[datameet] Re: Data on Tax

[Rohith Jyothish]

Hello

First of all, I would distinguish between 'tax avoidance' and 'tax 
evasion'. When we talk tax havens like Mauritius, Cyprus and Singapore, 
investment in real estate routed through anonymous financial instruments 
like Participatory Notes, they are all technically legal, but are part of 
the process of 'tax planning' aided by the big five accounting firms. We 
can't definitely say that it is 'cheating'. They follow the letter of the 
law, but not the spirit. As the mint article (shared by Pramit) mentions, 
the data specific to India that we can get is that of aggregate Foreign 
Direct Investment or Foreign Institutional Investment routed through these 
tax jurisdictions which is published by the Department of Industrial Policy 
and Promotion. 

All India Income Tax Statistics is a dataset that was supposed to contain 
income tax data according to tax brackets and also number of people in each 
bracket. It was not published between 2000 and 2016. But after Thomas 
Piketty's book 'Capital in the 21st Century' made waves, he had raised the 
issue of India's inequality being 'hidden' because of lack of income and 
commodity-wise tax data. This dataset was published in May 2016 after the 
public pressure following the publication of his book. I am not sure if it 
is possible to discern those who evade tax from this data as it only 
contains 'effective assesses' under different PAN categories like 
individual, firm, company, etc.

Nikhil's point about 'tax revenue foregone'. There is a statement published 
every year along with the Union Budget called 'Statement of Revenue Impact 
of Tax Incentives under the Central Tax System' which is where P. Sainath 
gets his data from. In fact, when he quotes the total figure from this 
statement and calls this 'corporate subsidy', it is factually incorrect 
because there are several categories mentioned under tax exemptions, many 
of which benefit small and medium enterprises in hilly terrains, 
conflict-ridden regions, and also drought prone areas, etc which make 
economic sense. It is another matter that some of the clauses are used for 
tax evasion. But as of now, there aren't many analyses that differentiate 
between the effective and ineffective tax exemptions. Ideally, an outcome 
budget should be published the Ministry of Finance according to which 
ineffective tax exemptions should be removed. But as of now, in spite of 
several government reports and also mentions in the Union Budget itself of 
tax exemptions causing leakages, the practice continues.

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[datameet] 2017 Uttar Pradesh Asembly Elections Visual Story

[Manas Sharma]

We at the Info Design Lab at IDC, IIT Bombay explored the data from the 
recently held elections in UP and found some interesting patterns through 
the years in the state. We tried to present our findings in the form of a 
visual story.

Would be great if you could check it out.

View it here: https://info-design-lab.github.io/UP2017/

This is not optimised for mobile due to the layouts of the graphics.

-Manas

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Re: [datameet] Re: query on data re-organizing : 2-dimensional to single flow

[Nikhil VJ]

Hi Pratap,

They don't tolerate non-coders in stackoverflow :P

Thanks for sharing the script! Now can someone put it up online somewhere ;)

This one is presently beyond my scope of programming skills, but IMHO
falls within Datameet's mandate because a very large amount of the
data we want to work with does in fact get stored in different ways
that are friendly for human data entry but not directly
machine-readable. Most notably in a two-dimensional layout similar to
the weekly timetable most of us had in school.

One more lead :
https://shancarter.github.io/mr-data-converter/
I think the "XML-Nodes" output mode IS doing the job; one only has to
alter the output string formatting.




On 3/29/17, Pratap Vardhan  wrote:
> Better suited for Stackoverflow. Here's a way to doing it in python.
>
> import pandas as pd
>
> df = pd.read_excel('Downloads/RF_Pashan.xls', 'Sheet4')
> # Subselect your data, since data irregularly formatted
> dff = df.ix[2:, 2:-5]
> # Rename column names
> dff.columns = ['Year', 'Month'] + range(1, 32)
> dff2 = dff.set_index(['Year', 'Month']).stack()
> # Final required format
> rain = pd.DataFrame({
> 'date': dff2.index.to_series().apply(lambda x: '{2:02.0f}-{1}-{0}'.
> format(*x)).values,
> 'rainfall': dff2.values})
> # Export to csv file
> rain.to_csv('rain.csv', index=False)
>
>
>  date rainfall
> 0  01-01-19990
> 1  02-01-19990
> 2  03-01-19990
> 3  04-01-19990
> 4  05-01-19990
>
>
> Regards,
> Pratap Vardhan
>
> --
> Datameet is a community of Data Science enthusiasts in India. Know more
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>


-- 
--
Cheers,
Nikhil
+91-966-583-1250
Pune, India
Self-designed learner at Swaraj University 
Blog  | Contribute


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[datameet] Re: query on data re-organizing : 2-dimensional to single flow

[Pratap Vardhan]

Better suited for Stackoverflow. Here's a way to doing it in python.

import pandas as pd

df = pd.read_excel('Downloads/RF_Pashan.xls', 'Sheet4')
# Subselect your data, since data irregularly formatted
dff = df.ix[2:, 2:-5]
# Rename column names
dff.columns = ['Year', 'Month'] + range(1, 32)
dff2 = dff.set_index(['Year', 'Month']).stack()
# Final required format
rain = pd.DataFrame({
'date': dff2.index.to_series().apply(lambda x: '{2:02.0f}-{1}-{0}'.
format(*x)).values,
'rainfall': dff2.values})
# Export to csv file
rain.to_csv('rain.csv', index=False)


 date rainfall
0  01-01-19990
1  02-01-19990
2  03-01-19990
3  04-01-19990
4  05-01-19990


Regards,
Pratap Vardhan

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[datameet] Re: [ooni-talk] Examining internet shutdowns through public data sources

[Pratap Vardhan]

You could check out this project http://www.internetshutdowns.in for India.

Regards,
Pratap Vardhan

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Re: [datameet] Fwd: [ooni-talk] Examining internet shutdowns through public data sources

[Nikhil VJ]

Hi Sibi,

Interesting project! Can you try and get state-wise breakdown for India?

While I don't think the internet Kill-Switch has been used on the
whole country yet (pls correct me if wrong), blocking internet in J&K
has been common and since 2014 we have also been seeing tweets coming
from Gujarat about internet being blocked at times like the Patel
agitation.


On 3/29/17, Sibi Kanagaraj  wrote:
> -- Forwarded message --
> From: "Maria Xynou" 
> Date: Mar 28, 2017 10:19 PM
> Subject: [ooni-talk] Examining internet shutdowns through public data
> sources
> To: 
> Cc:
>
> Hi,
>
> Today we (the OONI team) released a post which explains our methodology
> when examining internet blackouts through public data sources.
>
> You can find the post here:
> https://ooni.torproject.org/post/examining-internet-blackouts/
>
> This also includes an ipython network which shows how to automatically
> analyze Google traffic data with the aim of identifying internet blackouts.
>
> We hope you find this useful!
>
> Please contact us with any questions or suggestions you may have (while
> bearing in mind that we're attending RightsCon this week and may be slow
> in replies).
>
> All the best,
>
> ~ The OONI team.
>
> --
> Maria Xynou
> Research and Partnerships Coordinator
> Open Observatory of Network Interference (OONI)
> https://ooni.torproject.org/
> PGP Key Fingerprint: 2DC8 AFB6 CA11 B552 1081 FBDE 2131 B3BE 70CA 417E
>
>
>
> ___
> ooni-talk mailing list
> ooni-t...@lists.torproject.org
> https://lists.torproject.org/cgi-bin/mailman/listinfo/ooni-talk
>
> --
> Datameet is a community of Data Science enthusiasts in India. Know more
> about us by visiting http://datameet.org
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>


-- 
--
Cheers,
Nikhil
+91-966-583-1250
Pune, India
Self-designed learner at Swaraj University 
Blog  | Contribute


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[datameet] Re: query on data re-organizing : 2-dimensional to single flow

[Nikhil VJ]

Hi again,

PFA a diagram that should explain the desired task more clearly.


On 3/29/17, Nikhil VJ  wrote:
> Hi friends,
>
> Data re-organizing query : How can we reformat this data (see attached
> excel) so that a visualizer can read it and render it as a graph with
> dates in x-axis? The data is arranged two-dimensionally (rows by month
> and different column for each day) and we need to convert the data to
> a one-dimensional table (sample shown in second worksheet in the
> attachment). There are quite a lot of such tables out there so it
> would be great to know of a programmatic way of achieving this.
>
>
> -- Forwarded message --
> From: Abhijeet Kamble 
> Date: Wed, 29 Mar 2017 16:00:45 +0530
> Subject: Fwd: GIS GeoOdk Data
> To: Nikhil VJ 
>
> I forget to send you the same
>
> May be useful for someone in your network...
>
>
>
> --
> Abhijeet Kamble
> Project Officer (MGB)
> Centre for Environment Education
> Central Regional Cell
> Pinewood Apartment
> S No 233/1/2, Vidhate Colony, Baner, Pune 411 067
> Landmark : Ahead of Medipoint Hospital
> URL: www.ceeindia.org
> Phone: 020 - 27298861   / 9922151915
> Google maplink http://goo.gl/maps/rthpc
>
>
> ~*Water has very sharp memory, it never forget it's path...*~
>
>
>
> --
> --
> Cheers,
> Nikhil
> +91-966-583-1250
> Pune, India
> Self-designed learner at Swaraj University
> 
> Blog  | Contribute
> 
>


-- 
--
Cheers,
Nikhil
+91-966-583-1250
Pune, India
Self-designed learner at Swaraj University 
Blog  | Contribute


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[datameet] query on data re-organizing : 2-dimensional to single flow

[Nikhil VJ]

Hi friends,

Data re-organizing query : How can we reformat this data (see attached
excel) so that a visualizer can read it and render it as a graph with
dates in x-axis? The data is arranged two-dimensionally (rows by month
and different column for each day) and we need to convert the data to
a one-dimensional table (sample shown in second worksheet in the
attachment). There are quite a lot of such tables out there so it
would be great to know of a programmatic way of achieving this.


-- Forwarded message --
From: Abhijeet Kamble 
Date: Wed, 29 Mar 2017 16:00:45 +0530
Subject: Fwd: GIS GeoOdk Data
To: Nikhil VJ 

I forget to send you the same

May be useful for someone in your network...



-- 
Abhijeet Kamble
Project Officer (MGB)
Centre for Environment Education
Central Regional Cell
Pinewood Apartment
S No 233/1/2, Vidhate Colony, Baner, Pune 411 067
Landmark : Ahead of Medipoint Hospital
URL: www.ceeindia.org
Phone: 020 - 27298861   / 9922151915
Google maplink http://goo.gl/maps/rthpc


~*Water has very sharp memory, it never forget it's path...*~



-- 
--
Cheers,
Nikhil
+91-966-583-1250
Pune, India
Self-designed learner at Swaraj University 
Blog  | Contribute


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RF_Pashan.xls
Description: MS-Excel spreadsheet

[datameet] DataMeet Pune meetup on Sat 1st April 4-6pm

[Nikhil VJ]

Cordially inviting you to
DataMeet Pune Meetup
1st April 2017, 4-6pm
Agenda: Informal catching up after a long time, and talking about
various ways to work on public data and make it more accessible,
useful.
Venue:
Seed Infotech Ltd., 'Panchasheel', 42/16, Erandawana, SEED Infotech
Lane, Off Karve Road, Pune-411004

See http://datameet.org to know more about the DataMeet community. For
Pune or Maharashtra-specific, follow the links at bottom.

Open for people from all backgrounds and disciplines who share a
passion about opening up data that is important for the public.

Possible topics for discussion and collaboration:
Pune new wards mapping; elections related data; MH villages mapping
and census data; bus stops and routes data; open data portal; using
technologies like R; Leaflet and QGIS; data gathering about rainwater
harvesting, tree census and other socially important topics; NGO
projects that can use technical help in data gathering, cleaning and
visualization.

Pls RSVP on p...@datameet.org so we can give the premises the
attendees list and have an estimate of numbers.

-- Forwarded message --
From: Datameet Pune 
Date: Wed, 29 Mar 2017 00:58:42 +0530
Subject: Catching up
To:

*Dear friends,*Its been a while since we met. We're holding our next meetup
this *Saturday, 1st of April *at *4 pm (till 6 pm)* at the venue below.

*Seed Infotech Ltd.,*
'Panchasheel',
42/16, Erandawana, SEED Infotech Lane,
Off Karve Road, Pune-411004

This session will be an informal one. We won't have any one particular
speaker this time but we invite you to bring along any public data that
you're working with. You can feel free to discuss it with others, and seek
help or learn from the community. Learners of all levels welcome.
If we have people familiar with Python/R or other data science tools, who
want to share some of their knowledge please mail us. We can have a general
learning session as well.

Regards
Craig


-- 
Datameet is a volunteer group interested in data related issues relevant to
the social sector. We work to improve the quality of public
information/data on multiple issues such as public transport, education,
city budgets, rural development. Contact us via email to hear about our
next meetup.

*Datameet Pune Interest Form/Mailing list*: Click here

*E-mail*: p...@datameet.org
*Twitter*: https://twitter.com/DatameetPune
*Web*: http://datameet.org/chapters/pune/
*Meetup*: http://www.meetup.com/DataMeet-Pune/
*Slack channel*: Click here

*Datameet Code of Conduct*: Click here

*Datameet Mailing list*: Click here


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-- 
--
Cheers,
Nikhil
+91-966-583-1250
Pune, India
Self-designed learner at Swaraj University 
Blog  | Contribute


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[datameet] Introducing Diego Canales: Leading the open data initiative for WRI

[Ojas Shetty]

Dear Datameet members,


Diego Canales from the World Resources Institute will be in India between
the 6th and 14th of April. With more than 20 years of experience in open
data, Diego has worked with many transit agencies across the world to help
them open up their data. He champions the open data effort in WRI and looks
at how disruptive models in new mobility can emerge using open transit
data. You can read more about him here
.


Diego is currently engaged with two very interesting initiatives (among
other things)



*Accessibility Tool: Bangalore Case Study*

The accessibility tool measures the accessibility of different services
from different points in the city. Diego was involved with the team at WRI
Bangalore to measure the accessibility of jobs via public transport from
any point in Bangalore within a given radius under a given time span.
Insights from this study will inform planning agencies to make transit
networks more accessible. This work is likely to scale to other cities as
well.



*Open Transport Partnership (OTP)*

Private transit operators like cab aggregators are collecting and equipped
with more travel data than the government and transit agencies. These data
points can be very instrumental in understanding commuter patterns that can
then inform transport planning and address issues related to congestion and
emissions. Open Traffic is a platform under the OTP where aggregators can
share anonymised GPS data of their fleet with government agencies and urban
planners. Such an effort was led by the world bank in Manila in the
Philippines. You can read more about it here

.


*Diego will be visiting Delhi and Bangalore. If the community in Delhi or
Bangalore is interested understanding more  about these initiatives, we can
arrange for an informal meet up where the community can talk about their
work in the space and Diego can elaborate more on the aforementioned
initiatives.*



For details, please contact ojas2...@gmail.com or call at +91 9920266825.


Thank you!


warmly,



Ojas Shetty

Research Consultant - Urban Innovations

Sustainable Cities

WRI India

WRIcitiesIndia.org

Cell: +91 9920266825 | email: ojas2...@gmail.com | Blog: TheCityFix.com


WRI India is an environmental group that works closely with leaders to turn
big ideas into action to sustain India's natural resources - the foundation
of economic opportunity and human well-being.

Brazil | China | Europe | Mexico | India | Indonesia | Turkey | United
States

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[datameet] Fwd: New Mobility Dialogues at ConnectKaro 2017, New Delhi

[Ojas Shetty]

Dear Datameet members,

Connect Karo 2017 is just around the corner - 5th - 7th April. And this
year we are hosting the New Mobility Dialogues on the 6th.

The New Mobility Dialogues has four sessions based on case studies of how
different data sets have been used to generate insights.



- 4 PM to 4:15 PM: Uber Movement

Uber Movement works with city officials, urban planners and transport
planners by making anonymous GPS data from its fleet accessible. The
session will throw insights on how data aggregated over time starts
revealing  patterns and how that feeds into smarter data driven urban and
transport planning



- 4:15 PM to 4:30 PM: Using cell phone data for better planning

KPIT conducted a pilot on the city of Pune by analysing positional data
from cell phones to understand travel patterns at different times of the
day. The session will throw insights on what emerged from pilot



- 5:30 PM to 5:45 PM: Partnerships for city data

WRI India Sustainable Cities conducted an accessibility study by using a
toll of the world bank. The study made it possible to know from a given
point in Bangalore, within a given radius, within a given time duration,
how many jobs were accessible via public transport



- 5:45 PM to 6 PM: How the city moves

A session by Ola on how they experiment with access levels and use that
data to understand how commuters change their preferences”

​Registration link is given below. Hope to see you there!






*NEW MOBILITY DIALOGUES AT #CK2017*

*NEW MOBILITY DIALOGUES *

*In partnership with*

*6th April 2017*

*Indian Habitat Centre, New Delhi*

*REGISTRATION IS MANDATORY, LIMITED SEATING ONLY *

WRI India is hosting ‘*New* *Mobility Dialogues’* – a day long gathering of
startups, enterprises, incubators, smart city representatives and mobility
experts on 6th April 2017 (9:30 am – 5 pm) at the India Habitat Centre in
New Delhi.

This event is being hosted as part of the *5**th* *edition* *of* *WRI*
*India’s* *annual* *conference* *Connect* *Karo* *2017* being held over
three days (from 5-7 April 2017). Connect Karo brings together thought
leaders and policy makers committed to designing a more equal city. During
the event, presenters from various fields, such as urban design, urban
planning, transport, energy, water and climate research, will be invited to
share their insights and current research findings. Connect Karo is part of
a global series of events focused on sustainable urban development hosted
by the global network of WRI Ross Center for Sustainable Cities.

More information about the event can be seen at connectkaro.org

.


Click to register




*Program Agenda*


*2:30 pm to 2:45 pm: Registration*
*2:45 pm to 3:00 pm:** Boosting entrepreneurship and building a vibrant
startup ecosystem in India*
Led by Startup India


*3:00 pm to 4:00 pm: Frenemies forever: The role of unlikely alliances in
furthering new mobility *
Led by Orahi, Baxi and Electric Mobility Alliance
*This informal and highly interactive session would focus on the need for
building alliances with players especially competitors and how such
partnerships can be beneficial. The session will focus on building
alliances with competitors, convening stakeholders in a nascent market,
benefits and pitfalls of collaborative associations.*


*4:00 pm to 4:15 pm: The city and its data: UberMovement in India (TBC)*
Led by Uber India
*This talk would focus on how Uber is using data to plan better operations
and its global efforts in sharing data with cities through initiatives like
Uber Movement.*


*4:15 pm to 4:30 pm: Talk: Use of cellphone data for city planning *
Led by Abbas Rawat, Director – Global Product Marketing, KPIT
*This talk would focus on going beyond traditional data for integrated
transportation in smart cities and how large and accurate datasets from
cellphones can be used for transport planning.*


*4:30 pm to 5:30 pm:* * Workshop: Taming the beast: Regulating new mobility
enterprises in India*
Led by Rishabh Sinha, Counsel (Investment, Technology and Policy), TRA
*This interactive workshop would focus on the existing regulations in the
new mobility space and would use cases as working examples to illustrate
the nuances of regulations relevant for various business models. This
workshop is meant for existing as well as emerging enterprises in the
mobility space.*


*5:30 pm to 5:45 pm:* *Talk: Partnerships for city data*
Led by Diego Canales, Tools and Data Innovation Associate, WRI Ross Center
for Sustainable Cities


*5.45 pm to 6.00 pm:* *Talk: How the city moves: Insights (TBC)*
Led by OlaCabs


*6.00 pm to 6.30 pm:* *Networking over Coffee*



If you would like to register for ot

Re: [datameet] Data on Tax

[Pramit Bhattacharya]

This piece (with links to more pieces) might be of interest:
http://www.livemint.com/Politics/IokyMXFN1Rpi4GP6mV3F4J/The-many-shades-of-corporate-tax-evasion.html
And this report has some estimates by CBDT on black money:
http://dor.gov.in/sites/default/files/Measures_Tackle_BlackMoney.pdf

Pramit Bhattacharya
Mint
1st Floor, Hindustan Times House
18-20, Kasturba Gandhi Marg
New Delhi - 110001

Mint page: http://bit.ly/1iN0cR1
Twitter handle: pramit_b

Phone: (011) 6656 1684
Alternative email: prami...@livemint.com

*"Inside us there is something that has no name, that something is what we
are." ~ Jose Saramago*

On Wed, Mar 29, 2017 at 12:41 PM, Nikhil VJ  wrote:

> Hi Thej,
>
> "Tax avoidance" or so might be better terms to use, else technically
> even the Dandi Salt Satyagraha was an act of "cheating" and will be
> perceived by future generations as so instead of the protest against
> an invasive and exploitative big government that it really was.
> There's no guarantees on history not repeating itself.
>
> Also I think when earlier generations talked about the need to
> separate state and religion they were referring in part to keeping
> legalities and ethics separate : to not let a governing authority or
> bureaucracy dictate what is ethical and unethical.
>
> And I have a feeling that these statistics are actually subtraction
> results rather than actual statistics coming from raw data : Guess the
> number of people/companies that you think ought be paying taxes by
> triangulating other datasets like luxury goods sales, home buying etc.
> Subtract from it the actual number of tax payers (which would be the
> real and traceable data here coming from official records) . Balance
> is the guessed up (however intelligently, still a guess and not
> traceable back to any raw data) number of tax avoiders.
> I reckon that would be so because otherwise they could be easily
> traced down and the taxes recovered.
>
> Tax or revenue foregone, ie, tax purposefully not collected by govt
> from specific groups of individuals and companies -- on the other hand
> might be some hard data that one can work on. P Sainath and others
> have been talking about it since many years now and have been alleging
> that it's been illegitimately continued and inflated from a temporary
> pro-business incentive into a permanent state subsidy granted sans
> questioning to well-off entities (aka socialism for the rich) that
> could, if collected, fund most of the welfare schemes, OROP etc and
> mitigate govt deficits or pay off international loans. While we've
> been only seeing grand totals regarding this till now, it would be
> great if some deeper data analysis on this could be made possible and
> accessible.
>
>
>
> On 3/23/17, Thejesh GN  wrote:
> > Are there any data sources on the quantity of
> >
> > - Individual tax payers in India cheated government by various means
> >
> > And
> >
> > - Organizations/Companies running business out of India cheated
> government
> > by various means
> >
> >
> >
> > Thej
> > --
> > Thejesh GN ⏚ ತೇಜೇಶ್ ಜಿ.ಎನ್
> > http://thejeshgn.com
> >
> > --
> > Datameet is a community of Data Science enthusiasts in India. Know more
> > about us by visiting http://datameet.org
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> >
>
>
> --
> --
> Cheers,
> Nikhil
> +91-966-583-1250
> Pune, India
> Self-designed learner at Swaraj University  org>
> Blog  | Contribute
> 
>
> --
> Datameet is a community of Data Science enthusiasts in India. Know more
> about us by visiting http://datameet.org
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Re: [datameet] Data on Tax

[Nikhil VJ]

Hi Thej,

"Tax avoidance" or so might be better terms to use, else technically
even the Dandi Salt Satyagraha was an act of "cheating" and will be
perceived by future generations as so instead of the protest against
an invasive and exploitative big government that it really was.
There's no guarantees on history not repeating itself.

Also I think when earlier generations talked about the need to
separate state and religion they were referring in part to keeping
legalities and ethics separate : to not let a governing authority or
bureaucracy dictate what is ethical and unethical.

And I have a feeling that these statistics are actually subtraction
results rather than actual statistics coming from raw data : Guess the
number of people/companies that you think ought be paying taxes by
triangulating other datasets like luxury goods sales, home buying etc.
Subtract from it the actual number of tax payers (which would be the
real and traceable data here coming from official records) . Balance
is the guessed up (however intelligently, still a guess and not
traceable back to any raw data) number of tax avoiders.
I reckon that would be so because otherwise they could be easily
traced down and the taxes recovered.

Tax or revenue foregone, ie, tax purposefully not collected by govt
from specific groups of individuals and companies -- on the other hand
might be some hard data that one can work on. P Sainath and others
have been talking about it since many years now and have been alleging
that it's been illegitimately continued and inflated from a temporary
pro-business incentive into a permanent state subsidy granted sans
questioning to well-off entities (aka socialism for the rich) that
could, if collected, fund most of the welfare schemes, OROP etc and
mitigate govt deficits or pay off international loans. While we've
been only seeing grand totals regarding this till now, it would be
great if some deeper data analysis on this could be made possible and
accessible.



On 3/23/17, Thejesh GN  wrote:
> Are there any data sources on the quantity of
>
> - Individual tax payers in India cheated government by various means
>
> And
>
> - Organizations/Companies running business out of India cheated government
> by various means
>
>
>
> Thej
> --
> Thejesh GN ⏚ ತೇಜೇಶ್ ಜಿ.ಎನ್
> http://thejeshgn.com
>
> --
> Datameet is a community of Data Science enthusiasts in India. Know more
> about us by visiting http://datameet.org
> ---
> You received this message because you are subscribed to the Google Groups
> "datameet" group.
> To unsubscribe from this group and stop receiving emails from it, send an
> email to datameet+unsubscr...@googlegroups.com.
> For more options, visit https://groups.google.com/d/optout.
>


-- 
--
Cheers,
Nikhil
+91-966-583-1250
Pune, India
Self-designed learner at Swaraj University 
Blog  | Contribute


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