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app.py

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+import streamlit as st
+import numpy as np
+import pandas as pd
+import plotly.express as px
+
+st.set_page_config(layout="wide")
+
+df = pd.read_csv("geospatial_data.csv")
+
+st.sidebar.title("Census Data")
+
+list_of_states = list(df["State"].unique())
+list_of_states.insert(0,"Overall States")
+
+select_state = st.sidebar.selectbox("Select State",list_of_states)
+primary_params = st.sidebar.selectbox("Select Primary Parameter",sorted(df.columns[5:]))
+secondary_params = st.sidebar.selectbox("Select Secondary Parameter",sorted(df.columns[5:]))
+
+plot = st.sidebar.button("Plot Graph")
+
+if plot:
+    st.text("Size represents primary parameter")
+    st.text("Color represents secondary parameter")
+    if select_state == "Overall States":
+        fig = px.scatter_mapbox(df,"Latitude","Longitude",zoom=4,mapbox_style="carto-positron",size=primary_params,color=secondary_params,size_max=35,width=1200,height=700,hover_name="District")
+        st.plotly_chart(fig,use_container_width=True)
+    else:
+        # plotting for particular state
+        state_df = df[df["State"] == select_state]
+        fig = px.scatter_mapbox(state_df,"Latitude","Longitude",zoom=3,mapbox_style="carto-positron",size=primary_params,color=secondary_params,size_max=35,width=1200,height=700,hover_name="District")
+        st.plotly_chart(fig,use_container_width=True)
+

geospatial_data.csv

@@ -0,0 +1,518 @@
+,State,District,Latitude,Longitude,District code,Population,Households_with_Internet,sex_ratio,literacy_rate
+0,Andhra Pradesh,Adilabad,19.284513950073435,78.81321233480176,532,2741239,5512,100.0,54.0
+1,Andhra Pradesh,Anantapur,14.312065561843148,77.4601584478577,553,4081148,8606,98.0,57.0
+2,Andhra Pradesh,Chittoor,13.33109263067696,78.92763898886037,554,4174064,13763,100.0,64.0
+3,Andhra Pradesh,East Godavari,16.782718320784902,82.2432074720511,545,5154296,22411,101.0,64.0
+4,Andhra Pradesh,Guntur,15.884925767634847,80.58657614107885,548,4887813,19383,100.0,61.0
+5,Andhra Pradesh,Hyderabad,17.38971555555556,78.46668888888888,536,3943323,149034,95.0,73.0
+6,Andhra Pradesh,Karimnagar,18.515483193277312,79.43765428571413,534,3776269,8831,101.0,58.0
+7,Andhra Pradesh,Khammam,17.683921325051784,80.67008643892335,541,2797370,8628,101.0,58.0
+8,Andhra Pradesh,Krishna,16.143872753151673,81.14805061000413,547,4517398,30438,99.0,67.0
+9,Andhra Pradesh,Kurnool,15.43759715142429,77.90086836581717,552,4053463,10081,99.0,52.0
+10,Andhra Pradesh,Mahbubnagar,16.639546224256293,77.98933089244859,538,4053028,6153,98.0,48.0
+11,Andhra Pradesh,Medak,17.889304978038055,78.13778901903379,535,3033288,8635,99.0,54.0
+12,Andhra Pradesh,Nalgonda,17.113250515463907,79.16984453608244,539,3488809,7715,98.0,57.0
+13,Andhra Pradesh,Nizamabad,18.429485849056604,78.07523490566035,533,2551335,5261,104.0,54.0
+14,Andhra Pradesh,Prakasam,15.489039001601704,80.11665790176184,549,3397448,6151,98.0,56.0
+15,Andhra Pradesh,Srikakulam,18.570900998697432,84.25874814010675,542,2703114,3988,101.0,55.0
+16,Andhra Pradesh,Vizianagaram,18.28329696032972,83.45982854198873,543,2344474,4453,102.0,53.0
+17,Andhra Pradesh,Warangal,18.01752608695651,79.87422028985509,540,3512576,12952,100.0,59.0
+18,Andhra Pradesh,West Godavari,16.63297943925236,81.45912990654196,546,3936966,12050,100.0,67.0
+19,Arunachal Pradesh,Changlang,27.36048479338845,96.37552644628106,253,148226,170,93.0,49.0
+20,Arunachal Pradesh,East Kameng,27.371194055944056,93.04741486013997,247,78690,57,103.0,49.0
+21,Arunachal Pradesh,East Siang,28.15382352941176,95.06499226006191,251,99214,450,98.0,63.0
+22,Arunachal Pradesh,Kurung Kumey,28.04853351800553,93.24531994459834,256,92076,95,103.0,40.0
+23,Arunachal Pradesh,Lohit,27.946785273972623,96.59670770547945,259,145726,312,91.0,57.0
+24,Arunachal Pradesh,Lower Dibang Valley,28.32651730103806,95.76567335640142,258,54080,207,93.0,59.0
+25,Arunachal Pradesh,Lower Subansiri,27.70849297297297,93.96226108108112,255,83030,381,98.0,65.0
+26,Arunachal Pradesh,Papum Pare,27.273529716981127,93.54468183962264,248,176573,2477,98.0,69.0
+27,Arunachal Pradesh,Tawang,27.680683962264148,91.82504245283016,245,49977,96,71.0,52.0
+28,Arunachal Pradesh,Tirap,26.94406229508198,95.41470327868862,254,111975,98,94.0,43.0
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+31,Arunachal Pradesh,West Kameng,27.46486582278483,92.65015750452083,246,83947,202,82.0,58.0
+32,Arunachal Pradesh,West Siang,28.106296920289843,94.53510344202908,250,112274,303,93.0,58.0
+33,Assam,Barpeta,26.427872264631056,90.97912010178116,303,1693622,2078,95.0,53.0
+34,Assam,Bongaigaon,26.45012521994133,90.6734296187684,319,738804,2523,97.0,59.0
+35,Assam,Cachar,24.815570668693017,92.86849650455927,316,1736617,5316,96.0,68.0
+36,Assam,Darrang,26.58463215962442,92.04141338028155,325,928500,1166,95.0,52.0
+37,Assam,Dhemaji,27.586533438485816,94.71336908517353,308,686133,1192,95.0,62.0
+38,Assam,Dibrugarh,27.30612284482757,95.0998282327587,310,1326335,8817,96.0,67.0
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+40,Assam,Golaghat,26.377219709794485,93.82583397823468,313,1066888,3073,96.0,68.0
+41,Assam,Hailakandi,24.457496089385486,92.59154664804475,318,659296,1211,95.0,62.0
+42,Assam,Jorhat,26.76244824016563,94.30197722567289,312,1092256,5651,96.0,73.0
+43,Assam,Kamrup,26.170939452054807,91.58863273972592,321,1517542,3109,95.0,66.0
+44,Assam,Karbi Anglong,26.08966454598031,93.11536570271832,314,956313,1923,95.0,58.0
+45,Assam,Karimganj,24.69660712250711,92.3679498575498,317,1228686,1933,96.0,65.0
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+47,Assam,Lakhimpur,27.14128805970149,94.0775949253732,307,1042137,1948,97.0,66.0
+48,Assam,Nagaon,26.26462170626351,92.9306191144708,305,2823768,5121,96.0,61.0
+49,Assam,Nalbari,26.46323767605632,91.40598521126763,323,771639,1631,95.0,69.0
+50,Assam,Sonitpur,26.73514926829268,92.85197804878044,306,1924110,4358,96.0,58.0
+51,Assam,Tinsukia,27.53549291139241,95.69055949367085,309,1327929,5135,95.0,60.0
+52,Bihar,Araria,26.211528119180603,87.30766554934816,209,2811569,2561,92.0,43.0
+53,Bihar,Aurangabad,24.774291867469877,84.45986024096379,235,2540073,2362,93.0,58.0
+54,Bihar,Aurangabad,24.774291867469877,84.45986024096379,515,3701282,23258,92.0,68.0
+55,Maharashtra,Aurangabad,20.0979228832952,75.32072196796334,235,2540073,2362,93.0,58.0
+56,Maharashtra,Aurangabad,20.0979228832952,75.32072196796334,515,3701282,23258,92.0,68.0
+57,Bihar,Banka,24.832355642023337,86.8664916342413,225,2034763,1704,91.0,47.0
+58,Bihar,Begusarai,25.54302613168723,86.12560144032932,222,2970541,4644,89.0,52.0
+59,Bihar,Bhagalpur,25.277192885375477,87.04213814229242,224,3037766,6764,88.0,52.0
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+61,Bihar,Buxar,25.48593018867924,84.08808081760995,232,1706352,1784,92.0,58.0
+62,Bihar,Darbhanga,26.146187719298258,85.97387352472099,215,3937385,6280,91.0,46.0
+63,Bihar,Gaya,24.7266541547278,84.94291217765044,236,4391418,6856,94.0,52.0
+64,Bihar,Gopalganj,26.44874364161851,84.34636127167629,217,2562012,3707,102.0,54.0
+65,Bihar,Jamui,24.78418380462726,86.26316298200514,238,1760405,1839,92.0,49.0
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+76,Bihar,Nawada,24.825708836206903,85.61594568965519,237,2219146,1841,94.0,49.0
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+498,Uttaranchal,Champawat,29.29142393939393,80.07720212121217,65,259648,548,98.0,68.0
+499,Uttaranchal,Pithoragarh,30.14720631868129,80.34229230769236,62,483439,1344,102.0,71.0
+500,Uttaranchal,Tehri Garhwal,30.463700918635173,78.48783792650917,59,618931,1366,108.0,66.0
+501,Uttaranchal,Udham Singh Nagar,29.02779577677222,79.45629004524895,67,1648902,7883,92.0,63.0
+502,Uttaranchal,Uttarkashi,30.968958552036234,78.56880615384617,56,330086,602,96.0,65.0
+503,West Bengal,Bankura,23.081280892857155,87.12640053571437,339,3596674,4273,96.0,62.0
+504,West Bengal,Barddhaman,23.444453888888884,87.8150581111111,335,7717563,32323,95.0,68.0
+505,West Bengal,Birbhum,24.06389342723,87.65153089201888,334,3502404,5210,96.0,62.0
+506,West Bengal,Dakshin Dinajpur,25.342094363021435,88.69821679819614,331,1676276,2518,96.0,65.0
+507,West Bengal,Darjiling,26.839619571045585,88.33145067024122,327,1846823,10943,97.0,71.0
+508,West Bengal,Haora,22.401674174428507,87.99421176968654,341,4850029,30751,94.0,74.0
+509,West Bengal,Hugli,22.87929264705881,88.00010264705891,338,5519145,31725,96.0,74.0
+510,West Bengal,Jalpaiguri,26.62642031250004,89.04154375000003,328,3872846,9322,95.0,65.0
+511,West Bengal,Kolkata,22.550581481481483,88.3527648148148,342,4496694,136618,91.0,80.0
+512,West Bengal,Maldah,25.08026802575105,88.17191684549356,332,3988845,5357,94.0,52.0
+513,West Bengal,Murshidabad,24.25950655391121,88.16816860465121,333,7103807,7951,96.0,57.0
+514,West Bengal,Nadia,23.56410971055088,88.58293034547152,336,5167600,12787,95.0,67.0
+515,West Bengal,Puruliya,23.254192328767108,86.3968532876713,340,2930115,3551,96.0,55.0
+516,West Bengal,Uttar Dinajpur,26.044619165196977,88.23595232216337,330,3007134,2883,94.0,50.0

requirements.txt

@@ -0,0 +1,4 @@
+pandas
+numpy
+streamlit
+plotly