diff --git a/homeWork.py b/homeWork.py
new file mode 100644
index 0000000..4aad709
--- /dev/null
+++ b/homeWork.py
@@ -0,0 +1,57 @@
+import pandas as pd
+import sqlite3 as sql
+import re
+def clean(file):
+    return re.sub(r'\<[^>]*\>', '', str(file))
+connection = sql.connect('homeworks.sqlite')
+cursor = connection.cursor()
+cursor.execute('drop table if exists works')
+cursor.execute('create table works ('
+               'ID INTEGER PRIMARY KEY AUTOINCREMENT,'
+               'salary INTEGER,'
+               'educationType TEXT,'
+               'jobTitle TEXT,'
+               'qualification TEXT,'
+               'gender TEXT,'
+               'dateModify TEXT,'
+               'skills TEXT,'
+               'otherInfo TEXT)')
+connection.commit()
+df = pd.read_csv('works.csv')
+df.to_sql("works", connection, if_exists='append', index=False)
+
+df['skills'] = df['skills'].apply(clean)
+df['otherInfo'] = df['otherInfo'].apply(clean)
+connection.commit()
+
+cursor.execute('drop table if exists genders')
+cursor.execute('create table genders(id INTEGER PRIMARY KEY AUTOINCREMENT, gender_val TEXT)')
+connection.commit()
+
+cursor.execute('INSERT INTO genders(gender_val) SELECT DISTINCT gender FROM works WHERE gender IS NOT NULL')
+connection.commit()
+
+cursor.execute('ALTER TABLE works ADD COLUMN gender_id INTEGER REFERENCES genders(id)')
+connection.commit()
+
+cursor.execute('UPDATE works SET gender_id = (SELECT id FROM genders WHERE gender_val = works.gender)')
+connection.commit()
+
+cursor.execute('ALTER TABLE works DROP COLUMN gender')
+connection.commit()
+
+cursor.execute('drop table if exists education')
+cursor.execute('create table education(id INTEGER PRIMARY KEY AUTOINCREMENT, edu_val TEXT)')
+connection.commit()
+
+cursor.execute('INSERT INTO education(edu_val) SELECT DISTINCT educationType FROM works WHERE educationType IS NOT NULL')
+connection.commit()
+
+cursor.execute('ALTER TABLE works ADD COLUMN educationType_id INTEGER REFERENCES education(id)')
+connection.commit()
+
+cursor.execute('UPDATE works SET educationType_id = (SELECT id FROM education WHERE edu_val = works.educationType)')
+connection.commit()
+
+cursor.execute('ALTER TABLE works DROP COLUMN educationType')
+connection.commit()
\ No newline at end of file
diff --git a/homeworks.sqlite b/homeworks.sqlite
new file mode 100644
index 0000000..0b4c85e
Binary files /dev/null and b/homeworks.sqlite differ
diff --git a/main.py b/main.py
new file mode 100644
index 0000000..006f969
--- /dev/null
+++ b/main.py
@@ -0,0 +1,75 @@
+import math
+import numpy as np
+import sqlite3
+import matplotlib.pyplot as plt
+import os.path
+import pandas as pd
+
+connection = sqlite3.connect("task.sqlite")
+cursor = connection.cursor()
+cursor.execute("drop table if exists works")
+cursor.execute("create table works("
+               "ID INTEGER PRIMARY KEY AUTOINCREMENT,"
+               "salary INTEGER,"
+               "educationType TEXT,"
+               "jobTitle TEXT,"
+               "qualification TEXT,"
+               "gender TEXT,"
+               "dateModify TEXT,"
+               "skills TEXT,"
+               "otherInfo TEXT"
+               ");")
+connection.commit()
+data = pd.read_csv('works.csv')
+data.to_sql('works', connection, if_exists="append", index=None)
+connection.commit()
+cursor.execute("select * from works limit 5")
+print(cursor.fetchall())
+print(os.path.getsize("task.sqlite") / 1024 / 1024, "Mб")
+cursor.execute("create index salary_index on works(salary);")
+connection.commit()
+cursor.execute("select count(*) from works")
+cursor.execute("select count(*) from works where gender='Мужской'")
+cursor.execute("select count(*) from works where gender='Женский'")
+cursor.execute("select gender,count(*) from works group by gender")
+print(cursor.fetchall())
+cursor.execute('select count(*) from works where skills not null')
+print(cursor.fetchall())
+cursor.execute('select skills from works where skills not null')
+print(cursor.fetchall())
+cursor.execute("select salary from works where skills like '%Python%'")
+print(cursor.fetchall())
+print(os.path.getsize("task.sqlite") / 1024 / 1024, "Mб")
+cursor.execute("select salary from works where gender = 'Мужской'")
+mens_salary = [row[0] for row in cursor.fetchall()]
+cursor.execute("select salary from works where gender = 'Женский'")
+women_salary = [row[0] for row in cursor.fetchall()]
+percintile = np.linspace(0.1, 1, 10)
+q = np.quantile(mens_salary, percintile)
+q1 = np.quantile(women_salary, percintile)
+print(list(zip(percintile, q)))
+print(list(zip(percintile, q1)))
+plt.plot(percintile, q, color="b")
+plt.plot(percintile, q1, color="r")
+plt.xlabel("Перцентили")
+plt.ylabel("Зарплата женщин")
+plt.show()
+params = [("Мужской", "Высшее"), ("Мужской", "Незаконченное высшее"), ("Мужской", "Среднее"),
+          ("Мужской", "Среднее профессиональное"), ("Женский", "Высшее"), ("Женский", "Незаконченное высшее"),
+          ("Женский", "Среднее"), ("Женский", "Среднее профессиональное")]
+for p in params:
+    sql_query = f"SELECT salary FROM works WHERE gender = '{p[0]}' and educationType = '{p[1]}'"
+    salary = [row[0] for row in cursor.execute(sql_query).fetchall()]
+    plt.hist(salary, bins=100)
+    plt.title(f"Зарплата {p[0]} с образованием {p[1]}")
+    plt.show()
+l = pow(10, -10)
+x = np.linspace(0.0 * l, 1 * l, 100)
+y = []
+fig, ax = plt.subplots()
+for i in x:
+    temp_x = i
+    temp_y = 2.0 / l * math.pow(np.sin(3.0 * 3.1415 * i / l), 2)
+    y.append(temp_y)
+plt.plot(x, y, scalex=True, scaley=True)
+plt.show()
\ No newline at end of file
diff --git a/task.sqlite b/task.sqlite
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