first commit

COVID_Restrictions.py

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+import streamlit as st
+import pandas as pd
+import numpy as np
+import altair as alt
+from vega_datasets import data
+
+st.set_page_config(layout="wide")
+st.markdown('# COVID Restrictions')
+st.markdown("""
+    A look into the COVID restrictions currently in place in countries around the world to determine the requirements to succesfully enter a certain country. 
+    Also, can access the history of COVID regulations in each country.
+""")
+
+df = pd.read_csv(r'./data/international-travel-covid.csv')
+df["Day"] = pd.to_datetime(df["Day"])
+codes = pd.read_csv('./data/all.csv')
+df["id"] = 0
+df.rename(columns={'international_travel_controls': 'restrictions'}, inplace=True)
+
+# %%
+#codes.head()
+
+# %%
+for index, row in codes.iterrows():
+    df.loc[(df['Code'] == row["alpha-3"]),'id'] = row["country-code"]
+
+# %%
+df['restrictions'] = df['restrictions'].replace([0,1,2,3,4], 
+                                        ["No measures","Screening","Quarantine from high-risk regions","Ban on high-risk regions","total border closure"])
+
+# %%
+#df.head(15)
+
+# %%
+#df.dtypes
+
+# %%
+df['year'] = df.Day.map(lambda x: x.year)
+df['month'] = df.Day.map(lambda x: x.month)
+df['day'] = df.Day.map(lambda x: x.day)
+
+# %%
+df_first = df[df["day"] == 1]
+
+# %%
+#drop anything before 2023
+df_first = df_first[(df_first["Day"] < '2023-01-01')]
+
+# %%
+#df_first
+
+# %%
+alt.data_transformers.disable_max_rows()
+
+source = alt.topo_feature(data.world_110m.url, "countries")
+
+background = alt.Chart(source).mark_geoshape(fill="white")
+
+years=list(df_first['year'].unique())
+years.sort()
+
+selectorYear = alt.selection_single(
+    name='Y',
+    fields=['year'],
+    init={"year":years[0]},
+    bind=alt.binding_select(options=years, name="Year: ")
+)
+
+months=list(df_first['month'].unique())
+months.sort()
+
+selectorMonth = alt.selection_single(
+    name='Months',
+    fields=['month'],
+    init={"month":months[0]},
+    bind=alt.binding_select(options=months, name="Month: "),
+)
+
+highlight = alt.selection_single(fields=['restrictions'], bind='legend')
+opacityCondition = alt.condition(highlight, alt.value(1.0), alt.value(0.2))
+
+foreground = alt.Chart(df_first,title="The COVID restrictions in each country on the 1st of the month").mark_geoshape(
+        stroke="black", strokeWidth=0.15
+    ).encode(
+        alt.Color(
+            "restrictions:N",
+            scale=alt.Scale(domain=["No measures","Screening","Quarantine from high-risk regions","Ban on high-risk regions","total border closure"],
+                            range=['#ffffcc','#fbec5d','#ffbf00','#ff4d00','#e62020']),
+            legend=alt.Legend(title="", orient="top")
+            
+        )
+        ,tooltip=[alt.Tooltip('Entity:N', title="Country"), alt.Tooltip('restrictions:N', title="Restrictions")],
+        opacity=opacityCondition
+    ).transform_lookup(
+        lookup='id',
+        from_=alt.LookupData(source, key='id',
+                             fields=["type", "properties", "geometry"])
+    ).project("naturalEarth1").transform_filter(
+    selectorYear & selectorMonth
+)
+
+foreground = foreground.add_selection(selectorYear, selectorMonth, highlight).properties(width=700, height=400)
+foreground
+
+# %%
+alt.renderers.set_embed_options(
+    padding={"left": 0, "right": 0, "bottom": 0, "top": 0}
+)
+selectorYear2 = alt.selection_single(
+    name='Years',
+    fields=['year'],
+    init={"year":years[0]},
+    bind=alt.binding_radio(options=years,name="Year: ")
+    #bind=alt.binding_select(options=years, name="Year")
+)
+highlight2 = alt.selection_single(fields=['restrictions'], bind='legend')
+opacityCondition = alt.condition(highlight, alt.value(1.0), alt.value(0.2))
+monthNames = ["","January","February","March","April","May","June","July","August","September","October","November","December"]
+facet = alt.concat(*(
+ alt.Chart(df_first[df_first["month"] == month], title=monthNames[month]).mark_geoshape(
+        stroke="black", strokeWidth=0.15
+    ).encode(
+        alt.Color(
+            "restrictions:N",
+            scale=alt.Scale(domain=["No measures","Screening","Quarantine from high-risk regions","Ban on high-risk regions","total border closure"],
+                            range=['#ffffcc','#fbec5d','#ffbf00','#ff4d00','#e62020']),
+            legend=alt.Legend(title="", orient="top")
+        )
+        ,tooltip=[alt.Tooltip('Entity:N', title="Country"), alt.Tooltip('restrictions:N', title="Restrictions")],
+        opacity=opacityCondition
+    ).transform_lookup(
+        lookup='id',
+        from_=alt.LookupData(source, key='id',
+                             fields=["type", "properties", "geometry"])
+    ).project("naturalEarth1").transform_filter(
+    selectorYear2
+).add_selection(selectorYear2, highlight)
+for month in range(1,13)
+), columns=3
+).properties(background = '#f9f9f9',
+                    title = alt.TitleParams(text = 'The COVID restrictions throughout the different months of the year')
+                  )
+facet

data/GoogleDevCountryGeoCoords.csv

@@ -0,0 +1,246 @@
+name,country,latitude,longitude
+Andorra,AD,42.546245,1.601554
+United Arab Emirates,AE,23.424076,53.847818
+Afghanistan,AF,33.93911,67.709953
+Antigua and Barbuda,AG,17.060816,-61.796428
+Anguilla,AI,18.220554,-63.068615
+Albania,AL,41.153332,20.168331
+Armenia,AM,40.069099,45.038189
+Netherlands Antilles,AN,12.226079,-69.060087
+Angola,AO,-11.202692,17.873887
+Antarctica,AQ,-75.250973,-0.071389
+Argentina,AR,-38.416097,-63.616672
+American Samoa,AS,-14.270972,-170.132217
+Austria,AT,47.516231,14.550072
+Australia,AU,-25.274398,133.775136
+Aruba,AW,12.52111,-69.968338
+Azerbaijan,AZ,40.143105,47.576927
+Bosnia and Herzegovina,BA,43.915886,17.679076
+Barbados,BB,13.193887,-59.543198
+Bangladesh,BD,23.684994,90.356331
+Belgium,BE,50.503887,4.469936
+Burkina Faso,BF,12.238333,-1.561593
+Bulgaria,BG,42.733883,25.48583
+Bahrain,BH,25.930414,50.637772
+Burundi,BI,-3.373056,29.918886
+Benin,BJ,9.30769,2.315834
+Bermuda,BM,32.321384,-64.75737
+Brunei,BN,4.535277,114.727669
+Bolivia,BO,-16.290154,-63.588653
+Brazil,BR,-14.235004,-51.92528
+Bahamas,BS,25.03428,-77.39628
+Bhutan,BT,27.514162,90.433601
+Bouvet Island,BV,-54.423199,3.413194
+Botswana,BW,-22.328474,24.684866
+Belarus,BY,53.709807,27.953389
+Belize,BZ,17.189877,-88.49765
+Canada,CA,56.130366,-106.346771
+Cocos [Keeling] Islands,CC,-12.164165,96.870956
+Congo [DRC],CD,-4.038333,21.758664
+Central African Republic,CF,6.611111,20.939444
+Congo [Republic],CG,-0.228021,15.827659
+Switzerland,CH,46.818188,8.227512
+Côte d'Ivoire,CI,7.539989,-5.54708
+Cook Islands,CK,-21.236736,-159.777671
+Chile,CL,-35.675147,-71.542969
+Cameroon,CM,7.369722,12.354722
+China,CN,35.86166,104.195397
+Colombia,CO,4.570868,-74.297333
+Costa Rica,CR,9.748917,-83.753428
+Cuba,CU,21.521757,-77.781167
+Cape Verde,CV,16.002082,-24.013197
+Christmas Island,CX,-10.447525,105.690449
+Cyprus,CY,35.126413,33.429859
+Czech Republic,CZ,49.817492,15.472962
+Germany,DE,51.165691,10.451526
+Djibouti,DJ,11.825138,42.590275
+Denmark,DK,56.26392,9.501785
+Dominica,DM,15.414999,-61.370976
+Dominican Republic,DO,18.735693,-70.162651
+Algeria,DZ,28.033886,1.659626
+Ecuador,EC,-1.831239,-78.183406
+Estonia,EE,58.595272,25.013607
+Egypt,EG,26.820553,30.802498
+Western Sahara,EH,24.215527,-12.885834
+Eritrea,ER,15.179384,39.782334
+Spain,ES,40.463667,-3.74922
+Ethiopia,ET,9.145,40.489673
+Finland,FI,61.92411,25.748151
+Fiji,FJ,-16.578193,179.414413
+Falkland Islands [Islas Malvinas],FK,-51.796253,-59.523613
+Micronesia,FM,7.425554,150.550812
+Faroe Islands,FO,61.892635,-6.911806
+France,FR,46.227638,2.213749
+Gabon,GA,-0.803689,11.609444
+United Kingdom,GB,55.378051,-3.435973
+Grenada,GD,12.262776,-61.604171
+Georgia,GE,42.315407,43.356892
+French Guiana,GF,3.933889,-53.125782
+Guernsey,GG,49.465691,-2.585278
+Ghana,GH,7.946527,-1.023194
+Gibraltar,GI,36.137741,-5.345374
+Greenland,GL,71.706936,-42.604303
+Gambia,GM,13.443182,-15.310139
+Guinea,GN,9.945587,-9.696645
+Guadeloupe,GP,16.995971,-62.067641
+Equatorial Guinea,GQ,1.650801,10.267895
+Greece,GR,39.074208,21.824312
+South Georgia and the South Sandwich Islands,GS,-54.429579,-36.587909
+Guatemala,GT,15.783471,-90.230759
+Guam,GU,13.444304,144.793731
+Guinea-Bissau,GW,11.803749,-15.180413
+Guyana,GY,4.860416,-58.93018
+Gaza Strip,GZ,31.354676,34.308825
+Hong Kong,HK,22.396428,114.109497
+Heard Island and McDonald Islands,HM,-53.08181,73.504158
+Honduras,HN,15.199999,-86.241905
+Croatia,HR,45.1,15.2
+Haiti,HT,18.971187,-72.285215
+Hungary,HU,47.162494,19.503304
+Indonesia,ID,-0.789275,113.921327
+Ireland,IE,53.41291,-8.24389
+Israel,IL,31.046051,34.851612
+Isle of Man,IM,54.236107,-4.548056
+India,IN,20.593684,78.96288
+British Indian Ocean Territory,IO,-6.343194,71.876519
+Iraq,IQ,33.223191,43.679291
+Iran,IR,32.427908,53.688046
+Iceland,IS,64.963051,-19.020835
+Italy,IT,41.87194,12.56738
+Jersey,JE,49.214439,-2.13125
+Jamaica,JM,18.109581,-77.297508
+Jordan,JO,30.585164,36.238414
+Japan,JP,36.204824,138.252924
+Kenya,KE,-0.023559,37.906193
+Kyrgyzstan,KG,41.20438,74.766098
+Cambodia,KH,12.565679,104.990963
+Kiribati,KI,-3.370417,-168.734039
+Comoros,KM,-11.875001,43.872219
+Saint Kitts and Nevis,KN,17.357822,-62.782998
+North Korea,KP,40.339852,127.510093
+South Korea,KR,35.907757,127.766922
+Kuwait,KW,29.31166,47.481766
+Cayman Islands,KY,19.513469,-80.566956
+Kazakhstan,KZ,48.019573,66.923684
+Laos,LA,19.85627,102.495496
+Lebanon,LB,33.854721,35.862285
+Saint Lucia,LC,13.909444,-60.978893
+Liechtenstein,LI,47.166,9.555373
+Sri Lanka,LK,7.873054,80.771797
+Liberia,LR,6.428055,-9.429499
+Lesotho,LS,-29.609988,28.233608
+Lithuania,LT,55.169438,23.881275
+Luxembourg,LU,49.815273,6.129583
+Latvia,LV,56.879635,24.603189
+Libya,LY,26.3351,17.228331
+Morocco,MA,31.791702,-7.09262
+Monaco,MC,43.750298,7.412841
+Moldova,MD,47.411631,28.369885
+Serbia and Montenegro,ME,42.708678,19.37439
+Madagascar,MG,-18.766947,46.869107
+Marshall Islands,MH,7.131474,171.184478
+Macedonia [FYROM],MK,41.608635,21.745275
+Mali,ML,17.570692,-3.996166
+Myanmar [Burma],MM,21.913965,95.956223
+Mongolia,MN,46.862496,103.846656
+Macau,MO,22.198745,113.543873
+Northern Mariana Islands,MP,17.33083,145.38469
+Martinique,MQ,14.641528,-61.024174
+Mauritania,MR,21.00789,-10.940835
+Montserrat,MS,16.742498,-62.187366
+Malta,MT,35.937496,14.375416
+Mauritius,MU,-20.348404,57.552152
+Maldives,MV,3.202778,73.22068
+Malawi,MW,-13.254308,34.301525
+Mexico,MX,23.634501,-102.552784
+Malaysia,MY,4.210484,101.975766
+Mozambique,MZ,-18.665695,35.529562
+Namibia,NA,-22.95764,18.49041
+New Caledonia,NC,-20.904305,165.618042
+Niger,NE,17.607789,8.081666
+Norfolk Island,NF,-29.040835,167.954712
+Nigeria,NG,9.081999,8.675277
+Nicaragua,NI,12.865416,-85.207229
+Netherlands,NL,52.132633,5.291266
+Norway,NO,60.472024,8.468946
+Nepal,NP,28.394857,84.124008
+Nauru,NR,-0.522778,166.931503
+Niue,NU,-19.054445,-169.867233
+New Zealand,NZ,-40.900557,174.885971
+Oman,OM,21.512583,55.923255
+Panama,PA,8.537981,-80.782127
+Peru,PE,-9.189967,-75.015152
+French Polynesia,PF,-17.679742,-149.406843
+Papua New Guinea,PG,-6.314993,143.95555
+Philippines,PH,12.879721,121.774017
+Pakistan,PK,30.375321,69.345116
+Poland,PL,51.919438,19.145136
+Saint Pierre and Miquelon,PM,46.941936,-56.27111
+Pitcairn Islands,PN,-24.703615,-127.439308
+Puerto Rico,PR,18.220833,-66.590149
+Palestinian Territories,PS,31.952162,35.233154
+Portugal,PT,39.399872,-8.224454
+Palau,PW,7.51498,134.58252
+Paraguay,PY,-23.442503,-58.443832
+Qatar,QA,25.354826,51.183884
+Réunion,RE,-21.115141,55.536384
+Romania,RO,45.943161,24.96676
+Serbia,RS,44.016521,21.005859
+Russia,RU,61.52401,105.318756
+Rwanda,RW,-1.940278,29.873888
+Saudi Arabia,SA,23.885942,45.079162
+Solomon Islands,SB,-9.64571,160.156194
+Seychelles,SC,-4.679574,55.491977
+Sudan,SD,12.862807,30.217636
+Sweden,SE,60.128161,18.643501
+Singapore,SG,1.352083,103.819836
+Saint Helena,SH,-24.143474,-10.030696
+Slovenia,SI,46.151241,14.995463
+Svalbard and Jan Mayen,SJ,77.553604,23.670272
+Slovakia,SK,48.669026,19.699024
+Sierra Leone,SL,8.460555,-11.779889
+San Marino,SM,43.94236,12.457777
+Senegal,SN,14.497401,-14.452362
+Somalia,SO,5.152149,46.199616
+Suriname,SR,3.919305,-56.027783
+São Tomé and Príncipe,ST,0.18636,6.613081
+El Salvador,SV,13.794185,-88.89653
+Syria,SY,34.802075,38.996815
+Swaziland,SZ,-26.522503,31.465866
+Turks and Caicos Islands,TC,21.694025,-71.797928
+Chad,TD,15.454166,18.732207
+French Southern Territories,TF,-49.280366,69.348557
+Togo,TG,8.619543,0.824782
+Thailand,TH,15.870032,100.992541
+Tajikistan,TJ,38.861034,71.276093
+Tokelau,TK,-8.967363,-171.855881
+Timor-Leste,TL,-8.874217,125.727539
+Turkmenistan,TM,38.969719,59.556278
+Tunisia,TN,33.886917,9.537499
+Tonga,TO,-21.178986,-175.198242
+Turkey,TR,38.963745,35.243322
+Trinidad and Tobago,TT,10.691803,-61.222503
+Tuvalu,TV,-7.109535,177.64933
+Taiwan,TW,23.69781,120.960515
+Tanzania,TZ,-6.369028,34.888822
+Ukraine,UA,48.379433,31.16558
+Uganda,UG,1.373333,32.290275
+U.S. Minor Outlying Islands,UM,,
+United States,US,37.09024,-95.712891
+Uruguay,UY,-32.522779,-55.765835
+Uzbekistan,UZ,41.377491,64.585262
+Vatican City,VA,41.902916,12.453389
+Saint Vincent and the Grenadines,VC,12.984305,-61.287228
+Venezuela,VE,6.42375,-66.58973
+British Virgin Islands,VG,18.420695,-64.639968
+U.S. Virgin Islands,VI,18.335765,-64.896335
+Vietnam,VN,14.058324,108.277199
+Vanuatu,VU,-15.376706,166.959158
+Wallis and Futuna,WF,-13.768752,-177.156097
+Samoa,WS,-13.759029,-172.104629
+Kosovo,XK,42.602636,20.902977
+Yemen,YE,15.552727,48.516388
+Mayotte,YT,-12.8275,45.166244
+South Africa,ZA,-30.559482,22.937506
+Zambia,ZM,-13.133897,27.849332
+Zimbabwe,ZW,-19.015438,29.154857

data/all.csv

@@ -0,0 +1,250 @@
+name,alpha-2,alpha-3,country-code,iso_3166-2,region,sub-region,intermediate-region,region-code,sub-region-code,intermediate-region-code
+Afghanistan,AF,AFG,004,ISO 3166-2:AF,Asia,Southern Asia,"",142,034,""
+Åland Islands,AX,ALA,248,ISO 3166-2:AX,Europe,Northern Europe,"",150,154,""
+Albania,AL,ALB,008,ISO 3166-2:AL,Europe,Southern Europe,"",150,039,""
+Algeria,DZ,DZA,012,ISO 3166-2:DZ,Africa,Northern Africa,"",002,015,""
+American Samoa,AS,ASM,016,ISO 3166-2:AS,Oceania,Polynesia,"",009,061,""
+Andorra,AD,AND,020,ISO 3166-2:AD,Europe,Southern Europe,"",150,039,""
+Angola,AO,AGO,024,ISO 3166-2:AO,Africa,Sub-Saharan Africa,Middle Africa,002,202,017
+Anguilla,AI,AIA,660,ISO 3166-2:AI,Americas,Latin America and the Caribbean,Caribbean,019,419,029
+Antarctica,AQ,ATA,010,ISO 3166-2:AQ,"","","","","",""
+Antigua and Barbuda,AG,ATG,028,ISO 3166-2:AG,Americas,Latin America and the Caribbean,Caribbean,019,419,029
+Argentina,AR,ARG,032,ISO 3166-2:AR,Americas,Latin America and the Caribbean,South America,019,419,005
+Armenia,AM,ARM,051,ISO 3166-2:AM,Asia,Western Asia,"",142,145,""
+Aruba,AW,ABW,533,ISO 3166-2:AW,Americas,Latin America and the Caribbean,Caribbean,019,419,029
+Australia,AU,AUS,036,ISO 3166-2:AU,Oceania,Australia and New Zealand,"",009,053,""
+Austria,AT,AUT,040,ISO 3166-2:AT,Europe,Western Europe,"",150,155,""
+Azerbaijan,AZ,AZE,031,ISO 3166-2:AZ,Asia,Western Asia,"",142,145,""
+Bahamas,BS,BHS,044,ISO 3166-2:BS,Americas,Latin America and the Caribbean,Caribbean,019,419,029
+Bahrain,BH,BHR,048,ISO 3166-2:BH,Asia,Western Asia,"",142,145,""
+Bangladesh,BD,BGD,050,ISO 3166-2:BD,Asia,Southern Asia,"",142,034,""
+Barbados,BB,BRB,052,ISO 3166-2:BB,Americas,Latin America and the Caribbean,Caribbean,019,419,029
+Belarus,BY,BLR,112,ISO 3166-2:BY,Europe,Eastern Europe,"",150,151,""
+Belgium,BE,BEL,056,ISO 3166-2:BE,Europe,Western Europe,"",150,155,""
+Belize,BZ,BLZ,084,ISO 3166-2:BZ,Americas,Latin America and the Caribbean,Central America,019,419,013
+Benin,BJ,BEN,204,ISO 3166-2:BJ,Africa,Sub-Saharan Africa,Western Africa,002,202,011
+Bermuda,BM,BMU,060,ISO 3166-2:BM,Americas,Northern America,"",019,021,""
+Bhutan,BT,BTN,064,ISO 3166-2:BT,Asia,Southern Asia,"",142,034,""
+Bolivia (Plurinational State of),BO,BOL,068,ISO 3166-2:BO,Americas,Latin America and the Caribbean,South America,019,419,005
+"Bonaire, Sint Eustatius and Saba",BQ,BES,535,ISO 3166-2:BQ,Americas,Latin America and the Caribbean,Caribbean,019,419,029
+Bosnia and Herzegovina,BA,BIH,070,ISO 3166-2:BA,Europe,Southern Europe,"",150,039,""
+Botswana,BW,BWA,072,ISO 3166-2:BW,Africa,Sub-Saharan Africa,Southern Africa,002,202,018
+Bouvet Island,BV,BVT,074,ISO 3166-2:BV,Americas,Latin America and the Caribbean,South America,019,419,005
+Brazil,BR,BRA,076,ISO 3166-2:BR,Americas,Latin America and the Caribbean,South America,019,419,005
+British Indian Ocean Territory,IO,IOT,086,ISO 3166-2:IO,Africa,Sub-Saharan Africa,Eastern Africa,002,202,014
+Brunei Darussalam,BN,BRN,096,ISO 3166-2:BN,Asia,South-eastern Asia,"",142,035,""
+Bulgaria,BG,BGR,100,ISO 3166-2:BG,Europe,Eastern Europe,"",150,151,""
+Burkina Faso,BF,BFA,854,ISO 3166-2:BF,Africa,Sub-Saharan Africa,Western Africa,002,202,011
+Burundi,BI,BDI,108,ISO 3166-2:BI,Africa,Sub-Saharan Africa,Eastern Africa,002,202,014
+Cabo Verde,CV,CPV,132,ISO 3166-2:CV,Africa,Sub-Saharan Africa,Western Africa,002,202,011
+Cambodia,KH,KHM,116,ISO 3166-2:KH,Asia,South-eastern Asia,"",142,035,""
+Cameroon,CM,CMR,120,ISO 3166-2:CM,Africa,Sub-Saharan Africa,Middle Africa,002,202,017
+Canada,CA,CAN,124,ISO 3166-2:CA,Americas,Northern America,"",019,021,""
+Cayman Islands,KY,CYM,136,ISO 3166-2:KY,Americas,Latin America and the Caribbean,Caribbean,019,419,029
+Central African Republic,CF,CAF,140,ISO 3166-2:CF,Africa,Sub-Saharan Africa,Middle Africa,002,202,017
+Chad,TD,TCD,148,ISO 3166-2:TD,Africa,Sub-Saharan Africa,Middle Africa,002,202,017
+Chile,CL,CHL,152,ISO 3166-2:CL,Americas,Latin America and the Caribbean,South America,019,419,005
+China,CN,CHN,156,ISO 3166-2:CN,Asia,Eastern Asia,"",142,030,""
+Christmas Island,CX,CXR,162,ISO 3166-2:CX,Oceania,Australia and New Zealand,"",009,053,""
+Cocos (Keeling) Islands,CC,CCK,166,ISO 3166-2:CC,Oceania,Australia and New Zealand,"",009,053,""
+Colombia,CO,COL,170,ISO 3166-2:CO,Americas,Latin America and the Caribbean,South America,019,419,005
+Comoros,KM,COM,174,ISO 3166-2:KM,Africa,Sub-Saharan Africa,Eastern Africa,002,202,014
+Congo,CG,COG,178,ISO 3166-2:CG,Africa,Sub-Saharan Africa,Middle Africa,002,202,017
+"Congo, Democratic Republic of the",CD,COD,180,ISO 3166-2:CD,Africa,Sub-Saharan Africa,Middle Africa,002,202,017
+Cook Islands,CK,COK,184,ISO 3166-2:CK,Oceania,Polynesia,"",009,061,""
+Costa Rica,CR,CRI,188,ISO 3166-2:CR,Americas,Latin America and the Caribbean,Central America,019,419,013
+Côte d'Ivoire,CI,CIV,384,ISO 3166-2:CI,Africa,Sub-Saharan Africa,Western Africa,002,202,011
+Croatia,HR,HRV,191,ISO 3166-2:HR,Europe,Southern Europe,"",150,039,""
+Cuba,CU,CUB,192,ISO 3166-2:CU,Americas,Latin America and the Caribbean,Caribbean,019,419,029
+Curaçao,CW,CUW,531,ISO 3166-2:CW,Americas,Latin America and the Caribbean,Caribbean,019,419,029
+Cyprus,CY,CYP,196,ISO 3166-2:CY,Asia,Western Asia,"",142,145,""
+Czechia,CZ,CZE,203,ISO 3166-2:CZ,Europe,Eastern Europe,"",150,151,""
+Denmark,DK,DNK,208,ISO 3166-2:DK,Europe,Northern Europe,"",150,154,""
+Djibouti,DJ,DJI,262,ISO 3166-2:DJ,Africa,Sub-Saharan Africa,Eastern Africa,002,202,014
+Dominica,DM,DMA,212,ISO 3166-2:DM,Americas,Latin America and the Caribbean,Caribbean,019,419,029
+Dominican Republic,DO,DOM,214,ISO 3166-2:DO,Americas,Latin America and the Caribbean,Caribbean,019,419,029
+Ecuador,EC,ECU,218,ISO 3166-2:EC,Americas,Latin America and the Caribbean,South America,019,419,005
+Egypt,EG,EGY,818,ISO 3166-2:EG,Africa,Northern Africa,"",002,015,""
+El Salvador,SV,SLV,222,ISO 3166-2:SV,Americas,Latin America and the Caribbean,Central America,019,419,013
+Equatorial Guinea,GQ,GNQ,226,ISO 3166-2:GQ,Africa,Sub-Saharan Africa,Middle Africa,002,202,017
+Eritrea,ER,ERI,232,ISO 3166-2:ER,Africa,Sub-Saharan Africa,Eastern Africa,002,202,014
+Estonia,EE,EST,233,ISO 3166-2:EE,Europe,Northern Europe,"",150,154,""
+Eswatini,SZ,SWZ,748,ISO 3166-2:SZ,Africa,Sub-Saharan Africa,Southern Africa,002,202,018
+Ethiopia,ET,ETH,231,ISO 3166-2:ET,Africa,Sub-Saharan Africa,Eastern Africa,002,202,014
+Falkland Islands (Malvinas),FK,FLK,238,ISO 3166-2:FK,Americas,Latin America and the Caribbean,South America,019,419,005
+Faroe Islands,FO,FRO,234,ISO 3166-2:FO,Europe,Northern Europe,"",150,154,""
+Fiji,FJ,FJI,242,ISO 3166-2:FJ,Oceania,Melanesia,"",009,054,""
+Finland,FI,FIN,246,ISO 3166-2:FI,Europe,Northern Europe,"",150,154,""
+France,FR,FRA,250,ISO 3166-2:FR,Europe,Western Europe,"",150,155,""
+French Guiana,GF,GUF,254,ISO 3166-2:GF,Americas,Latin America and the Caribbean,South America,019,419,005
+French Polynesia,PF,PYF,258,ISO 3166-2:PF,Oceania,Polynesia,"",009,061,""
+French Southern Territories,TF,ATF,260,ISO 3166-2:TF,Africa,Sub-Saharan Africa,Eastern Africa,002,202,014
+Gabon,GA,GAB,266,ISO 3166-2:GA,Africa,Sub-Saharan Africa,Middle Africa,002,202,017
+Gambia,GM,GMB,270,ISO 3166-2:GM,Africa,Sub-Saharan Africa,Western Africa,002,202,011
+Georgia,GE,GEO,268,ISO 3166-2:GE,Asia,Western Asia,"",142,145,""
+Germany,DE,DEU,276,ISO 3166-2:DE,Europe,Western Europe,"",150,155,""
+Ghana,GH,GHA,288,ISO 3166-2:GH,Africa,Sub-Saharan Africa,Western Africa,002,202,011
+Gibraltar,GI,GIB,292,ISO 3166-2:GI,Europe,Southern Europe,"",150,039,""
+Greece,GR,GRC,300,ISO 3166-2:GR,Europe,Southern Europe,"",150,039,""
+Greenland,GL,GRL,304,ISO 3166-2:GL,Americas,Northern America,"",019,021,""
+Grenada,GD,GRD,308,ISO 3166-2:GD,Americas,Latin America and the Caribbean,Caribbean,019,419,029
+Guadeloupe,GP,GLP,312,ISO 3166-2:GP,Americas,Latin America and the Caribbean,Caribbean,019,419,029
+Guam,GU,GUM,316,ISO 3166-2:GU,Oceania,Micronesia,"",009,057,""
+Guatemala,GT,GTM,320,ISO 3166-2:GT,Americas,Latin America and the Caribbean,Central America,019,419,013
+Guernsey,GG,GGY,831,ISO 3166-2:GG,Europe,Northern Europe,Channel Islands,150,154,830
+Guinea,GN,GIN,324,ISO 3166-2:GN,Africa,Sub-Saharan Africa,Western Africa,002,202,011
+Guinea-Bissau,GW,GNB,624,ISO 3166-2:GW,Africa,Sub-Saharan Africa,Western Africa,002,202,011
+Guyana,GY,GUY,328,ISO 3166-2:GY,Americas,Latin America and the Caribbean,South America,019,419,005
+Haiti,HT,HTI,332,ISO 3166-2:HT,Americas,Latin America and the Caribbean,Caribbean,019,419,029
+Heard Island and McDonald Islands,HM,HMD,334,ISO 3166-2:HM,Oceania,Australia and New Zealand,"",009,053,""
+Holy See,VA,VAT,336,ISO 3166-2:VA,Europe,Southern Europe,"",150,039,""
+Honduras,HN,HND,340,ISO 3166-2:HN,Americas,Latin America and the Caribbean,Central America,019,419,013
+Hong Kong,HK,HKG,344,ISO 3166-2:HK,Asia,Eastern Asia,"",142,030,""
+Hungary,HU,HUN,348,ISO 3166-2:HU,Europe,Eastern Europe,"",150,151,""
+Iceland,IS,ISL,352,ISO 3166-2:IS,Europe,Northern Europe,"",150,154,""
+India,IN,IND,356,ISO 3166-2:IN,Asia,Southern Asia,"",142,034,""
+Indonesia,ID,IDN,360,ISO 3166-2:ID,Asia,South-eastern Asia,"",142,035,""
+Iran (Islamic Republic of),IR,IRN,364,ISO 3166-2:IR,Asia,Southern Asia,"",142,034,""
+Iraq,IQ,IRQ,368,ISO 3166-2:IQ,Asia,Western Asia,"",142,145,""
+Ireland,IE,IRL,372,ISO 3166-2:IE,Europe,Northern Europe,"",150,154,""
+Isle of Man,IM,IMN,833,ISO 3166-2:IM,Europe,Northern Europe,"",150,154,""
+Israel,IL,ISR,376,ISO 3166-2:IL,Asia,Western Asia,"",142,145,""
+Italy,IT,ITA,380,ISO 3166-2:IT,Europe,Southern Europe,"",150,039,""
+Jamaica,JM,JAM,388,ISO 3166-2:JM,Americas,Latin America and the Caribbean,Caribbean,019,419,029
+Japan,JP,JPN,392,ISO 3166-2:JP,Asia,Eastern Asia,"",142,030,""
+Jersey,JE,JEY,832,ISO 3166-2:JE,Europe,Northern Europe,Channel Islands,150,154,830
+Jordan,JO,JOR,400,ISO 3166-2:JO,Asia,Western Asia,"",142,145,""
+Kazakhstan,KZ,KAZ,398,ISO 3166-2:KZ,Asia,Central Asia,"",142,143,""
+Kenya,KE,KEN,404,ISO 3166-2:KE,Africa,Sub-Saharan Africa,Eastern Africa,002,202,014
+Kiribati,KI,KIR,296,ISO 3166-2:KI,Oceania,Micronesia,"",009,057,""
+Korea (Democratic People's Republic of),KP,PRK,408,ISO 3166-2:KP,Asia,Eastern Asia,"",142,030,""
+"Korea, Republic of",KR,KOR,410,ISO 3166-2:KR,Asia,Eastern Asia,"",142,030,""
+Kuwait,KW,KWT,414,ISO 3166-2:KW,Asia,Western Asia,"",142,145,""
+Kyrgyzstan,KG,KGZ,417,ISO 3166-2:KG,Asia,Central Asia,"",142,143,""
+Lao People's Democratic Republic,LA,LAO,418,ISO 3166-2:LA,Asia,South-eastern Asia,"",142,035,""
+Latvia,LV,LVA,428,ISO 3166-2:LV,Europe,Northern Europe,"",150,154,""
+Lebanon,LB,LBN,422,ISO 3166-2:LB,Asia,Western Asia,"",142,145,""
+Lesotho,LS,LSO,426,ISO 3166-2:LS,Africa,Sub-Saharan Africa,Southern Africa,002,202,018
+Liberia,LR,LBR,430,ISO 3166-2:LR,Africa,Sub-Saharan Africa,Western Africa,002,202,011
+Libya,LY,LBY,434,ISO 3166-2:LY,Africa,Northern Africa,"",002,015,""
+Liechtenstein,LI,LIE,438,ISO 3166-2:LI,Europe,Western Europe,"",150,155,""
+Lithuania,LT,LTU,440,ISO 3166-2:LT,Europe,Northern Europe,"",150,154,""
+Luxembourg,LU,LUX,442,ISO 3166-2:LU,Europe,Western Europe,"",150,155,""
+Macao,MO,MAC,446,ISO 3166-2:MO,Asia,Eastern Asia,"",142,030,""
+Madagascar,MG,MDG,450,ISO 3166-2:MG,Africa,Sub-Saharan Africa,Eastern Africa,002,202,014
+Malawi,MW,MWI,454,ISO 3166-2:MW,Africa,Sub-Saharan Africa,Eastern Africa,002,202,014
+Malaysia,MY,MYS,458,ISO 3166-2:MY,Asia,South-eastern Asia,"",142,035,""
+Maldives,MV,MDV,462,ISO 3166-2:MV,Asia,Southern Asia,"",142,034,""
+Mali,ML,MLI,466,ISO 3166-2:ML,Africa,Sub-Saharan Africa,Western Africa,002,202,011
+Malta,MT,MLT,470,ISO 3166-2:MT,Europe,Southern Europe,"",150,039,""
+Marshall Islands,MH,MHL,584,ISO 3166-2:MH,Oceania,Micronesia,"",009,057,""
+Martinique,MQ,MTQ,474,ISO 3166-2:MQ,Americas,Latin America and the Caribbean,Caribbean,019,419,029
+Mauritania,MR,MRT,478,ISO 3166-2:MR,Africa,Sub-Saharan Africa,Western Africa,002,202,011
+Mauritius,MU,MUS,480,ISO 3166-2:MU,Africa,Sub-Saharan Africa,Eastern Africa,002,202,014
+Mayotte,YT,MYT,175,ISO 3166-2:YT,Africa,Sub-Saharan Africa,Eastern Africa,002,202,014
+Mexico,MX,MEX,484,ISO 3166-2:MX,Americas,Latin America and the Caribbean,Central America,019,419,013
+Micronesia (Federated States of),FM,FSM,583,ISO 3166-2:FM,Oceania,Micronesia,"",009,057,""
+"Moldova, Republic of",MD,MDA,498,ISO 3166-2:MD,Europe,Eastern Europe,"",150,151,""
+Monaco,MC,MCO,492,ISO 3166-2:MC,Europe,Western Europe,"",150,155,""
+Mongolia,MN,MNG,496,ISO 3166-2:MN,Asia,Eastern Asia,"",142,030,""
+Montenegro,ME,MNE,499,ISO 3166-2:ME,Europe,Southern Europe,"",150,039,""
+Montserrat,MS,MSR,500,ISO 3166-2:MS,Americas,Latin America and the Caribbean,Caribbean,019,419,029
+Morocco,MA,MAR,504,ISO 3166-2:MA,Africa,Northern Africa,"",002,015,""
+Mozambique,MZ,MOZ,508,ISO 3166-2:MZ,Africa,Sub-Saharan Africa,Eastern Africa,002,202,014
+Myanmar,MM,MMR,104,ISO 3166-2:MM,Asia,South-eastern Asia,"",142,035,""
+Namibia,NA,NAM,516,ISO 3166-2:NA,Africa,Sub-Saharan Africa,Southern Africa,002,202,018
+Nauru,NR,NRU,520,ISO 3166-2:NR,Oceania,Micronesia,"",009,057,""
+Nepal,NP,NPL,524,ISO 3166-2:NP,Asia,Southern Asia,"",142,034,""
+Netherlands,NL,NLD,528,ISO 3166-2:NL,Europe,Western Europe,"",150,155,""
+New Caledonia,NC,NCL,540,ISO 3166-2:NC,Oceania,Melanesia,"",009,054,""
+New Zealand,NZ,NZL,554,ISO 3166-2:NZ,Oceania,Australia and New Zealand,"",009,053,""
+Nicaragua,NI,NIC,558,ISO 3166-2:NI,Americas,Latin America and the Caribbean,Central America,019,419,013
+Niger,NE,NER,562,ISO 3166-2:NE,Africa,Sub-Saharan Africa,Western Africa,002,202,011
+Nigeria,NG,NGA,566,ISO 3166-2:NG,Africa,Sub-Saharan Africa,Western Africa,002,202,011
+Niue,NU,NIU,570,ISO 3166-2:NU,Oceania,Polynesia,"",009,061,""
+Norfolk Island,NF,NFK,574,ISO 3166-2:NF,Oceania,Australia and New Zealand,"",009,053,""
+North Macedonia,MK,MKD,807,ISO 3166-2:MK,Europe,Southern Europe,"",150,039,""
+Northern Mariana Islands,MP,MNP,580,ISO 3166-2:MP,Oceania,Micronesia,"",009,057,""
+Norway,NO,NOR,578,ISO 3166-2:NO,Europe,Northern Europe,"",150,154,""
+Oman,OM,OMN,512,ISO 3166-2:OM,Asia,Western Asia,"",142,145,""
+Pakistan,PK,PAK,586,ISO 3166-2:PK,Asia,Southern Asia,"",142,034,""
+Palau,PW,PLW,585,ISO 3166-2:PW,Oceania,Micronesia,"",009,057,""
+"Palestine, State of",PS,PSE,275,ISO 3166-2:PS,Asia,Western Asia,"",142,145,""
+Panama,PA,PAN,591,ISO 3166-2:PA,Americas,Latin America and the Caribbean,Central America,019,419,013
+Papua New Guinea,PG,PNG,598,ISO 3166-2:PG,Oceania,Melanesia,"",009,054,""
+Paraguay,PY,PRY,600,ISO 3166-2:PY,Americas,Latin America and the Caribbean,South America,019,419,005
+Peru,PE,PER,604,ISO 3166-2:PE,Americas,Latin America and the Caribbean,South America,019,419,005
+Philippines,PH,PHL,608,ISO 3166-2:PH,Asia,South-eastern Asia,"",142,035,""
+Pitcairn,PN,PCN,612,ISO 3166-2:PN,Oceania,Polynesia,"",009,061,""
+Poland,PL,POL,616,ISO 3166-2:PL,Europe,Eastern Europe,"",150,151,""
+Portugal,PT,PRT,620,ISO 3166-2:PT,Europe,Southern Europe,"",150,039,""
+Puerto Rico,PR,PRI,630,ISO 3166-2:PR,Americas,Latin America and the Caribbean,Caribbean,019,419,029
+Qatar,QA,QAT,634,ISO 3166-2:QA,Asia,Western Asia,"",142,145,""
+Réunion,RE,REU,638,ISO 3166-2:RE,Africa,Sub-Saharan Africa,Eastern Africa,002,202,014
+Romania,RO,ROU,642,ISO 3166-2:RO,Europe,Eastern Europe,"",150,151,""
+Russian Federation,RU,RUS,643,ISO 3166-2:RU,Europe,Eastern Europe,"",150,151,""
+Rwanda,RW,RWA,646,ISO 3166-2:RW,Africa,Sub-Saharan Africa,Eastern Africa,002,202,014
+Saint Barthélemy,BL,BLM,652,ISO 3166-2:BL,Americas,Latin America and the Caribbean,Caribbean,019,419,029
+"Saint Helena, Ascension and Tristan da Cunha",SH,SHN,654,ISO 3166-2:SH,Africa,Sub-Saharan Africa,Western Africa,002,202,011
+Saint Kitts and Nevis,KN,KNA,659,ISO 3166-2:KN,Americas,Latin America and the Caribbean,Caribbean,019,419,029
+Saint Lucia,LC,LCA,662,ISO 3166-2:LC,Americas,Latin America and the Caribbean,Caribbean,019,419,029
+Saint Martin (French part),MF,MAF,663,ISO 3166-2:MF,Americas,Latin America and the Caribbean,Caribbean,019,419,029
+Saint Pierre and Miquelon,PM,SPM,666,ISO 3166-2:PM,Americas,Northern America,"",019,021,""
+Saint Vincent and the Grenadines,VC,VCT,670,ISO 3166-2:VC,Americas,Latin America and the Caribbean,Caribbean,019,419,029
+Samoa,WS,WSM,882,ISO 3166-2:WS,Oceania,Polynesia,"",009,061,""
+San Marino,SM,SMR,674,ISO 3166-2:SM,Europe,Southern Europe,"",150,039,""
+Sao Tome and Principe,ST,STP,678,ISO 3166-2:ST,Africa,Sub-Saharan Africa,Middle Africa,002,202,017
+Saudi Arabia,SA,SAU,682,ISO 3166-2:SA,Asia,Western Asia,"",142,145,""
+Senegal,SN,SEN,686,ISO 3166-2:SN,Africa,Sub-Saharan Africa,Western Africa,002,202,011
+Serbia,RS,SRB,688,ISO 3166-2:RS,Europe,Southern Europe,"",150,039,""
+Seychelles,SC,SYC,690,ISO 3166-2:SC,Africa,Sub-Saharan Africa,Eastern Africa,002,202,014
+Sierra Leone,SL,SLE,694,ISO 3166-2:SL,Africa,Sub-Saharan Africa,Western Africa,002,202,011
+Singapore,SG,SGP,702,ISO 3166-2:SG,Asia,South-eastern Asia,"",142,035,""
+Sint Maarten (Dutch part),SX,SXM,534,ISO 3166-2:SX,Americas,Latin America and the Caribbean,Caribbean,019,419,029
+Slovakia,SK,SVK,703,ISO 3166-2:SK,Europe,Eastern Europe,"",150,151,""
+Slovenia,SI,SVN,705,ISO 3166-2:SI,Europe,Southern Europe,"",150,039,""
+Solomon Islands,SB,SLB,090,ISO 3166-2:SB,Oceania,Melanesia,"",009,054,""
+Somalia,SO,SOM,706,ISO 3166-2:SO,Africa,Sub-Saharan Africa,Eastern Africa,002,202,014
+South Africa,ZA,ZAF,710,ISO 3166-2:ZA,Africa,Sub-Saharan Africa,Southern Africa,002,202,018
+South Georgia and the South Sandwich Islands,GS,SGS,239,ISO 3166-2:GS,Americas,Latin America and the Caribbean,South America,019,419,005
+South Sudan,SS,SSD,728,ISO 3166-2:SS,Africa,Sub-Saharan Africa,Eastern Africa,002,202,014
+Spain,ES,ESP,724,ISO 3166-2:ES,Europe,Southern Europe,"",150,039,""
+Sri Lanka,LK,LKA,144,ISO 3166-2:LK,Asia,Southern Asia,"",142,034,""
+Sudan,SD,SDN,729,ISO 3166-2:SD,Africa,Northern Africa,"",002,015,""
+Suriname,SR,SUR,740,ISO 3166-2:SR,Americas,Latin America and the Caribbean,South America,019,419,005
+Svalbard and Jan Mayen,SJ,SJM,744,ISO 3166-2:SJ,Europe,Northern Europe,"",150,154,""
+Sweden,SE,SWE,752,ISO 3166-2:SE,Europe,Northern Europe,"",150,154,""
+Switzerland,CH,CHE,756,ISO 3166-2:CH,Europe,Western Europe,"",150,155,""
+Syrian Arab Republic,SY,SYR,760,ISO 3166-2:SY,Asia,Western Asia,"",142,145,""
+"Taiwan, Province of China",TW,TWN,158,ISO 3166-2:TW,Asia,Eastern Asia,"",142,030,""
+Tajikistan,TJ,TJK,762,ISO 3166-2:TJ,Asia,Central Asia,"",142,143,""
+"Tanzania, United Republic of",TZ,TZA,834,ISO 3166-2:TZ,Africa,Sub-Saharan Africa,Eastern Africa,002,202,014
+Thailand,TH,THA,764,ISO 3166-2:TH,Asia,South-eastern Asia,"",142,035,""
+Timor-Leste,TL,TLS,626,ISO 3166-2:TL,Asia,South-eastern Asia,"",142,035,""
+Togo,TG,TGO,768,ISO 3166-2:TG,Africa,Sub-Saharan Africa,Western Africa,002,202,011
+Tokelau,TK,TKL,772,ISO 3166-2:TK,Oceania,Polynesia,"",009,061,""
+Tonga,TO,TON,776,ISO 3166-2:TO,Oceania,Polynesia,"",009,061,""
+Trinidad and Tobago,TT,TTO,780,ISO 3166-2:TT,Americas,Latin America and the Caribbean,Caribbean,019,419,029
+Tunisia,TN,TUN,788,ISO 3166-2:TN,Africa,Northern Africa,"",002,015,""
+Turkey,TR,TUR,792,ISO 3166-2:TR,Asia,Western Asia,"",142,145,""
+Turkmenistan,TM,TKM,795,ISO 3166-2:TM,Asia,Central Asia,"",142,143,""
+Turks and Caicos Islands,TC,TCA,796,ISO 3166-2:TC,Americas,Latin America and the Caribbean,Caribbean,019,419,029
+Tuvalu,TV,TUV,798,ISO 3166-2:TV,Oceania,Polynesia,"",009,061,""
+Uganda,UG,UGA,800,ISO 3166-2:UG,Africa,Sub-Saharan Africa,Eastern Africa,002,202,014
+Ukraine,UA,UKR,804,ISO 3166-2:UA,Europe,Eastern Europe,"",150,151,""
+United Arab Emirates,AE,ARE,784,ISO 3166-2:AE,Asia,Western Asia,"",142,145,""
+United Kingdom of Great Britain and Northern Ireland,GB,GBR,826,ISO 3166-2:GB,Europe,Northern Europe,"",150,154,""
+United States of America,US,USA,840,ISO 3166-2:US,Americas,Northern America,"",019,021,""
+United States Minor Outlying Islands,UM,UMI,581,ISO 3166-2:UM,Oceania,Micronesia,"",009,057,""
+Uruguay,UY,URY,858,ISO 3166-2:UY,Americas,Latin America and the Caribbean,South America,019,419,005
+Uzbekistan,UZ,UZB,860,ISO 3166-2:UZ,Asia,Central Asia,"",142,143,""
+Vanuatu,VU,VUT,548,ISO 3166-2:VU,Oceania,Melanesia,"",009,054,""
+Venezuela (Bolivarian Republic of),VE,VEN,862,ISO 3166-2:VE,Americas,Latin America and the Caribbean,South America,019,419,005
+Viet Nam,VN,VNM,704,ISO 3166-2:VN,Asia,South-eastern Asia,"",142,035,""
+Virgin Islands (British),VG,VGB,092,ISO 3166-2:VG,Americas,Latin America and the Caribbean,Caribbean,019,419,029
+Virgin Islands (U.S.),VI,VIR,850,ISO 3166-2:VI,Americas,Latin America and the Caribbean,Caribbean,019,419,029
+Wallis and Futuna,WF,WLF,876,ISO 3166-2:WF,Oceania,Polynesia,"",009,061,""
+Western Sahara,EH,ESH,732,ISO 3166-2:EH,Africa,Northern Africa,"",002,015,""
+Yemen,YE,YEM,887,ISO 3166-2:YE,Asia,Western Asia,"",142,145,""
+Zambia,ZM,ZMB,894,ISO 3166-2:ZM,Africa,Sub-Saharan Africa,Eastern Africa,002,202,014
+Zimbabwe,ZW,ZWE,716,ISO 3166-2:ZW,Africa,Sub-Saharan Africa,Eastern Africa,002,202,014

pages/Lodging.py

@@ -0,0 +1,183 @@
+import streamlit as st
+import pandas as pd
+import numpy as np
+import altair as alt
+from vega_datasets import data
+st.set_page_config(layout="wide")
+st.markdown('# Lodging')
+st.markdown("""
+    A look into the amount of hotels/number of beds available in countries before and after the pandemic to determine how limited the lodging 
+    capacities are in a certain country.
+""")
+
+df = pd.read_excel('./data/unwto-tourism-industries-data.xlsx', usecols = 'A,B,E:AE')
+df_coords = pd.read_csv('./data/GoogleDevCountryGeoCoords.csv')
+df.rename(columns={'Basic data and indicators':'Country','Unnamed: 1':'Statistics'}, inplace=True)
+
+alt.data_transformers.disable_max_rows()
+
+#%%
+for i in range(0, len(df)-1, 8):
+    for j in range(1,8):
+        df.loc[i+j,'Country'] = df.loc[i,'Country']
+
+df['Country'] = df['Country'].str.title()
+df['Country_key'] = df['Country'].str.lower()
+df_coords['Country_key2'] = df_coords['name'].str.lower()
+
+df_merged = df.merge(right = df_coords, how='left', left_on = 'Country_key', right_on = 'Country_key2')
+df_merged.tail(20)
+
+#%%
+df_merged['Country'] = df_merged['name'] #Change country names to appropriate format
+df_merged.drop(columns=['Country_key','Country_key2','country','name'], inplace=True)
+
+df_bed_places_coords = df_merged[df_merged['Statistics'] == 'Number of bed-places'].copy()
+df_bed_places = df_merged[df_merged['Statistics'] == 'Number of bed-places'].copy()
+
+df_bed_places.drop(columns=['latitude','longitude'], inplace=True)
+df_bed_places.drop(columns='Statistics', inplace=True)
+df_bed_places.dropna(inplace=True)
+df_bed_places = pd.melt(df_bed_places.loc[:,:], id_vars='Country', var_name='Year',value_name='Number of bed-places')
+# df_bed_places['Number of bed-places'] = df_bed_places['Number of bed-places'].replace('..', '0')
+
+df_bed_places_coords = df_merged[df_merged['Statistics'] == 'Number of bed-places']
+df_bed_places_coords.drop(columns='Statistics', inplace=True)
+df_bed_places_coords = pd.melt(df_bed_places_coords.loc[:,:], id_vars=['Country','latitude','longitude'], var_name='Year',value_name='Number of bed-places')
+df_bed_places_coords.dropna(inplace=True)
+df_bed_places_coords['dataAvailable'] = (df_bed_places_coords['Number of bed-places'] != '..')
+
+#%%
+
+countries = list(df_bed_places['Country'].unique())
+
+country_checkbox = alt.binding_select(options=countries)
+country_selector = alt.selection_single(
+    fields=['Country'],
+    init = {'Country':countries[1]},
+    bind = country_checkbox,
+    name='Country'
+)
+
+mouseSelection = alt.selection_single(encodings = ['x'], nearest=True, on='mouseover', empty='none')
+opacityCondition = alt.condition(mouseSelection, alt.value(1), alt.value(0))
+
+click_selector = alt.selection_multi(fields=['Country'])
+# click_selector = alt.selection_interval()
+
+bedPlaceChart = alt.Chart(df_bed_places).mark_line().encode(
+    x = alt.X('Year:O'),
+    y = alt.Y('Number of bed-places:Q'),
+    color = alt.Color('Country:N'),
+).transform_filter(
+    country_selector | click_selector
+).add_selection(
+    country_selector,
+    click_selector
+).properties(
+    width=600,
+    height=400
+)
+
+interactionDots = alt.Chart(df_bed_places).mark_point(size=90).encode(
+    x = alt.X('Year:O'),
+    y = alt.Y('Number of bed-places:Q'),
+    color = alt.Color('Country:N'),
+    opacity = opacityCondition
+).transform_filter(
+    country_selector | click_selector
+)
+
+verticalLine = alt.Chart(df_bed_places).mark_rule(size=2, color='black', strokeDash=[15,15]).encode(
+    x = alt.X('Year:O'),
+    y = alt.Y('Number of bed-places:Q'),
+    opacity=opacityCondition
+).transform_filter(
+    country_selector | click_selector
+).add_selection(
+    mouseSelection
+)
+
+textLabels = interactionDots.mark_text(
+    align='left',
+    fontSize=14,
+    dx = 7, 
+).encode(
+    alt.Text('Number of bed-places:Q', formatType='number'),
+    opacity = opacityCondition
+)
+
+countries_url = data.world_110m.url
+countries = alt.topo_feature(countries_url, 'countries')
+
+slider = alt.binding_range(min=1995, max=2021, step=1, name='Year: ')
+year_selector = alt.selection_single(
+    name='year selector',
+    fields=['Year'],
+    bind=slider,
+    init={'Year': 2021}
+)
+
+
+
+worldMap = alt.Chart(countries).mark_geoshape(
+    fill = '#F2F3F4',
+    stroke = 'white',
+    strokeWidth = 0.5
+).properties(
+    width = 900,
+    height = 500,
+).project(
+    'naturalEarth1'
+)
+
+circles = alt.Chart(df_bed_places_coords).mark_circle(size=100).encode(
+    latitude='latitude:Q',
+    longitude='longitude:Q',
+    tooltip=['Country:N','Year:O','Number of bed-places:Q'],
+    color='Number of bed-places:Q',
+    opacity=alt.condition(click_selector, alt.value(1), alt.value(0.4)),
+    size=alt.condition(click_selector, alt.value(200), alt.value(100))
+).transform_filter(
+    year_selector
+).add_selection(
+    click_selector,
+    year_selector
+)
+
+circlesNoData = alt.Chart(df_bed_places_coords).mark_circle(size=100).encode(
+    latitude='latitude:Q',
+    longitude='longitude:Q',
+    tooltip=['Country:N','Year:O','Number of bed-places:Q'],
+    color= alt.value('lightgray'),
+    opacity=alt.condition(click_selector, alt.value(1), alt.value(0.4)),
+    size=alt.condition(click_selector, alt.value(200), alt.value(150))
+).transform_filter(
+    year_selector
+).transform_filter(
+    alt.datum.dataAvailable == False
+)
+
+st.altair_chart((worldMap + circles + circlesNoData) & (bedPlaceChart + interactionDots + verticalLine + textLabels), use_container_width=True)
+
+data = pd.read_csv('./data/hotel_booking_2019_2020.csv')
+
+# %%
+data_transform = data[['reservation_status_date','reservation_status']]
+data_transform['reservation_status'] = (data['reservation_status'] == 'Canceled').astype(int)
+data_transform['reservation_status_date'] = pd.to_datetime(data_transform['reservation_status_date'])
+
+
+# %%
+data_final = data_transform.groupby('reservation_status_date').count().reset_index()
+
+# %%
+line_chart = alt.Chart(data_final).mark_line().encode(
+    x=alt.X('reservation_status_date:T',title='Date'),
+    y=alt.Y('reservation_status:Q',title='Bookings'),
+)
+st.markdown("""
+
+    A look into the amount of hotel booking across time to learn about the trends of hotel business trends.
+""")
+line_chart

pages/Plane Travel.py

@@ -0,0 +1,192 @@
+import pandas as pd
+import altair as alt
+import matplotlib.pyplot as plt
+import geopandas as gpd
+from vega_datasets import data
+import streamlit as st
+import json
+import folium
+from streamlit_folium import folium_static
+st.set_page_config(layout="wide")
+st.markdown('# Plane Travel')
+
+tsa_df = pd.read_excel('./data/tsa.xlsx')
+tsa_df_date = tsa_df.set_index('Date')
+tsa_df_year = tsa_df_date.stack().reset_index().rename(columns={'level_1':'year'})
+tsa_df_stack = tsa_df_year.join(tsa_df_date)
+tsa_df_stack = tsa_df_stack[['Date', 'year', 0]]
+tsa_df_stack = tsa_df_stack.rename(columns={0:'data'})
+
+line = alt.Chart(tsa_df_stack).mark_line().encode(
+        x = alt.X('Date'),
+        y = alt.Y('data', title = 'Passenger volumes'),
+        color = 'year:N',
+        strokeWidth = alt.value(1)
+)
+
+# 添加交互式选择器
+selector = alt.selection_single(
+    on='mouseover',
+    nearest=True,
+    empty='none',
+    fields=['Date'],
+    init={'Date': '2022-01-01'}
+)
+
+# 创建一个点图层，用于显示选择器位置的信息
+points = line.mark_point().encode(
+    opacity=alt.condition(selector, alt.value(1), alt.value(0))
+).add_selection(selector)
+
+# 创建一个文本图层，用于显示选择器位置对应的y值
+text = line.mark_text(align='left', dx=5, dy=-5).encode(
+    text=alt.condition(selector, 'data:Q', alt.value(' '))
+)
+
+# 添加一条垂直线
+vline = alt.Chart(tsa_df_stack).mark_rule(color='red').encode(
+    x='Date',
+    size=alt.value(0.1)
+).transform_filter(
+    selector
+)
+
+# 将图表和交互式元素组合在一起
+chart = alt.layer(line, points, text, vline)
+
+# 显示图表
+chart = chart.properties(
+    width=800, 
+    title='The amount of passengers passing through TSA checkpoints across recent years'
+)
+
+st.altair_chart(chart, use_container_width=False)
+
+st.markdown("""
+    A look into the most popular destinations by the amount of passengers on flights to specific destinations post-COVID
+""")
+
+df_2022 = pd.read_excel('./data/US-Outbound-to-World-Regions_2022.xlsx')
+df_2022.columns = df_2022.iloc[2]
+df_2022_select = df_2022.iloc[3:10].set_index('Regions')
+df_2022_select.columns.name = None
+df_2022_select = df_2022_select.iloc[:, : 12]
+df_2022_final = df_2022_select.reset_index()
+df_2022_stack = df_2022_final.iloc[:, 1:12].stack().reset_index().set_index('level_0').join(df_2022_final).iloc[:, 0:3].rename(columns = {'level_1':'Month', 0:'Data'})
+bar_2022 = alt.Chart(df_2022_stack).mark_bar().encode(
+        x = alt.X('Month'),
+        y = alt.Y('Data'),
+        color = 'Regions:N',
+)
+bar_2022 = bar_2022.properties(title='2022 US citizens travel to international regions')
+
+df_2021 = pd.read_excel('./data/US-Outbound-to-World-Regions_2021.xlsx')
+df_2021.columns = df_2021.iloc[2]
+df_2021_select = df_2021.iloc[3:10].set_index('Regions')
+df_2021_select.columns.name = None
+df_2021_select = df_2021_select.iloc[:, : 12]
+df_2021_final = df_2021_select.reset_index()
+df_2021_stack = df_2021_final.iloc[:, 1:12].stack().reset_index().set_index('level_0').join(df_2021_final).iloc[:, 0:3].rename(columns = {'level_1':'Month', 0:'Data'})
+# 创建一个选择器，用于捕获用户在2022年数据的月份柱状图上的鼠标悬停操作
+month_selector_2022 = alt.selection_single(fields=['Month'], empty='none', on='mouseover')
+
+# 创建一个选择器，用于捕获用户在2021年数据的月份柱状图上的鼠标悬停操作
+month_selector_2021 = alt.selection_single(fields=['Month'], empty='none', on='mouseover')
+
+# Create the bar chart for 2022 data
+bar_2022 = alt.Chart(df_2022_stack).mark_bar().encode(
+        x = alt.X('Month'),
+        y = alt.Y('Data'),
+        color = 'Regions:N',
+).properties(title='2022 US citizens travel to international regions', width=300).add_selection(
+    month_selector_2022
+)
+
+pie_2022 = alt.Chart(df_2022_stack).mark_arc(innerRadius=50, outerRadius=100).encode(
+    theta='sum(Data)',
+    color='Regions:N',
+    tooltip='Regions'
+).transform_filter(
+    month_selector_2022
+).properties(width=300)
+
+# Create the bar chart for 2021 data
+bar_2021 = alt.Chart(df_2021_stack).mark_bar().encode(
+        x = alt.X('Month'),
+        y = alt.Y('Data'),
+        color = 'Regions:N',
+).properties(title='2021 US citizens travel to international regions', width=300).add_selection(
+    month_selector_2021
+)
+
+pie_2021 = alt.Chart(df_2021_stack).mark_arc(innerRadius=50, outerRadius=100).encode(
+    theta='sum(Data)',
+    color='Regions:N',
+    tooltip='Regions'
+).transform_filter(
+    month_selector_2021
+).properties(width=300)
+
+# Combine the charts
+combined_charts = ((bar_2022 & pie_2022) | (bar_2021 & pie_2021)).resolve_scale(y='shared')
+
+# Display the combined charts
+combined_charts
+
+
+alt.data_transformers.disable_max_rows()
+
+# Load data
+destination_df = pd.read_csv('./data/air-passengers-carried.csv')
+destination_df['Entity'] = destination_df['Entity'].astype(str)
+destination_df['Code'] = destination_df['Code'].astype(str)
+
+# Load world data from GeoPandas
+world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))
+
+# Add a slider to select the year
+selected_year = st.slider("Select Year", min_value=2018, max_value=2020, value=2018, step=1)
+
+# Filter the data based on the selected year
+destination_df_year = destination_df[destination_df['Year'] == selected_year]
+
+# Merge the data
+merged_data = world.set_index('iso_a3').join(destination_df_year.set_index('Code')).reset_index()
+
+# Convert the merged data to a GeoJSON object
+merged_data_geojson = json.loads(merged_data.to_json())
+
+# Create a folium map
+m = folium.Map(location=[0, 0], zoom_start=2)
+
+# Define a function to determine the color based on the number of passengers carried
+def get_color(feature):
+    passengers = feature['properties']['Air transport, passengers carried']
+    if passengers is None:
+        return '#FFFFFF'
+    elif passengers < 1e4:
+        return '#fee0b6'
+    elif passengers < 1e5:
+        return '#f1a340'
+    elif passengers < 1e6:
+        return '#d73027'
+    else:
+        return '#a50026'
+
+# Add the choropleth layer to the folium map
+folium.GeoJson(
+    merged_data_geojson,
+    style_function=lambda feature: {
+        'fillColor': get_color(feature),
+        'color': 'black',
+        'weight': 1,
+        'fillOpacity': 0.7,
+    },
+    tooltip=folium.features.GeoJsonTooltip(fields=['Entity', 'Air transport, passengers carried'],
+                                           aliases=['Country', 'Passengers Carried'])
+).add_to(m)
+st.markdown("""
+    A look into the most popular destinations by the amount of passengers on flights to specific destinations pre and during COVID
+""")
+# Display the folium map in Streamlit
+folium_static(m)