Take Satisfaction
This package proposes to offer a rate that represents the customer satisfaction research from the bot.
The proposal converts the Customer Satifaction Survey (CSS) to a normalized rate between 0 to 1. The normalized value alow the comparasion of CSS from differents bot that have differents scales types and ranges.
Installation
Use pip to install:
pip install take-satisfaction
Usage
Using a numeric scale Consumer Satisfaction Survey:
import pandas as pd
import take_satisfaction as ts
pdf = pd.DataFrame({"Action": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
"amount": [0, 1, 2, 0, 0, 10, 0, 35, 200, 360, 3330]})
result = ts.run(dataframe=pdf,
scale_column="Action",
amount_column="amount")
print(result["rate"])
Which will result in 0.9761300152361605.
Using a textual scale Consumer Satisfaction Survey:
import pandas as pd
import take_satisfaction as ts
pdf = pd.DataFrame(
{"Action": ["Péssimo", "Ruim", "OK", "Ótimo", "Excelente"],
"amount": [0, 1, 35, 350, 3330]})
css_column = "Action"
amount = "amount"
result = ts.run(dataframe=pdf,
scale_column=css_column,
amount_column=amount)
print(result["rate"])
Which will result in 0.9715419806243273.
Author
Take Data&Analytics Research - squad XD.
2 maintainers
Release files for take-satisfaction 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| take_satisfaction-1.0.0.tar.gz | 8.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| take_satisfaction-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 22.1 kB
Release files / take_satisfaction-1.0.0.tar.gz
| Download URL | take_satisfaction-1.0.0.tar.gz |
|---|---|
| Size | 8.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / take_satisfaction-1.0.0-py3-none-any.whl
| Download URL | take_satisfaction-1.0.0-py3-none-any.whl |
|---|---|
| Size | 13.9 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/3.3.0 pkginfo/1.6.1 requests/2.25.0 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.54.0 CPython/3.7.7
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