├── README.md ├── pythonkereport 3.pages └── pythonprojectCA.ipynb /README.md: -------------------------------------------------------------------------------- 1 | 🔍 Unveiling West Bengal's Surface Lift Irrigation Insights through Data Science! 📊💧 2 | 3 | Excited to share my latest project where I explored the 6th Minor Irrigation Census data focused on Surface Lift Irrigation Schemes in West Bengal! 4 | 5 | 🌾 Project Goals: 6 | Analyzed the financial aspects: Construction, Machinery, and Maintenance Costs across schemes 7 | 8 | Visualized cost distribution to understand resource allocation 9 | 10 | Explored potential correlations that could help in better planning and investment strategies 11 | 12 | 🔧 Tools Used: Python | Pandas | NumPy | Matplotlib | Seaborn 13 | 14 | ✨ Key Highlights: ✅ Cleaned and pre-processed real-world government data 15 | 16 | ✅ Performed detailed Exploratory Data Analysis (EDA) 17 | 18 | ✅ Visualized average cost contributions through pie charts 19 | 20 | ✅ Identified missing values and handled them effectively for better model reliability 21 | 22 | 🧠 Learning Outcomes: Working with real, complex datasets enhanced my skills in data cleaning, EDA, visualization, and understanding resource utilization patterns. 23 | 24 | It also deepened my appreciation of how data can inform smarter public infrastructure planning. 25 | 26 | 🌍 Why It Matters: Surface lift irrigation is critical for sustainable agriculture in water-scarce regions — data can unlock better efficiency, equity, and impact on rural livelihoods. 27 | 28 | 29 | here are my objective on this topic 30 | *to determine scheme_construction_cost,scheme_machinery_cost,scheme_maintainence_cost 31 | *to find the construction_subsidy,machinery_subsidy 32 | *to analize water_distribution_method_name 33 | *to depict the trends on lifting_device_enrgy_source_name,horse_power_of_lifting_device,pump_operating_days_rabi_season 34 | *to analize culturable_command_area,ipc_kharif_season,ipc_rabi_season,ipc_perennial_season 35 | -------------------------------------------------------------------------------- /pythonkereport 3.pages: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/harshit428288/python/0b1bfe142a6703f9cf0b2be1d15caac4fa5d43b4/pythonkereport 3.pages --------------------------------------------------------------------------------