Python code Snippets, Data Loading & Hotel TULIP Web Log Dataset Report Writing - IT Assignment Help

Assignment Task

Task Description 
This task requires you to construct a data dictionary and develop a data exploration report for the provided Hotel TULIP Web log dataset. 
Without exploration or further analysis, ‘raw’ Web log data hardly reveals any insightful information. In this part, you are required to complete the Python code snippets to generate suitable numeric and visual description in the Hotel TULIP Web log dataset based on the detailed requirements in SIT742Task1.ipynb, and develop the report SIT742Task1Report.pdf to summarise the descriptive statistics information. The detailed requirements can also be found in the notebook SIT742Task1.ipynb, here we summarise them as follows: 
1 ETL 
1.1 Data Loading 
Complete the Python code snippets in SIT742Task1.ipynb as required in notebook, and complete the data dictionary and report. 
Code Load (may need unzip first) the Hotel TULIP Web log data HTWebLog_p1.zip into dataframe df_ht, and check how many files are loaded. Then check data statistics and general information by printing its top 5 rows. 
Data Dictionary Fill the data dictionary based on the Python code results. For a data scientist or business analyst, after obtaining the dataset, the first crucial task is to obtain a good understanding of the data to be analysed. This includes: examining the data attributes (or equivalently, data fields), seeing what they look like, what is the data type for each field, and from this information, determining suitable numerical/visual descriptions. 
 

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