Founded in 2015, Zingat operates as an intermediary between potential buyers and real estate offices. It serves as an online marketplace where real estate offices show their inventory and help potential buyers to make the right decision. To help both parties, Zingat considers providing right and accurate information about all aspects of real estate market as the main priority. In this regard, evaluating the value of real estates is crucial. Using statistical models, we estimate the value of real estates in our website for any interested parties. We collect relevant information from the users and provide them accurate information about their estates. For this purpose, we regularly build new and better models using new technologies in the field of data science. In order to challenge our models, now we invite you to build a better model. :) The best model will be determined by the performance and economical reasoning of the model.
The dataset contains information on 225738 listings from Zingat.com. As all real datasets, the data is not clean and not ready to model. You may need to clean, remove, aggregate, or group some observations or variables. You may need to create new variables or using your economic intuition (because valuation is an economic concept after all), you can make assumptions or transformations about the data. As long as the assumptions or transformations are rational, they are valid.
Column Name | Descriptions | Notes |
---|---|---|
Type | Type of property | Konut = Housing |
sub_type | sub group of Property Type | Daire = Flat |
start_date | the date when listing is started to be active on market | |
end_date | the date when listing is not active on market anymore | |
listing_type | Type of listing | Satılık = Sale, Kiralık = Rent |
building_age | Building age | “arası” means between |
total_floor_count | Count of total floors in the building | |
room_count | Count of rooms in the flat | for example 2+1 represents room count + livingroom count |
Size | House size | m2 |
student_avaliable | Availability for students | Evet = Yes,Hayır = No |
mortgage_avaliable | Availability for mortgage | Evet = Yes·,Hayır = No |
address | The address of the housing | city/county/district |
furnished | Whether the house is furnished | Eşyalı = Furnished, Eşyasız = Unfurnished, Sadece Beyaz Eşya = only white appliances, Sadece Mutfak = only kitchen |
currency | House price currency | |
floor_no | The floor number information of the given listing | Yüksek giriş = 1st floor, Giriş kat, Kot1, Zemin kat = ground floor, Çatı Katı = penthouse apartment, Bahçe katı = garden floor flat |
Price | House price | |
heating_type | Different types of heating systems | Kalorifer (Doğalgaz) = central heating/natural gas, Kalorifer (Kömür) = central heating/coal, Kombi (Elektrikli) = combi boiler, Klima = air-conditioning, Kombi (Doğalgaz) = gas-combi boiler, Merkezi Sistem = central heating, Merkezi Sistem (Isı Payı Ölçer) =central heating, Yerden Isıtma = floor heating, Soba (Kömür) = heating stove/coal, Soba (Doğalgaz) = heating stove/natural gas, Güneş Enerjisi = solar energy, Jeotermal = geothermal energy, Fancoil = a type of air conditioner, Kat Kaloriferi = central heating, Kalorifer (Akaryakıt) = central heating/fuel oil, Yok = None |
For any inquiries please contact with ozan.senturk-at-zingat.com