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Gaining insights fron 16 years of construction data, using python, SQL, and Tableau

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Construction Rentals

Gaining insights fron 16 years of construction data, using python, SQL, and Tableau.

Links to Tableau vizzes:

Construction Rentals - all products

Construction Rentals - aerator analysis

The data

This dataset from Kaggle contains rental data from various contruction rental vendors in Denmark between 2004 and 2020.

How It's Made:

Tech used: Python, SQL, Tableau

I used python for data exploration and cleaning, looking at safety stock, and focusing on inventory stress for one machine type: aerators. Then I used SQL to look at machine popularity and perform additional analysis on aerator rentals.

Visualizations

Using Tableau, I first created this dashboard, which visualizes orders per year, average rental duration per product class, and order volume by month.

Dashboard 1

Then, I decided to go deeper on one product class: aerators. this dashboard visualizes inventory stress and rental duration.

Aerator dashboard

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Gaining insights fron 16 years of construction data, using python, SQL, and Tableau

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