diff --git a/geocache.json b/geocache.json
new file mode 100644
index 0000000..10cdff5
--- /dev/null
+++ b/geocache.json
@@ -0,0 +1,1358 @@
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+    7.0158171
+  ],
+  "\u041a\u0430\u043b\u0438\u043d\u0438\u043d\u0433\u0440\u0430\u0434": [
+    54.710128,
+    20.5105838
+  ],
+  "\u0412\u043e\u043b\u0433\u043e\u0434\u043e\u043d\u0441\u043a": [
+    47.5412272,
+    42.22788957160185
+  ],
+  "\u041c\u0435\u0436\u0434\u0443\u0440\u0435\u0447\u0435\u043d\u0441\u043a (\u043f\u043e\u0441\u0435\u043b\u043e\u043a)": [
+    53.2584965,
+    49.1590363
+  ],
+  "\u0421\u0430\u0440\u0430\u043f\u0443\u043b": [
+    56.4811552,
+    53.782692709252615
+  ],
+  "\u0411\u043e\u043b\u044c\u0448\u043e\u0439 \u0427\u0438\u0440\u043a\u043b\u0435\u0439": [
+    53.1454836,
+    47.0144756
+  ],
+  "\u042e\u043b\u043e\u0432\u043e": [
+    53.9676299,
+    46.4868784
+  ],
+  "\u041a\u0430\u0440\u043b\u0438\u043d\u0441\u043a\u043e\u0435": [
+    53.994359,
+    47.767279
+  ],
+  "\u041a\u044b\u0448\u0442\u044b\u043c": [
+    55.7099215,
+    60.5511275
+  ],
+  "\u0421\u044b\u043a\u0442\u044b\u0432\u043a\u0430\u0440": [
+    61.6685237,
+    50.8352024
+  ],
+  "\u0411\u043e\u0440\u0438\u0441\u043b\u0430\u0432": [
+    49.2824381,
+    23.4138765
+  ],
+  "\u0420\u044f\u0437\u0430\u043d\u043e\u0432\u043e": [
+    55.4911577,
+    37.5106717
+  ],
+  "\u0421\u0443\u0445\u0430\u044f \u0422\u0435\u0440\u0435\u0448\u043a\u0430": [
+    52.9759033,
+    47.4864101
+  ],
+  "\u0422\u0430\u043c\u0431\u043e\u0432": [
+    52.731118499999994,
+    41.434199146086904
+  ],
+  "\u0412\u0435\u0440\u0445\u043d\u044f\u044f \u0422\u0435\u0440\u0435\u0448\u043a\u0430": [
+    52.897615,
+    47.3785024
+  ],
+  "\u0411\u0430\u043a\u0443": [
+    40.3755885,
+    49.8328009
+  ],
+  "\u0420\u0443\u0441\u0441\u043a\u0438\u0439 \u041c\u0435\u043b\u0435\u043a\u0435\u0441\u0441": [
+    54.307228,
+    49.5303104
+  ],
+  "Milano": [
+    45.4641943,
+    9.1896346
+  ],
+  "\u0412\u043e\u0440\u043e\u043d\u0435\u0436": [
+    51.6605982,
+    39.2005858
+  ],
+  "\u0421\u0440\u0435\u0434\u043d\u0438\u0439 \u0421\u0430\u043d\u0442\u0438\u043c\u0438\u0440": [
+    54.27449,
+    50.0919926
+  ],
+  "\u041a\u0438\u0440\u0436\u0430\u0447": [
+    56.1592229,
+    38.8721255
+  ],
+  "\u041a\u043e\u043c\u0441\u043e\u043c\u043e\u043b\u044c\u0441\u043a\u043e\u0435": [
+    50.432305299999996,
+    60.499133387206996
+  ],
+  "\u041a\u0440\u043e\u043f\u043e\u0442\u043a\u0438\u043d": [
+    45.4344413,
+    40.5750274
+  ],
+  "\u0422\u0430\u0442\u0430\u0440\u0441\u0442\u0430\u043d": [
+    55.448217,
+    50.4763591
+  ],
+  "\u0428\u044b\u043c\u043a\u0435\u043d\u0442": [
+    42.3146962,
+    69.5883282
+  ],
+  "\u0410\u0440\u043c\u0430\u0432\u0438\u0440": [
+    44.9993585,
+    41.1294061
+  ],
+  "\u0411\u043e\u043b\u0433\u0430\u0440": [
+    42.6073975,
+    25.4856617
+  ],
+  "\u0410\u043a\u0442\u0430\u0443": [
+    43.85891105,
+    51.09314386990394
+  ],
+  "\u0413\u0440\u043e\u0437\u043d\u044b\u0439": [
+    43.3197031,
+    45.6934308
+  ],
+  "\u0417\u0430\u0440\u0435\u0447\u043d\u043e\u0435": [
+    54.573611,
+    20.428056
+  ],
+  "\u0411\u0443\u0434\u0435\u043d\u043d\u043e\u0432\u0441\u043a": [
+    44.780533,
+    44.163357
+  ],
+  "\u0413\u0435\u043b\u0435\u043d\u0434\u0436\u0438\u043a": [
+    44.5609447,
+    38.0766832
+  ],
+  "\u041a\u0440\u0435\u0441\u0442\u043e\u0432\u043e-\u0413\u043e\u0440\u043e\u0434\u0438\u0449\u0435": [
+    54.1850567,
+    48.6267172
+  ],
+  "\u0418\u0440\u0431\u0438\u0442": [
+    57.674042,
+    63.063778
+  ],
+  "\u0410\u0448\u0434\u043e\u0434": [
+    31.7977314,
+    34.6529922
+  ],
+  "\u041a\u043d\u044f\u0436\u0443\u0445\u0430": [
+    54.5623982,
+    46.5628442
+  ],
+  "\u0412\u0430\u043b\u044c\u0434\u0438\u0432\u0430\u0442\u0441\u043a\u043e\u0435": [
+    54.3498598,
+    46.9939139
+  ],
+  "\u0411\u0438\u0442\u043e\u043b\u0430": [
+    41.0316005,
+    21.3302511
+  ],
+  "Oxford": [
+    51.7520131,
+    -1.2578499
+  ],
+  "\u041d\u0430\u0433\u043e\u0440\u043d\u044b\u0439": [
+    55.670368,
+    37.61636
+  ],
+  "\u0422\u0435\u0442\u044e\u0448\u0441\u043a\u043e\u0435": [
+    54.3125932,
+    48.0115079
+  ],
+  "\u0412\u0430\u043b\u0433\u0443\u0441\u0441\u044b": [
+    54.0607493,
+    46.1960842
+  ],
+  "\u0421\u0442\u0430\u0440\u044b\u0435 \u0410\u043b\u0433\u0430\u0448\u0438": [
+    54.662332,
+    47.73995
+  ],
+  "\u0413\u044f\u043d\u0434\u0436\u0430": [
+    40.6782547,
+    46.35732298444202
+  ],
+  "\u0411\u043e\u043b\u044c\u0448\u0438\u0435 \u041a\u043b\u044e\u0447\u0438\u0449\u0438 (\u0441\u0435\u043b\u043e)": [
+    54.1373946,
+    48.2375198
+  ],
+  "\u0421\u0435\u0432\u0430\u0441\u0442\u043e\u043f\u043e\u043b\u044c": [
+    44.5655503,
+    33.45959860374677
+  ],
+  "Gab\u00fa": [
+    12.11703505,
+    -14.176250577969586
+  ],
+  "\u041a\u043b\u0430\u0434\u0431\u0438\u0449\u0435": [
+    57.2968749,
+    47.7681791
+  ],
+  "\u041d\u0438\u043a\u043e\u043b\u0430\u0435\u0432\u043a\u0430": [
+    44.9688031,
+    33.6071029
+  ],
+  "\u041a\u043e\u043a\u0430\u043d\u0434": [
+    40.5408463,
+    70.9473889
+  ],
+  "\u0422\u0443\u0440\u043a\u043c\u0435\u043d\u0430\u0431\u0430\u0434": [
+    39.0733839,
+    63.5831564
+  ],
+  "Sfax": [
+    34.723238699999996,
+    10.335847425638779
+  ],
+  "\u0411\u0435\u043a\u0435\u0442\u043e\u0432\u043a\u0430": [
+    52.8674308,
+    44.5360849
+  ],
+  "\u0411\u043e\u043b\u044c\u0448\u0430\u044f \u041b\u0435\u0432\u0448\u0438\u043d\u043a\u0430": [
+    53.7761093,
+    50.4996869
+  ],
+  "Medell\u00edn": [
+    6.2443382,
+    -75.573553
+  ],
+  "\u0411\u0430\u043b\u0430\u043a\u043e\u0432\u043e": [
+    52.01812,
+    47.819141
+  ],
+  "\u041a\u0430\u043d\u0438\u0431\u0430\u0434\u0430\u043c": [
+    40.2908394,
+    70.4254538
+  ],
+  "\u0411\u0435\u0437\u0435\u043d\u0447\u0443\u043a": [
+    52.985322,
+    49.4322968
+  ],
+  "\u0423\u043b\u044c\u044f\u043d\u043e\u0432\u0441\u043a\u0438\u0439": [
+    53.3689468,
+    48.9257301
+  ],
+  "\u041e\u043f\u0442\u0438\u043d\u0430 \u041f\u0443\u0441\u0442\u044b\u043d\u044c": [
+    54.050759,
+    35.8323725
+  ],
+  "\u0413\u0440\u043e\u0434\u043d\u043e": [
+    53.6834599,
+    23.8342648
+  ],
+  "Lublin": [
+    51.250559,
+    22.5701022
+  ],
+  "\u0418\u0436\u0435\u0432\u0441\u043a": [
+    56.86051745,
+    53.197730742455306
+  ],
+  "\u041d\u043e\u0433\u0438\u043d\u0441\u043a": [
+    55.8553511,
+    38.4411898
+  ],
+  "\u0411\u0435\u0440\u0434\u0441\u043a": [
+    54.75795,
+    83.1068095
+  ],
+  "Vaasa": [
+    63.081820949999994,
+    21.479812522296804
+  ],
+  "\u041f\u043e\u043a\u0440\u043e\u0432\u0441\u043a\u043e\u0435": [
+    58.2049201,
+    48.1972844
+  ],
+  "\u0410\u0434\u043b\u0435\u0440\u043e\u0432\u043a\u0430": [
+    55.0255097,
+    36.3367726
+  ],
+  "\u0411\u043e\u0433\u0434\u0430\u0448\u043a\u0438\u043d\u043e": [
+    54.6132144,
+    47.675192
+  ],
+  "\u0421\u0442\u0430\u0440\u043e\u044e\u0440\u044c\u0435\u0432\u043e": [
+    53.3227111,
+    40.6992188
+  ],
+  "\u0411\u0435\u043b\u043e\u0435 \u041e\u0437\u0435\u0440\u043e": [
+    60.18058895,
+    37.62384824186701
+  ],
+  "Saint Petersburg": [
+    27.7703796,
+    -82.6695085
+  ]
+}
\ No newline at end of file
diff --git a/main.py b/main.py
index 90fd6a7..e06bc69 100644
--- a/main.py
+++ b/main.py
@@ -1,12 +1,171 @@
 #!/usr/bin/env python3
+import json
 import os
 import sys
+from datetime import date, datetime
 
+import numpy as np
 import pandas as pd
+from geopy.extra.rate_limiter import RateLimiter
+from geopy.geocoders import Nominatim
 
+EMPTY_AGE = 0
+UNIVERSITY_AGE = 21
+SCHOOL_BEGIN_AGE = 7
+SCHOOL_GRADUATED_AGE = 17
 
-def __main(json_file):
+geolocator = Nominatim(user_agent="MyApp")
+geocode = RateLimiter(geolocator.geocode, min_delay_seconds=1)
+
+geo_cache = {}
+
+
+def is_empty_str(value):
+    if value is None:
+        return True
+    return len(str(value).strip()) == 0
+
+
+def is_empty_number(value):
+    if is_empty_str(value):
+        return True
+    str_val = str(value)
+    if str_val.startswith('-'):
+        str_val = str_val.replace('-', '', 1)
+    return not str_val.isnumeric()
+
+
+def is_empty_collection(collection):
+    if is_empty_str(collection):
+        return True
+    if not isinstance(collection, list):
+        return True
+    return len(collection) == 0
+
+
+def get_age(date_str):
+    if is_empty_str(date_str):
+        return EMPTY_AGE
+    today = date.today()
+    birthdate = datetime.strptime(date_str, '%d.%m.%Y')
+    age = today.year - birthdate.year - ((today.month, today.day) < (birthdate.month, birthdate.day))
+    return age
+
+
+def get_years(year1, year2):
+    if year1 >= year2:
+        return year1 - year2
+    if year2 >= year1:
+        return year2 - year1
+
+
+def get_age_from_education(education, value, additional_value):
+    if is_empty_collection(education):
+        return EMPTY_AGE
+    for item in education:
+        graduation = item[value]
+        if is_empty_number(graduation):
+            return EMPTY_AGE
+        return get_years(graduation, date.today().year) + additional_value
+
+
+def prepare_dataset_age(df):
+    df['age'] = df.loc[:, 'bdate'].apply(get_age)
+
+    university_mask = (df['age'] == EMPTY_AGE) & (df['universities'].str.len() > 0)
+    df.loc[university_mask, 'age'] = df.loc[university_mask, 'universities'] \
+        .apply(lambda val: get_age_from_education(val, 'graduation', UNIVERSITY_AGE))
+
+    school_mask_1 = (df['age'] == EMPTY_AGE) & (df['schools'].str.len() > 0)
+    df.loc[school_mask_1, 'age'] = df.loc[school_mask_1, 'schools'] \
+        .apply(lambda val: get_age_from_education(val, 'year_graduated', SCHOOL_GRADUATED_AGE))
+
+    school_mask_2 = (df['age'] == EMPTY_AGE) & (df['schools'].str.len() > 0)
+    df.loc[school_mask_2, 'age'] = df.loc[school_mask_2, 'schools'] \
+        .apply(lambda val: get_age_from_education(val, 'year_from', SCHOOL_BEGIN_AGE))
+
+    return df
+
+
+def prepare_dataset_status(df):
+    is_university_mask = ((df['age'] >= UNIVERSITY_AGE) | (df['age'] == EMPTY_AGE)) & \
+                         ((df['universities'].str.len() > 0) | (df['occupation_type'] == 'university'))
+    df['is_university'] = np.where(is_university_mask, True, False)
+
+    is_work_mask = ((df['age'] > SCHOOL_GRADUATED_AGE) | (df['age'] == EMPTY_AGE)) & \
+                   ((df['is_university']) | (df['occupation_type'] == 'work')) | \
+                   (df['age'] > UNIVERSITY_AGE)
+    df['is_work'] = np.where(is_work_mask, True, False)
+
+    is_student_mask = ((df['occupation_type'] == 'university') &
+                       ((df['age'] >= SCHOOL_GRADUATED_AGE) & (df['age'] <= UNIVERSITY_AGE)))
+    df['is_student'] = np.where(is_student_mask, True, False)
+
+    is_schoolboy_mask = ((df['age'] < SCHOOL_GRADUATED_AGE) & (df['age'] != EMPTY_AGE)) | \
+                        ((df['age'] == EMPTY_AGE) & (df['occupation_type'] == 'school'))
+    df['is_schoolboy'] = np.where(is_schoolboy_mask, True, False)
+
+    return df
+
+
+def load_geo_cache(json_file):
+    with open(json_file, 'r') as rf:
+        geo_cache.update(json.load(rf))
+
+
+def save_geo_cache(json_file):
+    with open(json_file, 'w') as wf:
+        json.dump(geo_cache, wf)
+    print('Geocache saved')
+
+
+def update_geo_cache(cities, json_file):
+    is_changed = False
+    for city in cities:
+        if is_empty_str(city):
+            continue
+        result = geo_cache.get(city)
+        if result is not None:
+            continue
+        print(f'{len(geo_cache.keys())}/{len(cities)} - Try to load geocode for {city}')
+        location = geocode(city)
+        result = (location.latitude, location.longitude)
+        geo_cache[city] = result
+        is_changed = True
+        if len(geo_cache.keys()) % 50 == 0:
+            save_geo_cache(json_file)
+
+    if is_changed:
+        save_geo_cache(json_file)
+
+
+def prepare_dataset_location(df):
+    json_file = 'geocache.json'
+
+    load_geo_cache(json_file)
+
+    update_geo_cache(df['city'].unique().tolist(), json_file)
+
+    df['location'] = df['city'] \
+        .apply(lambda val: '' if is_empty_str(val) else geo_cache[val])
+
+    return df
+
+
+def prepare_dataset(json_file):
     df = pd.read_json(json_file)
+
+    df = prepare_dataset_age(df)
+
+    df = prepare_dataset_status(df)
+
+    df = prepare_dataset_location(df)
+
+    return df
+
+
+def __main(json_file):
+    df = prepare_dataset(json_file)
     print('done')
 
 
diff --git a/requirements.txt b/requirements.txt
index 27be6d6..63d178f 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1 +1,2 @@
-pandas==2.0.1
\ No newline at end of file
+pandas==2.0.1
+geopy==2.3.0
\ No newline at end of file