Search and download datasets from the internet by topic Retail ( for example: kaggle

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Question:

Search and download datasets from the internet by topic $“$ Retail $" ($ for example: kaggle datasets and so on $) .$ Then determine what problems can be raised based on the dataset.

$2 .$ Carry out the Big Data Life Cycle process by answering and explaining questions $-$ following questions:

a $.$ Big Data Generation: Where did the data source in the dataset come from? $($ include the link $) ?$

b $.$ Data Aggregation & Data Preprocessing, which includes:

$•$ Data Integration: What data is combined?

$•$ Data Cleaning: How do you carry out the data cleaning process $-$ inappropriate data such as errors, inconsistencies, redundancies, and so on?

$•$ Data Reduction: Does your dataset need a data volume reduction process?

$•$ Data Transformation: Does your dataset need to be processed to change the data format into a suitable form for further analysis?

c $.$ Big Data Analytics: Select one of the analysis techniques used below, then select from that technique $($ can be one or more $)$ jenis $/$ type used:

$•$ Quantitative analysis $($ Nominal data $/$ ordinal data $/$ interval data $/$ ratio data $)$

$•$ Qualitative analysis $($ Content analysis $/$ narrative analysis $/$ discourse analysis $/$ framework analysis $/$ grounded theory $)$

$•$ Statistical analysis $($ A $-$ B testing $/$ correlation $/$ regression $)$

d $.$ Visualizing Big Data: Choose a visualization technique and then visualize the dataset after cycle as $.$ d $.$ c is done.

e $.$ Give a conclusion in the form of insight gained from discussing the topic and $/$ or data so that the problems raised at the beginning are answered in conclusion.