# DLT & Deepnote in women's wellness and violence trends: A Visual Analysis

DevFeed: [DLT & Deepnote in women's wellness and violence trends: A Visual Analysis](<https://devfeed.tech/articles/dlt-deepnote-in-women-s-wellness-and-violence-trends-a-visual-analysis-80282.md>)

Original publisher: [Read original article](<https://dlthub.com/blog/deepnote-women-wellness-violence-tends>)

Author: Hiba Jamal

Published: 2023-10-25T00:00:00Z

Content type: tutorial

Language: en

Sources: [DLT Hub](<https://devfeed.tech/sources/dlt-hub.md>)

Topics: [Data pipelines](<https://devfeed.tech/topics/data-pipelines.md>), [dashboards](<https://devfeed.tech/topics/dashboards.md>), [Data visualization](<https://devfeed.tech/topics/data-visualization.md>), [clustering](<https://devfeed.tech/topics/clustering.md>), [Python](<https://devfeed.tech/topics/python.md>), [AI Integration Strategies](<https://devfeed.tech/topics/ai-integration-strategies.md>)

Tags: [ai-code-generation](<https://devfeed.tech/tags/ai-code-generation.md>), [analytics](<https://devfeed.tech/tags/analytics.md>), [dashboard](<https://devfeed.tech/tags/dashboard.md>), [data](<https://devfeed.tech/tags/data.md>), [data-pipelines](<https://devfeed.tech/tags/data-pipelines.md>), [data-science](<https://devfeed.tech/tags/data-science.md>), [data-scientist](<https://devfeed.tech/tags/data-scientist.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [tutorials](<https://devfeed.tech/tags/tutorials.md>)

## AI overview

The article demonstrates a data science workflow using dlt to load, model, unnest, and format nested JSON datasets, then Deepnote to explore and visualize them. It also clusters countries by women's wellness indicators using K-means and discusses the resulting patterns.

## Source excerpt

## ⌛The Problem; The bulk of time spent in a data science project is on the transformation of data itself. If you are a data analyst, data scientist or a machine learning engineer, then more likely than not, you spend more time fixing data pipelines or data formats then you do on ML algorithms or dashboard designs. We aren't always lucky enough to get structured data to work with.