Use Dash to Build to Web Apps on Google Campaign Manager 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 DoubleClick, the pandas module, and the Dash framework, you can build Google Campaign Manager-connected web applications for Google Campaign Manager data. This article shows how to connect to Google Campaign Manager with the CData Connector and use pandas and Dash to build a simple web app for visualizing Google Campaign Manager data.

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

Connecting to Google Campaign Manager Data

Connecting to Google Campaign Manager 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.

Google Campaign Manager uses the OAuth authentication standard. The data provider facilitates OAuth in various ways as described below. The following OAuth flow requires the authenticating user to interact with DoubleClick Campaign Manager, using the browser. You can also use a service account to authenticate.

For authentication guides, see the Getting Started section of the data provider help documentation.

After installing the CData Google Campaign Manager Connector, follow the procedure below to install the other required modules and start accessing Google Campaign Manager 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 Google Campaign Manager 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.googlecm as mod
import plotly.graph_objs as go

You can now connect with a connection string. Use the connect function for the CData Google Campaign Manager Connector to create a connection for working with Google Campaign Manager data.

cnxn = mod.connect("UserProfileID=MyUserProfileID;InitiateOAuth=GETANDREFRESH;OAuthSettingsLocation=/PATH/TO/OAuthSettings.txt")")

Execute SQL to Google Campaign Manager

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 Clicks, Device FROM CampaignPerformance WHERE Device = 'Mobile devices with full browsers'", 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-googlecmedataplot'

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 Google Campaign Manager data and configure the app layout.

trace = go.Bar(x=df.Clicks, y=df.Device, name='Clicks')

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='Google Campaign Manager CampaignPerformance 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 Google Campaign Manager data.

python googlecm-dash.py

Free Trial & More Information

Download a free, 30-day trial of the CData Python Connector for DoubleClick to start building Python apps with connectivity to Google Campaign Manager 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.googlecm as mod
import plotly.graph_objs as go

cnxn = mod.connect("UserProfileID=MyUserProfileID;InitiateOAuth=GETANDREFRESH;OAuthSettingsLocation=/PATH/TO/OAuthSettings.txt")

df = pd.read_sql("SELECT Clicks, Device FROM CampaignPerformance WHERE Device = 'Mobile devices with full browsers'", cnxn)
app_name = 'dash-googlecmdataplot'

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.Clicks, y=df.Device, name='Clicks')

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='Google Campaign Manager CampaignPerformance Data', barmode='stack')
		})
], className="container")

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