Swap-Nova / Container-Usage-Data

Containers usage targeted & actuals dataset. Embedded four files include monthly actuals, monthly targeted, price and bottle & crates datasets. The task is to clean the dataset and create a consolidated view of Actuals Data and moreover show the Variance analysis as wells as Trend analysis.

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Problem Statement:

  • The data is the containers usage targeted & actuals dataset. Embedded four files include monthly actuals, monthly targeted, price and bottle & crates datasets.

What's inside?

  1. Actuals: This dataset contains actual quantities & amount information. The information includes Material number, Plant, Period, Year and Actuals.
  2. Target: This dataset contains target quantities & amount information with Material number, Plant, Period, Year.
  3. Price: This dataset contains Price details of each material.
  4. B&CR: This dataset contains Material, Bottle & Crate details.

Metrics and Calculations

  • The theme is that being a business manager we have to find the necessary metrics given and moreover analyze the given data parameters.

About

Containers usage targeted & actuals dataset. Embedded four files include monthly actuals, monthly targeted, price and bottle & crates datasets. The task is to clean the dataset and create a consolidated view of Actuals Data and moreover show the Variance analysis as wells as Trend analysis.


Languages

Language:Jupyter Notebook 100.0%