Step-by-step approach taken to clean, organize, and transform raw data into a usable format to analyze sustainability practices in the logistics sector. It covers data importing, restructuring headers, addressing inconsistencies, and resolving null values to ensure the dataset's accuracy and reliability. The focus is on isolating indicators related to sustainability and safety, such as R&D investments, recycling metrics, and resource efficiency, to draw actionable insights. By refining the data, this process lays the groundwork for a deeper exploration of sustainable practices in the industry.
Read it here: https://www.projectguru.in/sustainability-and-safety-practices-indian-logistics-sector-through-data-analysis/
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Processing Data in Power BI to Highlight Sustainability Practices | NatokHD