Decision Tree
Data Analysis Overview
This page consists of a variety of conditions and values regarding product pricing, age demographics, and market location, particularly focusing on a specific shelve location categorized as "Bad" and medium-priced products.
Conditional Filters
Shelve Location Conditions
ShelveLoc = Bad
Medium Price >= 97
Price Conditions
Price >= 144
Age >= 64
Age >= 48
Price >= 136
CompPrice < 142
CompPrice < 139
Advertising < 13
CompPrice < 116
Price >= 130
Income < 57
Price >= 110
US = No
Age >= 62
Statistical Summary
Product ratings and sample sizes:
7.4 with n=320 (100%)
6.8 with n=254 (79%)
6.2 with n=204 (64%)
4.9 with n=57 (18%)
2.9 with n=10 (3%)
5.3 with n=47 (15%)
3.8 with n=14 (4%)
5.9 with n=33 (10%)
6.8 with n=147 (46%)
6.1 with n=88 (28%)
4.9 with n=20 (6%)
4 with n=12 (4%)
6.3 with n=8 (2%)
6.5 with n=68 (21%)
6.2 with n=61 (19%)
8.6 with n=7 (2%)
7.7 with n=59 (18%)
7.2 with n=45 (14%)
5.5 with n=9 (3%)
7.6 with n=36 (11%)
6.4 with n=14 (4%)
8.4 with n=22 (7%)
9.3 with n=14 (4%)
9 with n=50 (16%)
7 with n=12 (4%)
9.7 with n=38 (12%)
10 with n=66 (21%)
9.1 with n=48 (15%)
7.3 with n=14 (4%)
9.9 with n=34 (11%)
8.3 with n=8 (2%)
10 with n=26 (8%)
12 with n=18 (6%)
Products Response
Product responses show a distribution of ratings given various conditions. The statistics reflect both positives and negatives with notable percentages across varying sample sizes.
Conclusion
Through careful analysis of the presented data, stakeholders can identify key areas for marketing, adjustments in pricing strategies, and understand demographic factors affecting purchases. The data is instrumental for making informed decisions within product management and sales optimization.