Clean & Analyze Sales Data
Publicada el 2026-08-02
Descripción de la oferta
Our raw sales dataset needs a full analytical pass that starts with rigorous data cleansing. The main focus is on standardising every field—dates, currencies, product codes, customer IDs—so the data can be trusted for downstream reporting. Once the formats are consistent, I want a concise exploratory analysis in Python (Pandas, NumPy, Matplotlib or Seaborn) that highlights high-level trends, seasonality, and any obvious outliers. If you spot missing values or duplicate rows along the way, feel free to resolve them; the primary acceptance criterion, however, is clean, consistently formatted data backed by a short insight summary. Deliverables • Python notebook or script that performs the cleaning and analysis • A cleaned CSV (or Parquet) file ready for further modelling • A brief report (PDF or Markdown) outlining the main findings and confirming that all formats have been standardised Timeliness and accuracy are essential; I’m committed to a smooth review cycle so we can wrap this up on schedule.
Skills
Fuente original: freelancer