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Program Bazlı İstatistikler (2015–2024)\n\nBu CSV, her satırda tek bir programın (ör. *Bilgisayar Mühendisliği – İstanbul Teknik Üniversitesi*) yıllara göre kontenjan, yerleşme, puan, sıralama ve tercih istatistiklerini içerir.\n\n### 📑 Örnek Bilgi Türleri\n- Program kimlik ve tanım bilgileri\n- Yıllık kontenjan ve yerleşme sayıları\n- Taban puan ve sıralama verileri\n- Tercih istatistikleri\n- Özel kontenjan bilgileri (depremzede, kadın, şehit vb.)\n- Cinsiyet ve mezuniyet durumu dağılımı\n- Ek kontenjan istatistikleri\n\n\u003e **Ana sütun grupları**  \n\u003e `id`, `isim`, `universite`, `sure`, `tur`, `kosullar`, `siraid`, `fakulte`, `aciklama`, `il`, `unitur`, `onlisans`,  \n\u003e `kontenjanYYYY`, `yerlesmeYYYY`, `puanYYYY`, `siraYYYY`, `maxpuanYYYY`,  \n\u003e `tercihtoplamYYYY`, `kizYYYY`, `erkekYYYY`, `liseliYYYY`, `mezunYYYY`,  \n\u003e `depremzedekontenjanYYYY`, `kadinkontenjanYYYY`, `sehitkontenjanYYYY`,  \n\u003e `ekkontenjanYYYY`, `eksehitkontenjanYYYY`, `ekkadinkontenjanYYYY`, `ekdepremzedekontenjanYYYY`  \n\u003e *(YYYY → yıl: 2015–2024)*\n\n---\n\n## 📂 2. Üniversite Genel Bilgileri\n\nBu CSV, üniversitelerin temel bilgileri, iletişim bilgileri, akademik personel sayıları ve öğrenci istatistiklerini içerir.\n\n### 📑 Örnek Bilgi Türleri\n- Üniversite kimlik bilgileri\n- İletişim ve konum bilgileri\n- Akademik personel dağılımı\n- Eğitim seviyelerine göre öğrenci sayıları\n\n\u003e **Ana sütunlar**  \n\u003e `isim`, `slug`, `kurulus`, `tur`, `il`, `bolge`, `website`, `eposta`, `telefon`, `fax`, `adres`, `rektor`,  \n\u003e `profesor`, `docent`, `doktor`, `ogretim`, `arastirma`,  \n\u003e `onlisanserkek`, `onlisanskadin`, `onlisanstoplam`,  \n\u003e `lisanserkek`, `lisanskadin`, `lisanstoplam`,  \n\u003e `yukseklisanserkek`, `yukseklisanskadin`, `yukseklisanstoplam`,  \n\u003e `doktoraerkek`, `doktorakadin`, `doktoratoplam`,  \n\u003e `toplamerkek`, `toplamkadin`, `toplam`\n\n---\n\n## 📊 Kullanım Örnekleri\n\n### Python ile Okuma\n```python\nimport pandas as pd\n\n# Program bazlı istatistikler\ndf_program = pd.read_csv(\"program_verileri.csv\")\n\n# Üniversite genel bilgileri\ndf_uni = pd.read_csv(\"universite_bilgileri.csv\")\n\n# 2024 yılı en yüksek taban puana sahip ilk 5 program\nprint(df_program.sort_values(\"puan2024\", ascending=False).head(5))\n\n# En çok lisans öğrencisine sahip 10 üniversite\nprint(df_uni.sort_values(\"lisanstoplam\", ascending=False).head(10))\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmorphaxthedeveloper%2Fyokatlas-dataset-2025","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmorphaxthedeveloper%2Fyokatlas-dataset-2025","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmorphaxthedeveloper%2Fyokatlas-dataset-2025/lists"}