RReporting & eporting & DData ata
VVisualization isualization CContest 2009ontest 2009
Industry Defined Problem
InRev || Aarohan 2k9 || NIT Durgapur
K Kirubakaran
id97767168 pdfMachine by Broadgun Software - a great PDF writer! - a great PDF creator! - http://www.pdfmachine.com http://www.broadgun.com
ObjectivesObjectives
To understand the structure of the
cx.data file
Use any kind of technology to bring it to
presentable form
Assumption of perspectives on the data
provided
Report with some useful insights of the
given data
Consumer Expenditure SurveyConsumer Expenditure Survey
Mapping files-Series file-Datafile
Expenditure-Diary & Interview survey
Seasonally Unadjusted data
Income-Expenditure-Characteristics per
CU classified by 14 groups
Avg Annual Expenditure- 14 categories
Mapping files visMapping files vis--àà--vis series file vis series file
CX_SERIES
SERIES_ID
ITEM_CODE
TABLE_CODE
BEG_YEAR
END_YEAR COLUMN_CODE
DEFINES
CX_ITEM
ITEM_CODE
ITEM_TEXT
CX_COLUMN
CHARAC
TERIZES
COLUMN_CODE
TABLE_CODE
COLUMN_TEXT
CX_TABLE
CONTAINS
TABLE_TEXT
TABLE_CODE
CX_ECX_E--R diagramR diagram
CX_DATAFILE CX_SERIES
COMPRISES
SERIES_ID
VALUE
SERIES_ID
YEAR
ID
TABLE_CODE
BEG_YEAR
END_YEAR
ITEM_CODE
COLUMN_CODE
TechnologyTechnology
MS Excel (Pivot tables, charts, statistical
analysis)
Oracle 10g Express Edition (Database
handling)
Oracle Application Builder (Prototype
design)
MS Word (Report)
MS Powerpoint (Presentation)
AlgorithmAlgorithm
1. Data imported for refinement in Excel
Spreadsheet formats
2. Database created by drawing useful
relationships among the given tables using
Oracle Express 10g Edition technology
3. Additional tables created & data structure
understood (for user sorted results) using
SQL queries
Algorithm Algorithm contdcontd��
4. Initial Data Reporting and Analysis using Excel based tools like pivot table and the application developed with Oracle Application Builder
5. Data Visualization using charts and required statistical functions & tools
6. Analytics generation based on perspectives and assumptions made by the team
DemographicsDemographics
0
10000
20000
30000
40000
50000
60000
70000
80000
90000
Fourth 20 percent income quintile
Highest 20 percent income quintile
Lowest 20 percent income quintile
Second 20 percent income quintile
Third 20 percent income quintile
1984
1988
1992
1996
2000
2004
2007
Total no. of persons-
(No of CU in 1000s)
*(No of persons in
CU)
Quintiles of income
before taxes
Shylock calling�Shylock calling�
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
10000
1984 1988 1992 1996 2000 2004 2007
Mortgage interest and charges - All Consumer Units
Mortgage interest and charges - Fourth 20 percent income quintile
Mortgage interest and charges - Highest 20 percent income quintile
Mortgage interest and charges - Lowest 20 percent income quintile
Mortgage interest and charges - Second 20 percent income quintile
Mortgage interest and charges - Third 20 percent income quintile
Mortgage interest and charges
Quintiles of income before taxes
Mortgage Mountain piled up Mortgage Mountain piled up
-7000 -6000 -5000 -4000 -3000 -2000 -1000 0
1984
1988
1992
1996
2000
2004
2007
Mortgage principal paid, owned property -Third 20 percent income quintile
Mortgage principal paid, owned property - Second 20 percent income quintile
Mortgage principal paid, owned property - Lowest 20 percent income quintile
Mortgage principal paid, owned property - Highest 20 percent income quintile
Mortgage principal paid, owned property - Fourth 20 percent income quintile
Mortgage principal paid, owned
property
Quintiles of income before taxes
Asset bomb tickingAsset bomb ticking
-5000
0
5000
10000
15000
20000
25000
30000
35000
1984 1988 1992 1996 2000 2004 2007
Fourth 20 percent income quintile
Highest 20 percent income quintile
Lowest 20 percent income quintile
Second 20 percent income quintile
Third 20 percent income quintile
Net Change in Total Assets
Quintiles of income before
taxes
AssetAsset--liability chemistry!liability chemistry!
0
2000
4000
6000
8000
10000
12000
14000
16000
18000
1984 1988 1992 1996 2000 2004 2007
Net change in total assets
Net change in total liabilities
All Consumer Units
Living the silly high lifeLiving the silly high life
0
5000
10000
15000
20000
25000
30000
35000
40000
45000
1991 1994 1997 2000 2004 2007
Highest 20 percent income quintile
Lowest 20 percent income quintile
-25000
-20000
-15000
-10000
-5000
0
5000
10000
1991 1994 1997 2000 2004 2007
Highest 20 percent income quintile
Lowest 20 percent income quintile
Net Change in
total liablities
Net Change in
total assets and
liablities
Caveman�s prideCaveman�s pride
0
1000
2000
3000
4000
5000
6000
7000
8000
1984 1987 1990 1993 1996 1999 2002 2005 2007
Other lodging
Owned dwellings
Rented dwellings
All Consumer
Units
Desperate caveman�s prideDesperate caveman�s pride
0 5 10 15 20 25 30 35 40 45 50
1984
1988
1992
1996
2000
2004
2007
Percent Renter
Percent Homeowner without mortgage
Percent Homeowner with mortgage
All Consumer Units
Housemouse�sHousemouse�s woeswoes
0
5000
10000
15000
20000
25000
Consumer units of two or more
persons, no earners
CUs of two or more persons, one
earner
CUs of two or more persons, three or more
earners
CUs of two or more persons, two
earners
Single Consumers, no earner
Single Consumers, one earner
1984
1988
1992
1996
2000
2004
2007
Housing
Number of earners
Incoming Vs. IndulgingIncoming Vs. Indulging
0
10000
20000
30000
40000
50000
60000
70000
1984 1987 1990 1993 1996 1999 2002 2005 2007
Money income before taxes
Total average annual expenditures
All Consumer Units
Dwelling Vs. IncomingDwelling Vs. Incoming
0
20000
40000
60000
80000
100000
120000
140000
160000
180000
200000
1984 1987 1990 1993 1996 1999 2002 2005 2007
Estimated market value of owned home
Money income before taxes
All Consumer Units
Financial Planning, the need of the Financial Planning, the need of the
hour hour
All Consumer Units
0
500
1000
1500
2000
2500
3000
3500
4000
4500
1984 1987 1990 1993 1996 1999 2002 2005 2007
Est. monthly rental value of owned home
Interest, dividends, rent income, property income
Mortgage interest and charges
Property taxes
InspirationInspiration
http://www.f-cube.us/ ----- Data visualization http://www.bls.gov/ ----- Table creation http://scoop.in-rev.com/ ------ Data reporting http://bigpicture.typepad.com/ --- Analytics http://ttrammohan.blogspot.com �Analytics http://www.ritholtz.com/ ----- Analytics
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