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4.11 The first page of dashboard wireframe. 77
4.12 The second page of dashboard wireframe. 77

4.13 The third page of the dashboard wireframe. 78
4.14 The fourth page of the dashboard wireframe. 79

4.15 Screenshot of OurWorldinData.org portal 80

4.16 Screenshot of order details from DOSM portal. 81
4.17 Screenshot of the Stroke Prediction Dataset in Kaggle. 82

4.18 The stroke death rate dataset before data cleaning. 87
4.19 The stroke death rate dataset after data cleaning. 87

4.20 The death rate dataset before data cleaning. 88

4.21 The death rate dataset after data cleaning. 88
4.22 The hypertension prevalence dataset before data cleaning. 89

4.23 The hypertension prevalence dataset after data cleaning. 89
4.24 The population dataset before data cleaning 90

4.25 The population dataset after data cleaning. 90

4.26 The snippet code of the data cleaning. 91
4.27 The data of the merged dataset. 91

4.28 Pre-Cleaned Malaysia Stroke Mortality Dataset Structure. 92
4.29 Stroke Mortality Malaysia dataset after cleaning process. 93

4.30 Data Import Interface in MongoDB Compass. 94
4.31 Query for data filtering by country. 95

4.32 Query for data filtering of total death that exceeds 500000. 96

4.33 Query for average stroke death rate per year across all countries 96
4.34 Top 3 Hypertension-Prevalent Countries in 2010’s query. 97

4.35 Export dialog in MongoDB. 98
4.36 Screenshot of Overview page. 99

4.37 Screenshot of Malaysia Stroke Statistic page. 100
4.38 Stroke Cases in Malaysia’s State page. 100

4.39 Screenshot of Smoking to Stroke page. 101

4.40 Screenshot of Hypertension as a Stroke Factor page. 102
4.41 The data cleaning python code. 103

4.42 The first five rows before cleaning. 104

4.43 The first five rows after cleaning. 104

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