I have a mixed set of sensor outputs—some arrive already in neat tables while others come through as raw text logs and JSON strings. I want a clear descriptive analysis that tells me what is happening in the data right now, without venturing into forecasting or optimization. Here is what I need: • Cleaning and merging of both the structured readings and the unstructured log files. • Exploratory statistics that highlight central tendencies, variability, correlations and any obvious anomalies. • Visualisations (plots, heat-maps, dashboards) that make the findings easy to grasp for a non-technical audience. • A concise written summary calling out key insights and any immediate operational recommendations that naturally follow from the numbers. You are free to choose the toolkit—Python with Pandas, R with tidyverse, or a comparable stack—so long as you can share the code notebook and ensure it runs end-to-end on my data.