stored in a DataFrame, we can begin configuring the web app, assigning a name, stylesheet, and title.

app_name = 'dash-tableaucrmedataplot'

external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']

app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
app.title = 'CData + Dash'

Configure the Layout

The next step is to create a bar graph based on our Tableau CRM Analytics data and configure the app layout.

trace = go.Bar(x=df.Name, y=df.CloseDate, name='Name')

app.layout = html.Div(children=[html.H1("CData Extension + Dash", style={'textAlign': 'center'}),
	dcc.Graph(
		id='example-graph',
		figure={
			'data': [trace],
			'layout':
			go.Layout(title='Tableau CRM Analytics Dataset_Opportunity Data', barmode='stack')
		})
], className="container")

Set the App to Run

With the connection, app, and layout configured, we are ready to run the app. The last lines of Python code follow.

if __name__ == '__main__':
    app.run_server(debug=True)

Now, use Python to run the web app and a browser to view the Tableau CRM Analytics data.

python tableaucrm-dash.py

Free Trial & More Information

Download a free, 30-day trial of the CData Python Connector for Tableau CRM Analytics to start building Python apps with connectivity to Tableau CRM Analytics data. Reach out to our Support Team if you have any questions.

Full Source Code

import os
import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import cdata.tableaucrm as mod
import plotly.graph_objs as go

cnxn = mod.connect("OAuthClientId=MyConsumerKey;OAuthClientSecret=MyConsumerSecret;CallbackURL=http://localhost:portNumber;InitiateOAuth=GETANDREFRESH;OAuthSettingsLocation=/PATH/TO/OAuthSettings.txt")

df = pd.read_sql("SELECT Name, CloseDate FROM Dataset_Opportunity WHERE StageName = 'Closed Won'", cnxn)
app_name = 'dash-tableaucrmdataplot'

external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']

app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
app.title = 'CData + Dash'
trace = go.Bar(x=df.Name, y=df.CloseDate, name='Name')

app.layout = html.Div(children=[html.H1("CData Extension + Dash", style={'textAlign': 'center'}),
	dcc.Graph(
		id='example-graph',
		figure={
			'data': [trace],
			'layout':
			go.Layout(title='Tableau CRM Analytics Dataset_Opportunity Data', barmode='stack')
		})
], className="container")

if __name__ == '__main__':
    app.run_server(debug=True)