outline.md
In ShenJianWHy/Exploratory-Data-Analysis: Aeda for discovery

eaR

propTable: output a real table (or html table) to make the output more elegant(may use knitr for this purpose)

[ ] Add unit(week, month , year) option in monitoring part
[ ] package test: first build package; then write test which would be a huge benefit in app development
[ ] recommend: not use pivot table package(very slow), implement basic pivot table your self.
[ ] integrate all operation with data(from deep dive, monitoring) to only one variable named like "finDat" for efficient memory usage aim, which would be used in whole APP. Bug: in data integration server part, finData() is not defined Note: modify code in dfsummary part to show any changes in "finDat"
[ ]
[ ] original data policynumber matching issues.
[ ] code optimization(encapsulated in module)
[ ] Add Pivot chart for pivot part
[ ] Full functionality for bin width set (beatiful UI, create new field to save new bin width):
by DT package, adding one bin, editing bin width directly in table ~ 1 day
or adding a line which includes customized number of movable ticks, by leveraging plotly pkg if possible. ~ 2 days
or D3.js ~ unkown days

Ref https://plotly.com/r/sliders/

[ ] TS: choices : by week/month/year | sum/average | Rolling n periods (months/weeks)
[ ] add leakage ap vs tp -->
[ ] two way anova analysis one way analysis
[ ] if one var is selected, then in another selectinput, it wont show for bivarate analysis

Automatically generating data analysis report with only few sets, which includes all meaningful insights. With these insights in mind, user could even further explore data.
Provide an user-friendly, powerful and interactive interface for data integration and visualization.
With ML techniques, predict and analyse the result to support business decision.
May provide a smooth project management system
Neonet:
find segments that are profitable
selling products but at the correct price points
Traditional BI monitoring functionality