Description

You are tasked with exploring loT data related to a specific measurement over time$/$date$,$

such as humidity, rainfall, wind, or any values recorded by sensors$,$ similar to the loT

temperature data used in our class analytics example. Your objective is to utilize the

principles of data analytics to gain insights from your loT dataset.

Tasks

i$)$ Data Collection

Browse for loT data that captures the desired measurement. Ensure that the dataset

is suitable for analysis and contains relevant information.

ii$)$ Data Analysis

Utilize either the class analytics Python code provided or any other data analytics

tools of your choice to perform various analysis on the loT dataset. This may include

descriptive statistics, data visualizations, forecasting, and any other relevant

analysis.

iii$)$ Observations

Make several observations based on the analytics results. Identify patterns, trends,

anomalies, or any other noteworthy findings present in the data analytics results.

iv$)$ Insight Extraction

Extract insights or wisdom from the observations made during the analysis. Consider

the implications of the findings for the organization or application domain of the IoT

data.

Submission Guidelines

i$)$ Prepare a report documenting your findings and analysis process above.

ii$)$ Include visualizations, tables, screenshots, and any other relevant outputs to support

your observations and insights.

iii$)$ Submit your report with the dataset used and link to the data source. Submit with any

code, scripts, or screenshot of the tool used for your analysis.

can you do in in python please and thank you.