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Data Analytics - Final

check for distribution, to decide whether we use median or mean to replace missing data
Histogram
Color Palette Designer
Rule Engine
Silhouette Coefficient
This compares country, however there is a unkown makes a signficant amount towards the resutl
Crosstab
GroupBy
Scatter Plot
Independent groups t-test
This compares whether giving a free copy of masting the inverview = customers are more likely to convert
Crosstab
check for distribution, to decide whether we use median or mean to replace missing data
Histogram
Normalizer
Statistics
Numeric Outliers
This shows the average mean of people being converted coming from different lead sources
GroupBy
Box Plot
Shows the percentage of people converted that did the survey
Value Counter
Grouping the average of total time spent on website, total visits, activity score, profile score, page views per visit
GroupBy
Normalizer
One to Many
Box Plot
CSV Reader
to verify that an observation either missed all 4 four variables (activity and profile index/score) or not
Value Counter
k-Means
This compares lead sources to whether it matters when it comes to people being converted
Crosstab
Silhouette Coefficient
Testing the first Hypothesis of whether time spent on website = higher conversion rate + the others
Independent groups t-test
Rule Engine
Normalizer
k-Means
String Cleaner
Missing Value
GroupBy
Expression
Crosstab
Color Designer (Apply)

Nodes

Extensions

Links

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: vinhnguyen
Created at: 2026-09-03
On NodePit since: 2026-09-14
Last update: 2026-09-15
Created with KNIME version: v5.12.0

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