Marketing ROI package
Project description
ROI - Return on Investment is an all inclusive package for maketing analytics. The first release focuses on cohort analysis. The plan is to slowly include more analysis, as the package grows.
Installation:
You can install ROI using
pip install roi
Usage:
Example: Cohort Analysis
import pandas as pd
import matplotlib.pyplot as plt
from roi import cohort analysis
# Read dataset
data= pd.read_csv('/content/data.csv',encoding='latin',parse_dates=['OrderDate'])
#Pass the dataframe to an instance of cohort analysis class and also pass name of the column with UserId and ActivityDate.
analysis = cohort_analysis(input_df=data, ActivityDate='OrderDate', CustomerID='UserId')
## Generate retention heatmap
analysis.plot_retention()
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
roi-0.1.2.tar.gz
(2.6 kB
view details)
File details
Details for the file roi-0.1.2.tar.gz
.
File metadata
- Download URL: roi-0.1.2.tar.gz
- Upload date:
- Size: 2.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.4.2 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c07a46a7f871dbfbb2bdef69009e079485508fcefbbba1ca7e3adc7424d6cc09 |
|
MD5 | 8eb85b50b8afc02a2eff3f4e8daf75b1 |
|
BLAKE2b-256 | 9d8d9d3915407bbb650af14eff2e27d36574a63bc4e39fe0c15b40b6e044ea3e |