degtyarev_mikhail_lab_4_is_ready

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 # Лабораторная 3
 ## Вариант 9
 ## Задание
 Использовать метод кластеризации t-SNE,самостоятельно  сформулировав  задачу. Интерпретировать результаты и оценить, насколько хорошо он подходит для решения сформулированной вамизадачи.
 Задача:
 - Можно использовать кластеризацию для группировки компаний на основе их местоположения (company_location) и размера (company_size). Это поможет выделить группы компаний с похожими характеристиками.
 ## Описание Программы
 Программа выполняет кластеризацию компаний на основе их местоположения (company_location) и размера (company_size) с использованием методов t-SNE и KMeans. 
 ### Используемые библиотеки
 `pandas:`
 Используется для загрузки данных из CSV-файла и работы с ними в виде датафрейма (pd.read_csv, pd.DataFrame).
 `LabelEncoder (из scikit-learn):`
 Применяется для преобразования категориальных переменных (company_location и company_size) в числовые значения (le.fit_transform).
 `TSNE (из scikit-learn):`
 Используется для выполнения уменьшения размерности данных с помощью метода t-SNE (TSNE(n_components=2, random_state=42)).
 `KMeans (из scikit-learn):`
 Применяется для кластеризации данных методом KMeans (KMeans(n_clusters=3, random_state=42)).
 `matplotlib и seaborn:`
 Используются для визуализации данных и построения графика, который отображает результаты кластеризации (plt.figure, sns.scatterplot, plt.title, plt.show).
 ### Шаги программы
 **Загрузка данных:**
 Данные о компаниях загружаются из CSV-файла "ds_salaries.csv" с использованием pandas.
 **Преобразование категориальных переменных:**
 Местоположение компаний (company_location) и их размер (company_size) преобразуются из категориальных в числовые значения с помощью LabelEncoder.
 **Выбор признаков:**
 Выбираются признаки для анализа, в данном случае, местоположение и размер компаний.
 **Уменьшение размерности с использованием t-SNE:**
 Применяется метод t-SNE для уменьшения размерности данных до двух компонент.
 **Кластеризация данных с использованием KMeans:**
 Кластеризация данных выполняется с помощью метода KMeans с 3 кластерами, определенными на основе результата t-SNE.
 **Создание и визуализация нового датафрейма:**
 Создается новый датафрейм (data_tsne_df), содержащий новые координаты компаний после применения t-SNE, а также метки кластеров.
 Добавляется номер кластера к исходным данным.
 **Визуализация кластеров:**
 Выполняется визуализация результатов кластеризации с использованием библиотеки seaborn.
 ### Запуск программы
 - Склонировать или скачать код `main.py`.
 - Запустите файл в среде, поддерживающей выполнение Python. `python main.py`
 ### Результаты
 ![](img.png)
 На графике представлены компании в двумерном пространстве, где каждая точка относится к конкретному кластеру. Различные цвета точек обозначают принадлежность к разным кластерам.
 Кластеры можно рассматривать как группы компаний с схожими характеристиками местоположения и размера. Компании, находящиеся близко в двумерном пространстве, могут иметь схожие характеристики.
--- a/degtyarev_mikhail_lab_4/ds_salaries.csv
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 ,work_year,experience_level,employment_type,job_title,salary,salary_currency,salary_in_usd,employee_residence,remote_ratio,company_location,company_size
 0,2020,MI,FT,Data Scientist,70000,EUR,79833,DE,0,DE,L
 1,2020,SE,FT,Machine Learning Scientist,260000,USD,260000,JP,0,JP,S
 2,2020,SE,FT,Big Data Engineer,85000,GBP,109024,GB,50,GB,M
 3,2020,MI,FT,Product Data Analyst,20000,USD,20000,HN,0,HN,S
 4,2020,SE,FT,Machine Learning Engineer,150000,USD,150000,US,50,US,L
 5,2020,EN,FT,Data Analyst,72000,USD,72000,US,100,US,L
 6,2020,SE,FT,Lead Data Scientist,190000,USD,190000,US,100,US,S
 7,2020,MI,FT,Data Scientist,11000000,HUF,35735,HU,50,HU,L
 8,2020,MI,FT,Business Data Analyst,135000,USD,135000,US,100,US,L
 9,2020,SE,FT,Lead Data Engineer,125000,USD,125000,NZ,50,NZ,S
 10,2020,EN,FT,Data Scientist,45000,EUR,51321,FR,0,FR,S
 11,2020,MI,FT,Data Scientist,3000000,INR,40481,IN,0,IN,L
 12,2020,EN,FT,Data Scientist,35000,EUR,39916,FR,0,FR,M
 13,2020,MI,FT,Lead Data Analyst,87000,USD,87000,US,100,US,L
 14,2020,MI,FT,Data Analyst,85000,USD,85000,US,100,US,L
 15,2020,MI,FT,Data Analyst,8000,USD,8000,PK,50,PK,L
 16,2020,EN,FT,Data Engineer,4450000,JPY,41689,JP,100,JP,S
 17,2020,SE,FT,Big Data Engineer,100000,EUR,114047,PL,100,GB,S
 18,2020,EN,FT,Data Science Consultant,423000,INR,5707,IN,50,IN,M
 19,2020,MI,FT,Lead Data Engineer,56000,USD,56000,PT,100,US,M
 20,2020,MI,FT,Machine Learning Engineer,299000,CNY,43331,CN,0,CN,M
 21,2020,MI,FT,Product Data Analyst,450000,INR,6072,IN,100,IN,L
 22,2020,SE,FT,Data Engineer,42000,EUR,47899,GR,50,GR,L
 23,2020,MI,FT,BI Data Analyst,98000,USD,98000,US,0,US,M
 24,2020,MI,FT,Lead Data Scientist,115000,USD,115000,AE,0,AE,L
 25,2020,EX,FT,Director of Data Science,325000,USD,325000,US,100,US,L
 26,2020,EN,FT,Research Scientist,42000,USD,42000,NL,50,NL,L
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 28,2020,EN,CT,Business Data Analyst,100000,USD,100000,US,100,US,L
 29,2020,SE,FT,Machine Learning Manager,157000,CAD,117104,CA,50,CA,L
 30,2020,MI,FT,Data Engineering Manager,51999,EUR,59303,DE,100,DE,S
 31,2020,EN,FT,Big Data Engineer,70000,USD,70000,US,100,US,L
 32,2020,SE,FT,Data Scientist,60000,EUR,68428,GR,100,US,L
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 34,2020,MI,FT,Data Analyst,41000,EUR,46759,FR,50,FR,L
 35,2020,MI,FT,Data Engineer,65000,EUR,74130,AT,50,AT,L
 36,2020,MI,FT,Data Science Consultant,103000,USD,103000,US,100,US,L
 37,2020,EN,FT,Machine Learning Engineer,250000,USD,250000,US,50,US,L
 38,2020,EN,FT,Data Analyst,10000,USD,10000,NG,100,NG,S
 39,2020,EN,FT,Machine Learning Engineer,138000,USD,138000,US,100,US,S
 40,2020,MI,FT,Data Scientist,45760,USD,45760,PH,100,US,S
 41,2020,EX,FT,Data Engineering Manager,70000,EUR,79833,ES,50,ES,L
 42,2020,MI,FT,Machine Learning Infrastructure Engineer,44000,EUR,50180,PT,0,PT,M
 43,2020,MI,FT,Data Engineer,106000,USD,106000,US,100,US,L
 44,2020,MI,FT,Data Engineer,88000,GBP,112872,GB,50,GB,L
 45,2020,EN,PT,ML Engineer,14000,EUR,15966,DE,100,DE,S
 46,2020,MI,FT,Data Scientist,60000,GBP,76958,GB,100,GB,S
 47,2020,SE,FT,Data Engineer,188000,USD,188000,US,100,US,L
 48,2020,MI,FT,Data Scientist,105000,USD,105000,US,100,US,L
 49,2020,MI,FT,Data Engineer,61500,EUR,70139,FR,50,FR,L
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 51,2020,EN,FT,Data Analyst,91000,USD,91000,US,100,US,L
 52,2020,EN,FT,AI Scientist,300000,DKK,45896,DK,50,DK,S
 53,2020,EN,FT,Data Engineer,48000,EUR,54742,PK,100,DE,L
 54,2020,SE,FL,Computer Vision Engineer,60000,USD,60000,RU,100,US,S
 55,2020,SE,FT,Principal Data Scientist,130000,EUR,148261,DE,100,DE,M
 56,2020,MI,FT,Data Scientist,34000,EUR,38776,ES,100,ES,M
 57,2020,MI,FT,Data Scientist,118000,USD,118000,US,100,US,M
 58,2020,SE,FT,Data Scientist,120000,USD,120000,US,50,US,L
 59,2020,MI,FT,Data Scientist,138350,USD,138350,US,100,US,M
 60,2020,MI,FT,Data Engineer,110000,USD,110000,US,100,US,L
 61,2020,MI,FT,Data Engineer,130800,USD,130800,ES,100,US,M
 62,2020,EN,PT,Data Scientist,19000,EUR,21669,IT,50,IT,S
 63,2020,SE,FT,Data Scientist,412000,USD,412000,US,100,US,L
 64,2020,SE,FT,Machine Learning Engineer,40000,EUR,45618,HR,100,HR,S
 65,2020,EN,FT,Data Scientist,55000,EUR,62726,DE,50,DE,S
 66,2020,EN,FT,Data Scientist,43200,EUR,49268,DE,0,DE,S
 67,2020,SE,FT,Data Science Manager,190200,USD,190200,US,100,US,M
 68,2020,EN,FT,Data Scientist,105000,USD,105000,US,100,US,S
 69,2020,SE,FT,Data Scientist,80000,EUR,91237,AT,0,AT,S
 70,2020,MI,FT,Data Scientist,55000,EUR,62726,FR,50,LU,S
 71,2020,MI,FT,Data Scientist,37000,EUR,42197,FR,50,FR,S
 72,2021,EN,FT,Research Scientist,60000,GBP,82528,GB,50,GB,L
 73,2021,EX,FT,BI Data Analyst,150000,USD,150000,IN,100,US,L
 74,2021,EX,FT,Head of Data,235000,USD,235000,US,100,US,L
 75,2021,SE,FT,Data Scientist,45000,EUR,53192,FR,50,FR,L
 76,2021,MI,FT,BI Data Analyst,100000,USD,100000,US,100,US,M
 77,2021,MI,PT,3D Computer Vision Researcher,400000,INR,5409,IN,50,IN,M
 78,2021,MI,CT,ML Engineer,270000,USD,270000,US,100,US,L
 79,2021,EN,FT,Data Analyst,80000,USD,80000,US,100,US,M
 80,2021,SE,FT,Data Analytics Engineer,67000,EUR,79197,DE,100,DE,L
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 82,2021,MI,FT,Applied Data Scientist,68000,CAD,54238,GB,50,CA,L
 83,2021,MI,FT,Machine Learning Engineer,40000,EUR,47282,ES,100,ES,S
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 85,2021,MI,FT,Data Engineer,110000,PLN,28476,PL,100,PL,L
 86,2021,EN,FT,Data Analyst,50000,EUR,59102,FR,50,FR,M
 87,2021,MI,FT,Data Analytics Engineer,110000,USD,110000,US,100,US,L
 88,2021,SE,FT,Lead Data Analyst,170000,USD,170000,US,100,US,L
 89,2021,SE,FT,Data Analyst,80000,USD,80000,BG,100,US,S
 90,2021,SE,FT,Marketing Data Analyst,75000,EUR,88654,GR,100,DK,L
 91,2021,EN,FT,Data Science Consultant,65000,EUR,76833,DE,100,DE,S
 92,2021,MI,FT,Lead Data Analyst,1450000,INR,19609,IN,100,IN,L
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 94,2021,EN,FT,Data Scientist,2200000,INR,29751,IN,50,IN,L
 95,2021,MI,FT,Cloud Data Engineer,120000,SGD,89294,SG,50,SG,L
 96,2021,EN,PT,AI Scientist,12000,USD,12000,BR,100,US,S
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 98,2021,EN,FT,Computer Vision Software Engineer,70000,USD,70000,US,100,US,M
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 103,2021,MI,FT,Data Analyst,62000,USD,62000,US,0,US,L
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 105,2021,MI,FT,Data Analyst,37456,GBP,51519,GB,50,GB,L
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 121,2021,SE,FT,Principal Data Engineer,200000,USD,200000,US,100,US,M
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 123,2021,EN,FT,Applied Data Scientist,80000,GBP,110037,GB,0,GB,L
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 125,2021,MI,FT,Principal Data Scientist,151000,USD,151000,US,100,US,L
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 133,2021,SE,FT,Computer Vision Engineer,24000,USD,24000,BR,100,BR,M
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 136,2021,MI,FT,ML Engineer,7000000,JPY,63711,JP,50,JP,S
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 143,2021,MI,FT,Data Scientist,82500,USD,82500,US,100,US,S
 144,2021,MI,FT,Data Engineer,100000,USD,100000,US,100,US,L
 145,2021,SE,FT,Machine Learning Engineer,70000,EUR,82744,BE,50,BE,M
 146,2021,MI,FT,Research Scientist,53000,EUR,62649,FR,50,FR,M
 147,2021,MI,FT,Data Engineer,90000,USD,90000,US,100,US,L
 148,2021,SE,FT,Data Engineering Manager,153000,USD,153000,US,100,US,L
 149,2021,SE,FT,Cloud Data Engineer,160000,USD,160000,BR,100,US,S
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 151,2021,MI,FT,Data Scientist,150000,USD,150000,US,100,US,M
 152,2021,MI,FT,Data Scientist,95000,CAD,75774,CA,100,CA,L
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 154,2021,SE,FT,Data Science Manager,144000,USD,144000,US,100,US,L
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 156,2021,MI,FT,Data Scientist,160000,SGD,119059,SG,100,IL,M
 157,2021,MI,FT,Applied Machine Learning Scientist,423000,USD,423000,US,50,US,L
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 173,2021,SE,FT,Principal Data Scientist,235000,USD,235000,US,100,US,L
 174,2021,SE,FT,Research Scientist,51400,EUR,60757,PT,50,PT,L
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 196,2021,EN,FT,BI Data Analyst,9272,USD,9272,KE,100,KE,S
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 198,2021,SE,FT,Data Science Manager,4000000,INR,54094,IN,50,US,L
 199,2021,EN,FT,Data Science Consultant,90000,USD,90000,US,100,US,S
 200,2021,MI,FT,Data Scientist,52000,EUR,61467,DE,50,AT,M
 201,2021,SE,FT,Machine Learning Infrastructure Engineer,195000,USD,195000,US,100,US,M
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 204,2021,MI,FT,Data Scientist,160000,USD,160000,US,100,US,L
 205,2021,MI,FT,Data Scientist,69600,BRL,12901,BR,0,BR,S
 206,2021,SE,FT,Machine Learning Engineer,200000,USD,200000,US,100,US,L
 207,2021,SE,FT,Data Engineer,165000,USD,165000,US,0,US,M
 208,2021,MI,FL,Data Engineer,20000,USD,20000,IT,0,US,L
 209,2021,SE,FT,Data Analytics Manager,120000,USD,120000,US,0,US,L
 210,2021,MI,FT,Machine Learning Engineer,21000,EUR,24823,SI,50,SI,L
 211,2021,MI,FT,Research Scientist,48000,EUR,56738,FR,50,FR,S
 212,2021,MI,FT,Data Engineer,48000,GBP,66022,HK,50,GB,S
 213,2021,EN,FT,Big Data Engineer,435000,INR,5882,IN,0,CH,L
 214,2021,EN,FT,Machine Learning Engineer,21000,EUR,24823,DE,50,DE,M
 215,2021,SE,FT,Principal Data Engineer,185000,USD,185000,US,100,US,L
 216,2021,EN,PT,Computer Vision Engineer,180000,DKK,28609,DK,50,DK,S
 217,2021,MI,FT,Data Scientist,76760,EUR,90734,DE,50,DE,L
 218,2021,MI,FT,Machine Learning Engineer,75000,EUR,88654,BE,100,BE,M
 219,2021,SE,FT,Data Analytics Manager,140000,USD,140000,US,100,US,L
 220,2021,MI,FT,Machine Learning Engineer,180000,PLN,46597,PL,100,PL,L
 221,2021,MI,FT,Data Scientist,85000,GBP,116914,GB,50,GB,L
 222,2021,MI,FT,Data Scientist,2500000,INR,33808,IN,0,IN,M
 223,2021,MI,FT,Data Scientist,40900,GBP,56256,GB,50,GB,L
 224,2021,SE,FT,Machine Learning Scientist,225000,USD,225000,US,100,CA,L
 225,2021,EX,CT,Principal Data Scientist,416000,USD,416000,US,100,US,S
 226,2021,SE,FT,Data Scientist,110000,CAD,87738,CA,100,CA,S
 227,2021,MI,FT,Data Scientist,75000,EUR,88654,DE,50,DE,L
 228,2021,SE,FT,Data Scientist,135000,USD,135000,US,0,US,L
 229,2021,SE,FT,Data Analyst,90000,CAD,71786,CA,100,CA,M
 230,2021,EN,FT,Big Data Engineer,1200000,INR,16228,IN,100,IN,L
 231,2021,SE,FT,ML Engineer,256000,USD,256000,US,100,US,S
 232,2021,SE,FT,Director of Data Engineering,200000,USD,200000,US,100,US,L
 233,2021,SE,FT,Data Analyst,200000,USD,200000,US,100,US,L
 234,2021,MI,FT,Data Architect,180000,USD,180000,US,100,US,L
 235,2021,MI,FT,Head of Data Science,110000,USD,110000,US,0,US,S
 236,2021,MI,FT,Research Scientist,80000,CAD,63810,CA,100,CA,M
 237,2021,MI,FT,Data Scientist,39600,EUR,46809,ES,100,ES,M
 238,2021,EN,FT,Data Scientist,4000,USD,4000,VN,0,VN,M
 239,2021,EN,FT,Data Engineer,1600000,INR,21637,IN,50,IN,M
 240,2021,SE,FT,Data Scientist,130000,CAD,103691,CA,100,CA,L
 241,2021,MI,FT,Data Analyst,80000,USD,80000,US,100,US,L
 242,2021,MI,FT,Data Engineer,110000,USD,110000,US,100,US,L
 243,2021,SE,FT,Data Scientist,165000,USD,165000,US,100,US,L
 244,2021,EN,FT,AI Scientist,1335000,INR,18053,IN,100,AS,S
 245,2021,MI,FT,Data Engineer,52500,GBP,72212,GB,50,GB,L
 246,2021,EN,FT,Data Scientist,31000,EUR,36643,FR,50,FR,L
 247,2021,MI,FT,Data Engineer,108000,TRY,12103,TR,0,TR,M
 248,2021,SE,FT,Data Engineer,70000,GBP,96282,GB,50,GB,L
 249,2021,SE,FT,Principal Data Analyst,170000,USD,170000,US,100,US,M
 250,2021,MI,FT,Data Scientist,115000,USD,115000,US,50,US,L
 251,2021,EN,FT,Data Scientist,90000,USD,90000,US,100,US,S
 252,2021,EX,FT,Principal Data Engineer,600000,USD,600000,US,100,US,L
 253,2021,EN,FT,Data Scientist,2100000,INR,28399,IN,100,IN,M
 254,2021,MI,FT,Data Analyst,93000,USD,93000,US,100,US,L
 255,2021,SE,FT,Big Data Architect,125000,CAD,99703,CA,50,CA,M
 256,2021,MI,FT,Data Engineer,200000,USD,200000,US,100,US,L
 257,2021,SE,FT,Principal Data Scientist,147000,EUR,173762,DE,100,DE,M
 258,2021,SE,FT,Machine Learning Engineer,185000,USD,185000,US,50,US,L
 259,2021,EX,FT,Director of Data Science,120000,EUR,141846,DE,0,DE,L
 260,2021,MI,FT,Data Scientist,130000,USD,130000,US,50,US,L
 261,2021,SE,FT,Data Analyst,54000,EUR,63831,DE,50,DE,L
 262,2021,MI,FT,Data Scientist,1250000,INR,16904,IN,100,IN,S
 263,2021,SE,FT,Machine Learning Engineer,4900000,INR,66265,IN,0,IN,L
 264,2021,MI,FT,Data Scientist,21600,EUR,25532,RS,100,DE,S
 265,2021,SE,FT,Lead Data Engineer,160000,USD,160000,PR,50,US,S
 266,2021,MI,FT,Data Engineer,93150,USD,93150,US,0,US,M
 267,2021,MI,FT,Data Engineer,111775,USD,111775,US,0,US,M
 268,2021,MI,FT,Data Engineer,250000,TRY,28016,TR,100,TR,M
 269,2021,EN,FT,Data Engineer,55000,EUR,65013,DE,50,DE,M
 270,2021,EN,FT,Data Engineer,72500,USD,72500,US,100,US,L
 271,2021,SE,FT,Computer Vision Engineer,102000,BRL,18907,BR,0,BR,M
 272,2021,EN,FT,Data Science Consultant,65000,EUR,76833,DE,0,DE,L
 273,2021,EN,FT,Machine Learning Engineer,85000,USD,85000,NL,100,DE,S
 274,2021,SE,FT,Data Scientist,65720,EUR,77684,FR,50,FR,M
 275,2021,EN,FT,Data Scientist,100000,USD,100000,US,100,US,M
 276,2021,EN,FT,Data Scientist,58000,USD,58000,US,50,US,L
 277,2021,SE,FT,AI Scientist,55000,USD,55000,ES,100,ES,L
 278,2021,SE,FT,Data Scientist,180000,TRY,20171,TR,50,TR,L
 279,2021,EN,FT,Business Data Analyst,50000,EUR,59102,LU,100,LU,L
 280,2021,MI,FT,Data Engineer,112000,USD,112000,US,100,US,L
 281,2021,EN,FT,Research Scientist,100000,USD,100000,JE,0,CN,L
 282,2021,MI,PT,Data Engineer,59000,EUR,69741,NL,100,NL,L
 283,2021,SE,CT,Staff Data Scientist,105000,USD,105000,US,100,US,M
 284,2021,MI,FT,Research Scientist,69999,USD,69999,CZ,50,CZ,L
 285,2021,SE,FT,Data Science Manager,7000000,INR,94665,IN,50,IN,L
 286,2021,SE,FT,Head of Data,87000,EUR,102839,SI,100,SI,L
 287,2021,MI,FT,Data Scientist,109000,USD,109000,US,50,US,L
 288,2021,MI,FT,Machine Learning Engineer,43200,EUR,51064,IT,50,IT,L
 289,2022,SE,FT,Data Engineer,135000,USD,135000,US,100,US,M
 290,2022,SE,FT,Data Analyst,155000,USD,155000,US,100,US,M
 291,2022,SE,FT,Data Analyst,120600,USD,120600,US,100,US,M
 292,2022,MI,FT,Data Scientist,130000,USD,130000,US,0,US,M
 293,2022,MI,FT,Data Scientist,90000,USD,90000,US,0,US,M
 294,2022,MI,FT,Data Engineer,170000,USD,170000,US,100,US,M
 295,2022,MI,FT,Data Engineer,150000,USD,150000,US,100,US,M
 296,2022,SE,FT,Data Analyst,102100,USD,102100,US,100,US,M
 297,2022,SE,FT,Data Analyst,84900,USD,84900,US,100,US,M
 298,2022,SE,FT,Data Scientist,136620,USD,136620,US,100,US,M
 299,2022,SE,FT,Data Scientist,99360,USD,99360,US,100,US,M
 300,2022,SE,FT,Data Scientist,90000,GBP,117789,GB,0,GB,M
 301,2022,SE,FT,Data Scientist,80000,GBP,104702,GB,0,GB,M
 302,2022,SE,FT,Data Scientist,146000,USD,146000,US,100,US,M
 303,2022,SE,FT,Data Scientist,123000,USD,123000,US,100,US,M
 304,2022,EN,FT,Data Engineer,40000,GBP,52351,GB,100,GB,M
 305,2022,SE,FT,Data Analyst,99000,USD,99000,US,0,US,M
 306,2022,SE,FT,Data Analyst,116000,USD,116000,US,0,US,M
 307,2022,MI,FT,Data Analyst,106260,USD,106260,US,0,US,M
 308,2022,MI,FT,Data Analyst,126500,USD,126500,US,0,US,M
 309,2022,EX,FT,Data Engineer,242000,USD,242000,US,100,US,M
 310,2022,EX,FT,Data Engineer,200000,USD,200000,US,100,US,M
 311,2022,MI,FT,Data Scientist,50000,GBP,65438,GB,0,GB,M
 312,2022,MI,FT,Data Scientist,30000,GBP,39263,GB,0,GB,M
 313,2022,MI,FT,Data Engineer,60000,GBP,78526,GB,0,GB,M
 314,2022,MI,FT,Data Engineer,40000,GBP,52351,GB,0,GB,M
 315,2022,SE,FT,Data Scientist,165220,USD,165220,US,100,US,M
 316,2022,EN,FT,Data Engineer,35000,GBP,45807,GB,100,GB,M
 317,2022,SE,FT,Data Scientist,120160,USD,120160,US,100,US,M
 318,2022,SE,FT,Data Analyst,90320,USD,90320,US,100,US,M
 319,2022,SE,FT,Data Engineer,181940,USD,181940,US,0,US,M
 320,2022,SE,FT,Data Engineer,132320,USD,132320,US,0,US,M
 321,2022,SE,FT,Data Engineer,220110,USD,220110,US,0,US,M
 322,2022,SE,FT,Data Engineer,160080,USD,160080,US,0,US,M
 323,2022,SE,FT,Data Scientist,180000,USD,180000,US,0,US,L
 324,2022,SE,FT,Data Scientist,120000,USD,120000,US,0,US,L
 325,2022,SE,FT,Data Analyst,124190,USD,124190,US,100,US,M
 326,2022,EX,FT,Data Analyst,130000,USD,130000,US,100,US,M
 327,2022,EX,FT,Data Analyst,110000,USD,110000,US,100,US,M
 328,2022,SE,FT,Data Analyst,170000,USD,170000,US,100,US,M
 329,2022,MI,FT,Data Analyst,115500,USD,115500,US,100,US,M
 330,2022,SE,FT,Data Analyst,112900,USD,112900,US,100,US,M
 331,2022,SE,FT,Data Analyst,90320,USD,90320,US,100,US,M
 332,2022,SE,FT,Data Analyst,112900,USD,112900,US,100,US,M
 333,2022,SE,FT,Data Analyst,90320,USD,90320,US,100,US,M
 334,2022,SE,FT,Data Engineer,165400,USD,165400,US,100,US,M
 335,2022,SE,FT,Data Engineer,132320,USD,132320,US,100,US,M
 336,2022,MI,FT,Data Analyst,167000,USD,167000,US,100,US,M
 337,2022,SE,FT,Data Engineer,243900,USD,243900,US,100,US,M
 338,2022,SE,FT,Data Analyst,136600,USD,136600,US,100,US,M
 339,2022,SE,FT,Data Analyst,109280,USD,109280,US,100,US,M
 340,2022,SE,FT,Data Engineer,128875,USD,128875,US,100,US,M
 341,2022,SE,FT,Data Engineer,93700,USD,93700,US,100,US,M
 342,2022,EX,FT,Head of Data Science,224000,USD,224000,US,100,US,M
 343,2022,EX,FT,Head of Data Science,167875,USD,167875,US,100,US,M
 344,2022,EX,FT,Analytics Engineer,175000,USD,175000,US,100,US,M
 345,2022,SE,FT,Data Engineer,156600,USD,156600,US,100,US,M
 346,2022,SE,FT,Data Engineer,108800,USD,108800,US,0,US,M
 347,2022,SE,FT,Data Scientist,95550,USD,95550,US,0,US,M
 348,2022,SE,FT,Data Engineer,113000,USD,113000,US,0,US,L
 349,2022,SE,FT,Data Analyst,135000,USD,135000,US,100,US,M
 350,2022,SE,FT,Data Science Manager,161342,USD,161342,US,100,US,M
 351,2022,SE,FT,Data Science Manager,137141,USD,137141,US,100,US,M
 352,2022,SE,FT,Data Scientist,167000,USD,167000,US,100,US,M
 353,2022,SE,FT,Data Scientist,123000,USD,123000,US,100,US,M
 354,2022,SE,FT,Data Engineer,60000,GBP,78526,GB,0,GB,M
 355,2022,SE,FT,Data Engineer,50000,GBP,65438,GB,0,GB,M
 356,2022,SE,FT,Data Scientist,150000,USD,150000,US,0,US,M
 357,2022,SE,FT,Data Scientist,211500,USD,211500,US,100,US,M
 358,2022,SE,FT,Data Architect,192400,USD,192400,CA,100,CA,M
 359,2022,SE,FT,Data Architect,90700,USD,90700,CA,100,CA,M
 360,2022,SE,FT,Data Analyst,130000,USD,130000,CA,100,CA,M
 361,2022,SE,FT,Data Analyst,61300,USD,61300,CA,100,CA,M
 362,2022,SE,FT,Data Analyst,130000,USD,130000,CA,100,CA,M
 363,2022,SE,FT,Data Analyst,61300,USD,61300,CA,100,CA,M
 364,2022,SE,FT,Data Engineer,160000,USD,160000,US,0,US,L
 365,2022,SE,FT,Data Scientist,138600,USD,138600,US,100,US,M
 366,2022,SE,FT,Data Engineer,136000,USD,136000,US,0,US,M
 367,2022,MI,FT,Data Analyst,58000,USD,58000,US,0,US,S
 368,2022,EX,FT,Analytics Engineer,135000,USD,135000,US,100,US,M
 369,2022,SE,FT,Data Scientist,170000,USD,170000,US,100,US,M
 370,2022,SE,FT,Data Scientist,123000,USD,123000,US,100,US,M
 371,2022,SE,FT,Machine Learning Engineer,189650,USD,189650,US,0,US,M
 372,2022,SE,FT,Machine Learning Engineer,164996,USD,164996,US,0,US,M
 373,2022,MI,FT,ETL Developer,50000,EUR,54957,GR,0,GR,M
 374,2022,MI,FT,ETL Developer,50000,EUR,54957,GR,0,GR,M
 375,2022,EX,FT,Lead Data Engineer,150000,CAD,118187,CA,100,CA,S
 376,2022,SE,FT,Data Analyst,132000,USD,132000,US,0,US,M
 377,2022,SE,FT,Data Engineer,165400,USD,165400,US,100,US,M
 378,2022,SE,FT,Data Architect,208775,USD,208775,US,100,US,M
 379,2022,SE,FT,Data Architect,147800,USD,147800,US,100,US,M
 380,2022,SE,FT,Data Engineer,136994,USD,136994,US,100,US,M
 381,2022,SE,FT,Data Engineer,101570,USD,101570,US,100,US,M
 382,2022,SE,FT,Data Analyst,128875,USD,128875,US,100,US,M
 383,2022,SE,FT,Data Analyst,93700,USD,93700,US,100,US,M
 384,2022,EX,FT,Head of Machine Learning,6000000,INR,79039,IN,50,IN,L
 385,2022,SE,FT,Data Engineer,132320,USD,132320,US,100,US,M
 386,2022,EN,FT,Machine Learning Engineer,28500,GBP,37300,GB,100,GB,L
 387,2022,SE,FT,Data Analyst,164000,USD,164000,US,0,US,M
 388,2022,SE,FT,Data Engineer,155000,USD,155000,US,100,US,M
 389,2022,MI,FT,Machine Learning Engineer,95000,GBP,124333,GB,0,GB,M
 390,2022,MI,FT,Machine Learning Engineer,75000,GBP,98158,GB,0,GB,M
 391,2022,MI,FT,AI Scientist,120000,USD,120000,US,0,US,M
 392,2022,SE,FT,Data Analyst,112900,USD,112900,US,100,US,M
 393,2022,SE,FT,Data Analyst,90320,USD,90320,US,100,US,M
 394,2022,SE,FT,Data Analytics Manager,145000,USD,145000,US,100,US,M
 395,2022,SE,FT,Data Analytics Manager,105400,USD,105400,US,100,US,M
 396,2022,MI,FT,Machine Learning Engineer,80000,EUR,87932,FR,100,DE,M
 397,2022,MI,FT,Data Engineer,90000,GBP,117789,GB,0,GB,M
 398,2022,SE,FT,Data Scientist,215300,USD,215300,US,100,US,L
 399,2022,SE,FT,Data Scientist,158200,USD,158200,US,100,US,L
 400,2022,SE,FT,Data Engineer,209100,USD,209100,US,100,US,L
 401,2022,SE,FT,Data Engineer,154600,USD,154600,US,100,US,L
 402,2022,SE,FT,Data Analyst,115934,USD,115934,US,0,US,M
 403,2022,SE,FT,Data Analyst,81666,USD,81666,US,0,US,M
 404,2022,SE,FT,Data Engineer,175000,USD,175000,US,100,US,M
 405,2022,MI,FT,Data Engineer,75000,GBP,98158,GB,0,GB,M
 406,2022,MI,FT,Data Analyst,58000,USD,58000,US,0,US,S
 407,2022,SE,FT,Data Engineer,183600,USD,183600,US,100,US,L
 408,2022,MI,FT,Data Analyst,40000,GBP,52351,GB,100,GB,M
 409,2022,SE,FT,Data Scientist,180000,USD,180000,US,100,US,M
 410,2022,MI,FT,Data Scientist,55000,GBP,71982,GB,0,GB,M
 411,2022,MI,FT,Data Scientist,35000,GBP,45807,GB,0,GB,M
 412,2022,MI,FT,Data Engineer,60000,EUR,65949,GR,100,GR,M
 413,2022,MI,FT,Data Engineer,45000,EUR,49461,GR,100,GR,M
 414,2022,MI,FT,Data Engineer,60000,GBP,78526,GB,100,GB,M
 415,2022,MI,FT,Data Engineer,45000,GBP,58894,GB,100,GB,M
 416,2022,SE,FT,Data Scientist,260000,USD,260000,US,100,US,M
 417,2022,SE,FT,Data Science Engineer,60000,USD,60000,AR,100,MX,L
 418,2022,MI,FT,Data Engineer,63900,USD,63900,US,0,US,M
 419,2022,MI,FT,Machine Learning Scientist,160000,USD,160000,US,100,US,L
 420,2022,MI,FT,Machine Learning Scientist,112300,USD,112300,US,100,US,L
 421,2022,MI,FT,Data Science Manager,241000,USD,241000,US,100,US,M
 422,2022,MI,FT,Data Science Manager,159000,USD,159000,US,100,US,M
 423,2022,SE,FT,Data Scientist,180000,USD,180000,US,0,US,M
 424,2022,SE,FT,Data Scientist,80000,USD,80000,US,0,US,M
 425,2022,MI,FT,Data Engineer,82900,USD,82900,US,0,US,M
 426,2022,SE,FT,Data Engineer,100800,USD,100800,US,100,US,L
 427,2022,MI,FT,Data Engineer,45000,EUR,49461,ES,100,ES,M
 428,2022,SE,FT,Data Scientist,140400,USD,140400,US,0,US,L
 429,2022,MI,FT,Data Analyst,30000,GBP,39263,GB,100,GB,M
 430,2022,MI,FT,Data Analyst,40000,EUR,43966,ES,100,ES,M
 431,2022,MI,FT,Data Analyst,30000,EUR,32974,ES,100,ES,M
 432,2022,MI,FT,Data Engineer,80000,EUR,87932,ES,100,ES,M
 433,2022,MI,FT,Data Engineer,70000,EUR,76940,ES,100,ES,M
 434,2022,MI,FT,Data Engineer,80000,GBP,104702,GB,100,GB,M
 435,2022,MI,FT,Data Engineer,70000,GBP,91614,GB,100,GB,M
 436,2022,MI,FT,Data Engineer,60000,EUR,65949,ES,100,ES,M
 437,2022,MI,FT,Data Engineer,80000,EUR,87932,GR,100,GR,M
 438,2022,SE,FT,Machine Learning Engineer,189650,USD,189650,US,0,US,M
 439,2022,SE,FT,Machine Learning Engineer,164996,USD,164996,US,0,US,M
 440,2022,MI,FT,Data Analyst,40000,EUR,43966,GR,100,GR,M
 441,2022,MI,FT,Data Analyst,30000,EUR,32974,GR,100,GR,M
 442,2022,MI,FT,Data Engineer,75000,GBP,98158,GB,100,GB,M
 443,2022,MI,FT,Data Engineer,60000,GBP,78526,GB,100,GB,M
 444,2022,SE,FT,Data Scientist,215300,USD,215300,US,0,US,L
 445,2022,MI,FT,Data Engineer,70000,EUR,76940,GR,100,GR,M
 446,2022,SE,FT,Data Engineer,209100,USD,209100,US,100,US,L
 447,2022,SE,FT,Data Engineer,154600,USD,154600,US,100,US,L
 448,2022,SE,FT,Data Engineer,180000,USD,180000,US,100,US,M
 449,2022,EN,FT,ML Engineer,20000,EUR,21983,PT,100,PT,L
 450,2022,SE,FT,Data Engineer,80000,USD,80000,US,100,US,M
 451,2022,MI,FT,Machine Learning Developer,100000,CAD,78791,CA,100,CA,M
 452,2022,EX,FT,Director of Data Science,250000,CAD,196979,CA,50,CA,L
 453,2022,MI,FT,Machine Learning Engineer,120000,USD,120000,US,100,US,S
 454,2022,EN,FT,Computer Vision Engineer,125000,USD,125000,US,0,US,M
 455,2022,MI,FT,NLP Engineer,240000,CNY,37236,US,50,US,L
 456,2022,SE,FT,Data Engineer,105000,USD,105000,US,100,US,M
 457,2022,SE,FT,Lead Machine Learning Engineer,80000,EUR,87932,DE,0,DE,M
 458,2022,MI,FT,Business Data Analyst,1400000,INR,18442,IN,100,IN,M
 459,2022,MI,FT,Data Scientist,2400000,INR,31615,IN,100,IN,L
 460,2022,MI,FT,Machine Learning Infrastructure Engineer,53000,EUR,58255,PT,50,PT,L
 461,2022,EN,FT,Financial Data Analyst,100000,USD,100000,US,50,US,L
 462,2022,MI,PT,Data Engineer,50000,EUR,54957,DE,50,DE,L
 463,2022,EN,FT,Data Scientist,1400000,INR,18442,IN,100,IN,M
 464,2022,SE,FT,Principal Data Scientist,148000,EUR,162674,DE,100,DE,M
 465,2022,EN,FT,Data Engineer,120000,USD,120000,US,100,US,M
 466,2022,SE,FT,Research Scientist,144000,USD,144000,US,50,US,L
 467,2022,SE,FT,Data Scientist,104890,USD,104890,US,100,US,M
 468,2022,SE,FT,Data Engineer,100000,USD,100000,US,100,US,M
 469,2022,SE,FT,Data Scientist,140000,USD,140000,US,100,US,M
 470,2022,MI,FT,Data Analyst,135000,USD,135000,US,100,US,M
 471,2022,MI,FT,Data Analyst,50000,USD,50000,US,100,US,M
 472,2022,SE,FT,Data Scientist,220000,USD,220000,US,100,US,M
 473,2022,SE,FT,Data Scientist,140000,USD,140000,US,100,US,M
 474,2022,MI,FT,Data Scientist,140000,GBP,183228,GB,0,GB,M
 475,2022,MI,FT,Data Scientist,70000,GBP,91614,GB,0,GB,M
 476,2022,SE,FT,Data Scientist,185100,USD,185100,US,100,US,M
 477,2022,SE,FT,Machine Learning Engineer,220000,USD,220000,US,100,US,M
 478,2022,MI,FT,Data Scientist,200000,USD,200000,US,100,US,M
 479,2022,MI,FT,Data Scientist,120000,USD,120000,US,100,US,M
 480,2022,SE,FT,Machine Learning Engineer,120000,USD,120000,AE,100,AE,S
 481,2022,SE,FT,Machine Learning Engineer,65000,USD,65000,AE,100,AE,S
 482,2022,EX,FT,Data Engineer,324000,USD,324000,US,100,US,M
 483,2022,EX,FT,Data Engineer,216000,USD,216000,US,100,US,M
 484,2022,SE,FT,Data Engineer,210000,USD,210000,US,100,US,M
 485,2022,SE,FT,Machine Learning Engineer,120000,USD,120000,US,100,US,M
 486,2022,SE,FT,Data Scientist,230000,USD,230000,US,100,US,M
 487,2022,EN,PT,Data Scientist,100000,USD,100000,DZ,50,DZ,M
 488,2022,MI,FL,Data Scientist,100000,USD,100000,CA,100,US,M
 489,2022,EN,CT,Applied Machine Learning Scientist,29000,EUR,31875,TN,100,CZ,M
 490,2022,SE,FT,Head of Data,200000,USD,200000,MY,100,US,M
 491,2022,MI,FT,Principal Data Analyst,75000,USD,75000,CA,100,CA,S
 492,2022,MI,FT,Data Scientist,150000,PLN,35590,PL,100,PL,L
 493,2022,SE,FT,Machine Learning Developer,100000,CAD,78791,CA,100,CA,M
 494,2022,SE,FT,Data Scientist,100000,USD,100000,BR,100,US,M
 495,2022,MI,FT,Machine Learning Scientist,153000,USD,153000,US,50,US,M
 496,2022,EN,FT,Data Engineer,52800,EUR,58035,PK,100,DE,M
 497,2022,SE,FT,Data Scientist,165000,USD,165000,US,100,US,M
 498,2022,SE,FT,Research Scientist,85000,EUR,93427,FR,50,FR,L
 499,2022,EN,FT,Data Scientist,66500,CAD,52396,CA,100,CA,L
 500,2022,SE,FT,Machine Learning Engineer,57000,EUR,62651,NL,100,NL,L
 501,2022,MI,FT,Head of Data,30000,EUR,32974,EE,100,EE,S
 502,2022,EN,FT,Data Scientist,40000,USD,40000,JP,100,MY,L
 503,2022,MI,FT,Machine Learning Engineer,121000,AUD,87425,AU,100,AU,L
 504,2022,SE,FT,Data Engineer,115000,USD,115000,US,100,US,M
 505,2022,EN,FT,Data Scientist,120000,AUD,86703,AU,50,AU,M
 506,2022,MI,FT,Applied Machine Learning Scientist,75000,USD,75000,BO,100,US,L
 507,2022,MI,FT,Research Scientist,59000,EUR,64849,AT,0,AT,L
 508,2022,EN,FT,Research Scientist,120000,USD,120000,US,100,US,L
 509,2022,MI,FT,Applied Data Scientist,157000,USD,157000,US,100,US,L
 510,2022,EN,FT,Computer Vision Software Engineer,150000,USD,150000,AU,100,AU,S
 511,2022,MI,FT,Business Data Analyst,90000,CAD,70912,CA,50,CA,L
 512,2022,EN,FT,Data Engineer,65000,USD,65000,US,100,US,S
 513,2022,SE,FT,Machine Learning Engineer,65000,EUR,71444,IE,100,IE,S
 514,2022,EN,FT,Data Analytics Engineer,20000,USD,20000,PK,0,PK,M
 515,2022,MI,FT,Data Scientist,48000,USD,48000,RU,100,US,S
 516,2022,SE,FT,Data Science Manager,152500,USD,152500,US,100,US,M
 517,2022,MI,FT,Data Engineer,62000,EUR,68147,FR,100,FR,M
 518,2022,MI,FT,Data Scientist,115000,CHF,122346,CH,0,CH,L
 519,2022,SE,FT,Applied Data Scientist,380000,USD,380000,US,100,US,L
 520,2022,MI,FT,Data Scientist,88000,CAD,69336,CA,100,CA,M
 521,2022,EN,FT,Computer Vision Engineer,10000,USD,10000,PT,100,LU,M
 522,2022,MI,FT,Data Analyst,20000,USD,20000,GR,100,GR,S
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 524,2022,MI,FT,Data Scientist,135000,USD,135000,US,100,US,L
 525,2022,SE,FT,Applied Data Scientist,177000,USD,177000,US,100,US,L
 526,2022,MI,FT,Data Scientist,78000,USD,78000,US,100,US,M
 527,2022,SE,FT,Data Analyst,135000,USD,135000,US,100,US,M
 528,2022,SE,FT,Data Analyst,100000,USD,100000,US,100,US,M
 529,2022,SE,FT,Data Analyst,90320,USD,90320,US,100,US,M
 530,2022,MI,FT,Data Analyst,85000,USD,85000,CA,0,CA,M
 531,2022,MI,FT,Data Analyst,75000,USD,75000,CA,0,CA,M
 532,2022,SE,FT,Machine Learning Engineer,214000,USD,214000,US,100,US,M
 533,2022,SE,FT,Machine Learning Engineer,192600,USD,192600,US,100,US,M
 534,2022,SE,FT,Data Architect,266400,USD,266400,US,100,US,M
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 536,2022,SE,FT,Data Analyst,112900,USD,112900,US,100,US,M
 537,2022,SE,FT,Data Engineer,155000,USD,155000,US,100,US,M
 538,2022,MI,FT,Data Scientist,141300,USD,141300,US,0,US,M
 539,2022,MI,FT,Data Scientist,102100,USD,102100,US,0,US,M
 540,2022,SE,FT,Data Analyst,115934,USD,115934,US,100,US,M
 541,2022,SE,FT,Data Analyst,81666,USD,81666,US,100,US,M
 542,2022,MI,FT,Data Engineer,206699,USD,206699,US,0,US,M
 543,2022,MI,FT,Data Engineer,99100,USD,99100,US,0,US,M
 544,2022,SE,FT,Data Engineer,130000,USD,130000,US,100,US,M
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 547,2022,SE,FT,Data Engineer,130000,USD,130000,US,100,US,M
 548,2022,SE,FT,Data Analyst,99050,USD,99050,US,100,US,M
 549,2022,SE,FT,Data Engineer,160000,USD,160000,US,100,US,M
 550,2022,SE,FT,Data Scientist,205300,USD,205300,US,0,US,L
 551,2022,SE,FT,Data Scientist,140400,USD,140400,US,0,US,L
 552,2022,SE,FT,Data Scientist,176000,USD,176000,US,100,US,M
 553,2022,SE,FT,Data Scientist,144000,USD,144000,US,100,US,M
 554,2022,SE,FT,Data Engineer,200100,USD,200100,US,100,US,M
 555,2022,SE,FT,Data Engineer,160000,USD,160000,US,100,US,M
 556,2022,SE,FT,Data Engineer,145000,USD,145000,US,100,US,M
 557,2022,SE,FT,Data Engineer,70500,USD,70500,US,0,US,M
 558,2022,SE,FT,Data Scientist,205300,USD,205300,US,0,US,M
 559,2022,SE,FT,Data Scientist,140400,USD,140400,US,0,US,M
 560,2022,SE,FT,Analytics Engineer,205300,USD,205300,US,0,US,M
 561,2022,SE,FT,Analytics Engineer,184700,USD,184700,US,0,US,M
 562,2022,SE,FT,Data Engineer,175100,USD,175100,US,100,US,M
 563,2022,SE,FT,Data Engineer,140250,USD,140250,US,100,US,M
 564,2022,SE,FT,Data Analyst,116150,USD,116150,US,100,US,M
 565,2022,SE,FT,Data Engineer,54000,USD,54000,US,0,US,M
 566,2022,SE,FT,Data Analyst,170000,USD,170000,US,100,US,M
 567,2022,MI,FT,Data Analyst,50000,GBP,65438,GB,0,GB,M
 568,2022,SE,FT,Data Analyst,80000,USD,80000,US,100,US,M
 569,2022,SE,FT,Data Scientist,140000,USD,140000,US,100,US,M
 570,2022,SE,FT,Data Scientist,210000,USD,210000,US,100,US,M
 571,2022,SE,FT,Data Scientist,140000,USD,140000,US,100,US,M
 572,2022,SE,FT,Data Analyst,100000,USD,100000,US,100,US,M
 573,2022,SE,FT,Data Analyst,69000,USD,69000,US,100,US,M
 574,2022,SE,FT,Data Scientist,210000,USD,210000,US,100,US,M
 575,2022,SE,FT,Data Scientist,140000,USD,140000,US,100,US,M
 576,2022,SE,FT,Data Scientist,210000,USD,210000,US,100,US,M
 577,2022,SE,FT,Data Analyst,150075,USD,150075,US,100,US,M
 578,2022,SE,FT,Data Engineer,100000,USD,100000,US,100,US,M
 579,2022,SE,FT,Data Engineer,25000,USD,25000,US,100,US,M
 580,2022,SE,FT,Data Analyst,126500,USD,126500,US,100,US,M
 581,2022,SE,FT,Data Analyst,106260,USD,106260,US,100,US,M
 582,2022,SE,FT,Data Engineer,220110,USD,220110,US,100,US,M
 583,2022,SE,FT,Data Engineer,160080,USD,160080,US,100,US,M
 584,2022,SE,FT,Data Analyst,105000,USD,105000,US,100,US,M
 585,2022,SE,FT,Data Analyst,110925,USD,110925,US,100,US,M
 586,2022,MI,FT,Data Analyst,35000,GBP,45807,GB,0,GB,M
 587,2022,SE,FT,Data Scientist,140000,USD,140000,US,100,US,M
 588,2022,SE,FT,Data Analyst,99000,USD,99000,US,0,US,M
 589,2022,SE,FT,Data Analyst,60000,USD,60000,US,100,US,M
 590,2022,SE,FT,Data Architect,192564,USD,192564,US,100,US,M
 591,2022,SE,FT,Data Architect,144854,USD,144854,US,100,US,M
 592,2022,SE,FT,Data Scientist,230000,USD,230000,US,100,US,M
 593,2022,SE,FT,Data Scientist,150000,USD,150000,US,100,US,M
 594,2022,SE,FT,Data Analytics Manager,150260,USD,150260,US,100,US,M
 595,2022,SE,FT,Data Analytics Manager,109280,USD,109280,US,100,US,M
 596,2022,SE,FT,Data Scientist,210000,USD,210000,US,100,US,M
 597,2022,SE,FT,Data Analyst,170000,USD,170000,US,100,US,M
 598,2022,MI,FT,Data Scientist,160000,USD,160000,US,100,US,M
 599,2022,MI,FT,Data Scientist,130000,USD,130000,US,100,US,M
 600,2022,EN,FT,Data Analyst,67000,USD,67000,CA,0,CA,M
 601,2022,EN,FT,Data Analyst,52000,USD,52000,CA,0,CA,M
 602,2022,SE,FT,Data Engineer,154000,USD,154000,US,100,US,M
 603,2022,SE,FT,Data Engineer,126000,USD,126000,US,100,US,M
 604,2022,SE,FT,Data Analyst,129000,USD,129000,US,0,US,M
 605,2022,SE,FT,Data Analyst,150000,USD,150000,US,100,US,M
 606,2022,MI,FT,AI Scientist,200000,USD,200000,IN,100,US,L
--- a/degtyarev_mikhail_lab_4/img.png
+++ b/degtyarev_mikhail_lab_4/img.png
--- a/degtyarev_mikhail_lab_4/main.py
+++ b/degtyarev_mikhail_lab_4/main.py
@ -0,0 +1,41 @@
 import pandas as pd
 from sklearn.preprocessing import LabelEncoder
 from sklearn.manifold import TSNE
 from sklearn.cluster import KMeans
 import matplotlib.pyplot as plt
 import seaborn as sns
 # Загрузка данных
 data = pd.read_csv("ds_salaries.csv")
 # Преобразование категориальных переменных в числовые
 le = LabelEncoder()
 data['company_location'] = le.fit_transform(data['company_location'])
 data['company_size'] = le.fit_transform(data['company_size'])
 # Выбор нужных признаков
 features = ['company_location', 'company_size']
 # Применение t-SNE для уменьшения размерности
 tsne = TSNE(n_components=2, random_state=42)
 data_tsne = tsne.fit_transform(data[features])
 # Кластеризация данных
 kmeans = KMeans(n_clusters=3, random_state=42)
 labels = kmeans.fit_predict(data_tsne)
 # Создание датафрейма с новыми координатами и метками кластеров
 data_tsne_df = pd.DataFrame(data=data_tsne, columns=['Dimension 1', 'Dimension 2'])
 data_tsne_df['Cluster'] = labels
 # Добавление номера кластера в исходные данные
 data['Cluster'] = labels
 # Визуализация
 plt.figure(figsize=(10, 6))
 sns.scatterplot(x='Dimension 1', y='Dimension 2', hue='Cluster', data=data_tsne_df, palette='viridis', s=50)
 plt.title('t-SNE Clustering of Companies')
 plt.show()
 # Вывод номера кластера в исходных данных
 print(data[['company_location', 'company_size', 'Cluster']])