Name: IPO Data India 2010-2021
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

IPO Data India 2010-2021

Context

Indian IPO Dataset from 2010 to 2021.

Content

A brief description of the columns:

QIB: Qualified institutional buyer
HNI: HNI Category in IPO
Any individual who invests ₹ 2 lakh or less are categorised as ‘Retail Investors’.
Any individual looking to invest ₹ 2 lakh or more is categorised under ‘HNI’ (High Net-Worth Individual).
RII: Retail Individual Investor (RII)
Resident Indian Individuals, NRIs and HUFs who apply for less than Rs 2 lakhs in an IPO under RII category.
Not less than 35% of the Offer is reserved for RII category.
NRI or HUF who appling in an IPO with less than Rs 2,00,000 can apply in RII category.

Acknowledgements

I have got this data from moneycontrol.

Inspiration

I know the dataset is really small but what predictions can you make? May be create a test data and see the results for yourself?
Check on upcoming IPO-s and share the results here.

Tables

Ipo

@kaggle.aimack_ipo_data_india2021.ipo

32.66 kB
265 rows
13 columns

CREATE TABLE ipo (
  "unnamed_0" VARCHAR  -- Unnamed: 0,
  "issue_details" VARCHAR,
  "unnamed_2" VARCHAR  -- Unnamed: 2,
  "subscription" VARCHAR,
  "unnamed_4" VARCHAR  -- Unnamed: 4,
  "unnamed_5" VARCHAR  -- Unnamed: 5,
  "unnamed_6" VARCHAR  -- Unnamed: 6,
  "price" VARCHAR,
  "unnamed_8" VARCHAR  -- Unnamed: 8,
  "unnamed_9" VARCHAR  -- Unnamed: 9,
  "unnamed_10" VARCHAR  -- Unnamed: 10,
  "unnamed_11" VARCHAR  -- Unnamed: 11,
  "unnamed_12" VARCHAR  -- Unnamed: 12
);