From 1e1fb66be262aa7527e2c035eb4de16147c892f0 Mon Sep 17 00:00:00 2001
From: NastyaBay <93851988+NastyaBay@users.noreply.github.com>
Date: Fri, 10 Dec 2021 18:30:29 +0500
Subject: [PATCH 1/5] =?UTF-8?q?=D1=81=20=D0=BF=D0=B0=D1=80=D1=8B=20+=20?=
=?UTF-8?q?=D0=B4=D0=B7?=
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0 <p>Аналитическое мышление, <span cla...
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0 <p>Аналитическое мышление, <span cla...
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0 <p>Аналитическое мышление, <span cla...
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Out[131]:
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Out[132]:
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инженер 25
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Untitled slides
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Out[3]:
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- qualification
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- dateModify
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- otherInfo
-
-
-
-
- 0
- 60000
- Высшее
- Специалист пресс-службы
- Магистр
- Мужской
- 2021-04-01
- <p>Аналитическое мышление, <span cla...
- NaN
-
-
- 1
- 85000
- Высшее
- менеджер проектов
- NaN
- Мужской
- 2021-04-01
- NaN
- NaN
-
-
- 2
- 15000
- Среднее профессиональное
- ....
- NaN
- Женский
- 2021-06-01
- NaN
- NaN
-
-
- 3
- 30000
- NaN
- NaN
- NaN
- Женский
- 2021-04-03
- NaN
- NaN
-
-
- 4
- 45000
- NaN
- NaN
- NaN
- Мужской
- 2021-06-28
- NaN
- NaN
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-
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Out[4]:
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- salary
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- 32678
- 15000
- NaN
- NaN
- NaN
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- NaN
- NaN
-
-
- 32679
- 13000
- Среднее
- уборщица
- NaN
- Женский
- 2021-07-29
- NaN
- NaN
-
-
- 32680
- 16000
- Среднее профессиональное
- кочегар машинист котельной
- NaN
- Мужской
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- NaN
- NaN
-
-
- 32681
- 35000
- Высшее
- NaN
- NaN
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- NaN
- NaN
-
-
- 32682
- 30000
- NaN
- NaN
- NaN
- Мужской
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- NaN
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-
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<class 'pandas.core.frame.DataFrame'>
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---- ------ -------------- -----
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- 5 dateModify 32682 non-null object
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Out[6]:
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- salary
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- count
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-
-
- min
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-
-
- 25%
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-
-
- 50%
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-
-
- 75%
- 40000.000000
-
-
- max
- 1000000.000000
-
-
-
-
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-
-
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Out[7]:
-
-
-
-
-
-
pandas.core.series.Series
-
-
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-
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-
-
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-
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-
-
-
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Out[8]:
-
-
-
-
-
-
count 31296
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-freq 17910
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Out[9]:
-
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Out[10]:
-
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Out[11]:
-
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-
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Out[12]:
-
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Out[13]:
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-
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-
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-
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Out[14]:
-
-
-
-
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-
-
-
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-
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-
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-
-
-
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Out[15]:
-
-
-
-
-
-
Женский 17910
-Мужской 13386
-Name: gender, dtype: int64
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-
-
-
-
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Out[16]:
-
-
-
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-
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-
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Out[17]:
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-
-
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<class 'pandas.core.frame.DataFrame'>
-RangeIndex: 32683 entries, 0 to 32682
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- # Column Non-Null Count Dtype
---- ------ -------------- -----
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- 1 educationType 24750 non-null object
- 2 jobTitle 20259 non-null object
- 3 qualification 12176 non-null object
- 4 gender 31296 non-null object
- 5 dateModify 32682 non-null object
- 6 skills 8972 non-null object
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Out[19]:
-
-
-
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-
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-
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Out[20]:
-
-
-
-
-
-
0 <p>Аналитическое мышление, <span cla...
-5 Ответственная,пунктуальная,дисциплинированная ...
-10 <p>Коммуникабельность </p>
-13 <p>Ответственность в работе</p>
-21 <p>Усидчивость, умение удерживать в памяти нуж...
- ...
-32665 <p>Отвественность</p><p>Исполнительность</p><p...
-32668 <p>Высокая работоспособность, нацеленность на ...
-32672 <p>исполнительный</p>
-32674 <p>Нацелен на результат. Считаю себя командным...
-32675 <p>трудоспособен</p>
-Name: skills, Length: 8972, dtype: object
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-
-
-
-
-
-
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-
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-
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-
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-
-
-
-
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Out[21]:
-
-
-
-
-
-
0 <p>Аналитическое мышление, <span cla...
-5 Ответственная,пунктуальная,дисциплинированная ...
-10 <p>Коммуникабельность </p>
-13 <p>Ответственность в работе</p>
-21 <p>Усидчивость, умение удерживать в памяти нуж...
- ...
-32665 <p>Отвественность</p><p>Исполнительность</p><p...
-32668 <p>Высокая работоспособность, нацеленность на ...
-32672 <p>исполнительный</p>
-32674 <p>Нацелен на результат. Считаю себя командным...
-32675 <p>трудоспособен</p>
-Name: skills, Length: 8972, dtype: object
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Out[22]:
-
-
-
-
-
-
0 <p>Аналитическое мышление, <span cla...
-5 Ответственная,пунктуальная,дисциплинированная ...
-10 <p>Коммуникабельность </p>
-13 <p>Ответственность в работе</p>
-21 <p>Усидчивость, умение удерживать в памяти нуж...
- ...
-32665 <p>Отвественность</p><p>Исполнительность</p><p...
-32668 <p>Высокая работоспособность, нацеленность на ...
-32672 <p>исполнительный</p>
-32674 <p>Нацелен на результат. Считаю себя командным...
-32675 <p>трудоспособен</p>
-Name: skills, Length: 8972, dtype: object
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Out[23]:
-
-
-
-
-
-
-
-
-
- salary
- educationType
- jobTitle
- qualification
- gender
- dateModify
- skills
- otherInfo
-
-
-
-
- 869
- 22000
- Среднее профессиональное
- бухгалтер
- NaN
- Женский
- 2021-03-15
- <p>ответственность</p>
- NaN
-
-
- 1124
- 22000
- NaN
- NaN
- NaN
- Женский
- 2021-09-11
- NaN
- NaN
-
-
- 1207
- 22000
- NaN
- NaN
- NaN
- Женский
- 2021-11-11
- NaN
- NaN
-
-
- 1547
- 22000
- Среднее профессиональное
- продавец
- NaN
- Женский
- 2021-06-26
- <p>общительность, умение распологать людей к с...
- NaN
-
-
- 2035
- 22000
- NaN
- NaN
- NaN
- Женский
- 2021-09-18
- NaN
- NaN
-
-
- ...
- ...
- ...
- ...
- ...
- ...
- ...
- ...
- ...
-
-
- 30302
- 22000
- Среднее
- Штукатур
- NaN
- Женский
- 2021-06-11
- <p>Исполнительность.</p>
- NaN
-
-
- 30630
- 22000
- Среднее
- NaN
- NaN
- Женский
- 2021-04-27
- NaN
- NaN
-
-
- 31206
- 22000
- Среднее профессиональное
- Продавец- универсал
- Мастер производственного обучения
- Женский
- 2021-11-23
- NaN
- NaN
-
-
- 31807
- 22000
- Высшее
- Бухгалтер
- NaN
- Женский
- 2021-11-10
- NaN
- Резюме было сгенерировано автоматически на осн...
-
-
- 32417
- 22000
- Среднее
- NaN
- NaN
- Женский
- 2021-07-21
- NaN
- NaN
-
-
-
-
85 rows × 8 columns
-
-
-
-
-
-
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-
-
-
-
-
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-
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-
-
-
-
Out[27]:
-
-
-
-
-
-
230 35000
-334 20000
-2394 35000
-8096 15000
-9014 25000
-9667 90000
-20930 30000
-22530 50000
-28286 23000
-30430 23000
-Name: salary, dtype: int64
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Out[29]:
-
-
-
-
-
-
array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1. ])
-
-
-
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-
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-
-
-
-
-
-
-
-
-
-
-
-
-
-
Out[30]:
-
-
-
-
-
-
-
-
-
- salary
-
-
-
-
- 0.1
- 15000.0
-
-
- 0.2
- 20000.0
-
-
- 0.3
- 25000.0
-
-
- 0.4
- 30000.0
-
-
- 0.5
- 30000.0
-
-
- 0.6
- 35000.0
-
-
- 0.7
- 40000.0
-
-
- 0.8
- 50000.0
-
-
- 0.9
- 60000.0
-
-
- 1.0
- 1000000.0
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-
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-
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-
-
-
-
Out[34]:
-
-
-
-
-
-
-
-
-
- salary
-
-
-
-
- 0.1
- 15000.0
-
-
- 0.2
- 18000.0
-
-
- 0.3
- 20000.0
-
-
- 0.4
- 22000.0
-
-
- 0.5
- 25000.0
-
-
- 0.6
- 30000.0
-
-
- 0.7
- 30000.0
-
-
- 0.8
- 35000.0
-
-
- 0.9
- 47000.0
-
-
- 1.0
- 900000.0
-
-
-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
-
-
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Out[51]:
-
-
-
-
-
-
-
-
-
- educationType
- salary
-
-
-
-
- 0
- Высшее
- 48551.775767
-
-
- 1
- Незаконченное высшее
- 47691.925287
-
-
- 2
- Среднее
- 32519.767707
-
-
- 3
- Среднее профессиональное
- 35329.004543
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
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-
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Out[53]:
-
-
-
-
-
-
-
-
-
- educationType
- salary
-
-
-
-
- 0
- Высшее
- 33826.008009
-
-
- 1
- Незаконченное высшее
- 29171.382643
-
-
- 2
- Среднее
- 24958.723963
-
-
- 3
- Среднее профессиональное
- 25834.460409
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
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Out[67]:
-
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-
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-
-
array([[<AxesSubplot:title={'center':'salary'}>]], dtype=object)
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Out[68]:
-
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-
-
-
-
array([[<AxesSubplot:title={'center':'salary'}>]], dtype=object)
-
-
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Out[69]:
-
-
-
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-
-
array([[<AxesSubplot:title={'center':'salary'}>]], dtype=object)
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Out[70]:
-
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-
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-
-
array([[<AxesSubplot:title={'center':'salary'}>]], dtype=object)
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Out[71]:
-
-
-
-
-
-
array([[<AxesSubplot:title={'center':'salary'}>]], dtype=object)
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
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-
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-
-
Out[72]:
-
-
-
-
-
-
array([[<AxesSubplot:title={'center':'salary'}>]], dtype=object)
-
-
-
-
-
-
-
-
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-
-
-
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-
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-
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-
-
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-
-
Out[73]:
-
-
-
-
-
-
array([[<AxesSubplot:title={'center':'salary'}>]], dtype=object)
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
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-
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-
-
-
-
Out[74]:
-
-
-
-
-
-
array([[<AxesSubplot:title={'center':'salary'}>]], dtype=object)
-
-
-
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-
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-
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Out[129]:
-
-
-
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-
-
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-
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-
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Out[130]:
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-
-
-
-
-
-
-
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-
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-
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-
-
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-
-
-
-
-
-
Out[131]:
-
-
-
-
-
-
бакалавр 96
-экономист 85
-менеджер 79
-юрист 41
-инженер 37
-Name: qualification, dtype: int64
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Out[132]:
-
-
-
-
-
-
инженер 25
-главный инженер 23
-директор 21
-менеджер 13
-водитель 11
-Name: jobTitle, dtype: int64
-
-
-
-
-
-
-
-
-
-
-
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " salary \n",
+ " educationType \n",
+ " jobTitle \n",
+ " qualification \n",
+ " gender \n",
+ " dateModify \n",
+ " skills \n",
+ " otherInfo \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " 0 \n",
+ " 60000 \n",
+ " Высшее \n",
+ " Специалист пресс-службы \n",
+ " Магистр \n",
+ " Мужской \n",
+ " 2021-04-01 \n",
+ " <p>Аналитическое мышление, <span cla... \n",
+ " NaN \n",
+ " \n",
+ " \n",
+ " 1 \n",
+ " 85000 \n",
+ " Высшее \n",
+ " менеджер проектов \n",
+ " NaN \n",
+ " Мужской \n",
+ " 2021-04-01 \n",
+ " NaN \n",
+ " NaN \n",
+ " \n",
+ " \n",
+ " 2 \n",
+ " 15000 \n",
+ " Среднее профессиональное \n",
+ " .... \n",
+ " NaN \n",
+ " Женский \n",
+ " 2021-06-01 \n",
+ " NaN \n",
+ " NaN \n",
+ " \n",
+ " \n",
+ " 3 \n",
+ " 30000 \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " Женский \n",
+ " 2021-04-03 \n",
+ " NaN \n",
+ " NaN \n",
+ " \n",
+ " \n",
+ " 4 \n",
+ " 45000 \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " Мужской \n",
+ " 2021-06-28 \n",
+ " NaN \n",
+ " NaN \n",
+ " \n",
+ " \n",
+ "
\n",
+ "
Аналитическое мышление, \n",
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " salary \n",
+ " educationType \n",
+ " jobTitle \n",
+ " qualification \n",
+ " gender \n",
+ " dateModify \n",
+ " skills \n",
+ " otherInfo \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " 32678 \n",
+ " 15000 \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " Женский \n",
+ " 2021-06-23 \n",
+ " NaN \n",
+ " NaN \n",
+ " \n",
+ " \n",
+ " 32679 \n",
+ " 13000 \n",
+ " Среднее \n",
+ " уборщица \n",
+ " NaN \n",
+ " Женский \n",
+ " 2021-07-29 \n",
+ " NaN \n",
+ " NaN \n",
+ " \n",
+ " \n",
+ " 32680 \n",
+ " 16000 \n",
+ " Среднее профессиональное \n",
+ " кочегар машинист котельной \n",
+ " NaN \n",
+ " Мужской \n",
+ " 2021-11-11 \n",
+ " NaN \n",
+ " NaN \n",
+ " \n",
+ " \n",
+ " 32681 \n",
+ " 35000 \n",
+ " Высшее \n",
+ " NaN \n",
+ " NaN \n",
+ " Мужской \n",
+ " 2020-04-21 \n",
+ " NaN \n",
+ " NaN \n",
+ " \n",
+ " \n",
+ " 32682 \n",
+ " 30000 \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " Мужской \n",
+ " 2021-06-20 \n",
+ " NaN \n",
+ " NaN \n",
+ " \n",
+ " \n",
+ "
\n",
+ ""
+ ],
+ "text/plain": [
+ " salary educationType jobTitle \\\n",
+ "32678 15000 NaN NaN \n",
+ "32679 13000 Среднее уборщица \n",
+ "32680 16000 Среднее профессиональное кочегар машинист котельной \n",
+ "32681 35000 Высшее NaN \n",
+ "32682 30000 NaN NaN \n",
+ "\n",
+ " qualification gender dateModify skills otherInfo \n",
+ "32678 NaN Женский 2021-06-23 NaN NaN \n",
+ "32679 NaN Женский 2021-07-29 NaN NaN \n",
+ "32680 NaN Мужской 2021-11-11 NaN NaN \n",
+ "32681 NaN Мужской 2020-04-21 NaN NaN \n",
+ "32682 NaN Мужской 2021-06-20 NaN NaN "
+ ]
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "works.tail()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "6c34cdb0",
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
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+ "Data columns (total 8 columns):\n",
+ " # Column Non-Null Count Dtype \n",
+ "--- ------ -------------- ----- \n",
+ " 0 salary 32683 non-null int64 \n",
+ " 1 educationType 24750 non-null object\n",
+ " 2 jobTitle 20259 non-null object\n",
+ " 3 qualification 12176 non-null object\n",
+ " 4 gender 31296 non-null object\n",
+ " 5 dateModify 32682 non-null object\n",
+ " 6 skills 8972 non-null object\n",
+ " 7 otherInfo 2316 non-null object\n",
+ "dtypes: int64(1), object(7)\n",
+ "memory usage: 2.0+ MB\n"
+ ]
+ }
+ ],
+ "source": [
+ "works.info()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "82afc0e2",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
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\n",
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\n",
+ "RangeIndex: 32683 entries, 0 to 32682\n",
+ "Data columns (total 8 columns):\n",
+ " # Column Non-Null Count Dtype \n",
+ "--- ------ -------------- ----- \n",
+ " 0 salary 32683 non-null int64 \n",
+ " 1 educationType 24750 non-null object\n",
+ " 2 jobTitle 20259 non-null object\n",
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+ " 4 gender 31296 non-null object\n",
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+ " 6 skills 8972 non-null object\n",
+ " 7 otherInfo 2316 non-null object\n",
+ "dtypes: int64(1), object(7)\n",
+ "memory usage: 2.0+ MB\n"
+ ]
+ }
+ ],
+ "source": [
+ "works.info()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "id": "4eda4034",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "8972"
+ ]
+ },
+ "execution_count": 19,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "works['skills'].dropna().shape[0]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7f5b06ae",
+ "metadata": {},
+ "source": [
+ "### 4.Получить все заполненные скиллы"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "id": "259c62c7",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "0 Аналитическое мышление, Коммуникабельность
\n",
+ "13 Ответственность в работе
\n",
+ "21 Усидчивость, умение удерживать в памяти нуж...\n",
+ " ... \n",
+ "32665
Отвественность
Исполнительность
Высокая работоспособность, нацеленность на ...\n",
+ "32672 исполнительный
\n",
+ "32674 Нацелен на результат. Считаю себя командным...\n",
+ "32675
трудоспособен
\n",
+ "Name: skills, Length: 8972, dtype: object"
+ ]
+ },
+ "execution_count": 20,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "works[works['skills'].notna()]['skills']"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "id": "1ce949ee",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "0 Аналитическое мышление, Коммуникабельность
\n",
+ "13 Ответственность в работе
\n",
+ "21 Усидчивость, умение удерживать в памяти нуж...\n",
+ " ... \n",
+ "32665
Отвественность
Исполнительность
Высокая работоспособность, нацеленность на ...\n",
+ "32672 исполнительный
\n",
+ "32674 Нацелен на результат. Считаю себя командным...\n",
+ "32675
трудоспособен
\n",
+ "Name: skills, Length: 8972, dtype: object"
+ ]
+ },
+ "execution_count": 21,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "works['skills'].dropna()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "id": "5befcb30",
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "0 Аналитическое мышление, Коммуникабельность
\n",
+ "13 Ответственность в работе
\n",
+ "21 Усидчивость, умение удерживать в памяти нуж...\n",
+ " ... \n",
+ "32665
Отвественность
Исполнительность
Высокая работоспособность, нацеленность на ...\n",
+ "32672 исполнительный
\n",
+ "32674 Нацелен на результат. Считаю себя командным...\n",
+ "32675
трудоспособен
\n",
+ "Name: skills, Length: 8972, dtype: object"
+ ]
+ },
+ "execution_count": 22,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "works.query(\"skills == skills\")[\"skills\"]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "id": "57a7d960",
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " salary \n",
+ " educationType \n",
+ " jobTitle \n",
+ " qualification \n",
+ " gender \n",
+ " dateModify \n",
+ " skills \n",
+ " otherInfo \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " 869 \n",
+ " 22000 \n",
+ " Среднее профессиональное \n",
+ " бухгалтер \n",
+ " NaN \n",
+ " Женский \n",
+ " 2021-03-15 \n",
+ " <p>ответственность</p> \n",
+ " NaN \n",
+ " \n",
+ " \n",
+ " 1124 \n",
+ " 22000 \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
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+ " 2021-09-11 \n",
+ " NaN \n",
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+ " NaN \n",
+ " NaN \n",
+ " \n",
+ " \n",
+ " 1547 \n",
+ " 22000 \n",
+ " Среднее профессиональное \n",
+ " продавец \n",
+ " NaN \n",
+ " Женский \n",
+ " 2021-06-26 \n",
+ " <p>общительность, умение распологать людей к с... \n",
+ " NaN \n",
+ " \n",
+ " \n",
+ " 2035 \n",
+ " 22000 \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " Женский \n",
+ " 2021-09-18 \n",
+ " NaN \n",
+ " NaN \n",
+ " \n",
+ " \n",
+ " ... \n",
+ " ... \n",
+ " ... \n",
+ " ... \n",
+ " ... \n",
+ " ... \n",
+ " ... \n",
+ " ... \n",
+ " ... \n",
+ " \n",
+ " \n",
+ " 30302 \n",
+ " 22000 \n",
+ " Среднее \n",
+ " Штукатур \n",
+ " NaN \n",
+ " Женский \n",
+ " 2021-06-11 \n",
+ " <p>Исполнительность.</p> \n",
+ " NaN \n",
+ " \n",
+ " \n",
+ " 30630 \n",
+ " 22000 \n",
+ " Среднее \n",
+ " NaN \n",
+ " NaN \n",
+ " Женский \n",
+ " 2021-04-27 \n",
+ " NaN \n",
+ " NaN \n",
+ " \n",
+ " \n",
+ " 31206 \n",
+ " 22000 \n",
+ " Среднее профессиональное \n",
+ " Продавец- универсал \n",
+ " Мастер производственного обучения \n",
+ " Женский \n",
+ " 2021-11-23 \n",
+ " NaN \n",
+ " NaN \n",
+ " \n",
+ " \n",
+ " 31807 \n",
+ " 22000 \n",
+ " Высшее \n",
+ " Бухгалтер \n",
+ " NaN \n",
+ " Женский \n",
+ " 2021-11-10 \n",
+ " NaN \n",
+ " Резюме было сгенерировано автоматически на осн... \n",
+ " \n",
+ " \n",
+ " 32417 \n",
+ " 22000 \n",
+ " Среднее \n",
+ " NaN \n",
+ " NaN \n",
+ " Женский \n",
+ " 2021-07-21 \n",
+ " NaN \n",
+ " NaN \n",
+ " \n",
+ " \n",
+ "
\n",
+ "
85 rows × 8 columns
\n",
+ "
ответственность
\n",
+ "1124 NaN \n",
+ "1207 NaN \n",
+ "1547 общительность, умение распологать людей к с... \n",
+ "2035 NaN \n",
+ "... ... \n",
+ "30302
Исполнительность.
\n",
+ "30630 NaN \n",
+ "31206 NaN \n",
+ "31807 NaN \n",
+ "32417 NaN \n",
+ "\n",
+ " otherInfo \n",
+ "869 NaN \n",
+ "1124 NaN \n",
+ "1207 NaN \n",
+ "1547 NaN \n",
+ "2035 NaN \n",
+ "... ... \n",
+ "30302 NaN \n",
+ "30630 NaN \n",
+ "31206 NaN \n",
+ "31807 Резюме было сгенерировано автоматически на осн... \n",
+ "32417 NaN \n",
+ "\n",
+ "[85 rows x 8 columns]"
+ ]
+ },
+ "execution_count": 23,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "a = 22000\n",
+ "b = 'Женский'\n",
+ "works.query('salary == @a and gender == @b')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "b130dbfa",
+ "metadata": {},
+ "source": [
+ "### 5.Вывести зарплату только у тех, у которых в скиллах есть Python (Питон)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "id": "0b214c52",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "df = works.skills.dropna().str.lower().str.contains('python|питон')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 27,
+ "id": "ac058ac1",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "230 35000\n",
+ "334 20000\n",
+ "2394 35000\n",
+ "8096 15000\n",
+ "9014 25000\n",
+ "9667 90000\n",
+ "20930 30000\n",
+ "22530 50000\n",
+ "28286 23000\n",
+ "30430 23000\n",
+ "Name: salary, dtype: int64"
+ ]
+ },
+ "execution_count": 27,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "works[works.skills.notna()][df]['salary']"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7260244d",
+ "metadata": {},
+ "source": [
+ "### 6.Построить перцентили по заработной плате у мужчин и женщин"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 29,
+ "id": "c6482610",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1. ])"
+ ]
+ },
+ "execution_count": 29,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "percentiles = np.linspace(.1, 1, 10)\n",
+ "percentiles"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "id": "1ddcce76",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
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\n",
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+ "
\n",
+ "
"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.figure(figsize=(10, 5))\n",
+ "plt.title('Перцентили по заработной плате у мужчин') \n",
+ "plt.xlabel('Перцентили') \n",
+ "plt.ylabel('Зарплата') \n",
+ "plt.grid()\n",
+ "plt.plot(men_salary)\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 34,
+ "id": "30960f85",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
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+ " \n",
+ " \n",
+ " salary \n",
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+ " \n",
+ " 0.1 \n",
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+ " \n",
+ " \n",
+ " 0.6 \n",
+ " 30000.0 \n",
+ " \n",
+ " \n",
+ " 0.7 \n",
+ " 30000.0 \n",
+ " \n",
+ " \n",
+ " 0.8 \n",
+ " 35000.0 \n",
+ " \n",
+ " \n",
+ " 0.9 \n",
+ " 47000.0 \n",
+ " \n",
+ " \n",
+ " 1.0 \n",
+ " 900000.0 \n",
+ " \n",
+ " \n",
+ "
\n",
+ "
"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.figure(figsize=(10, 5))\n",
+ "plt.title('Перцентили по заработной плате у женщин') \n",
+ "plt.xlabel('Перцентили') \n",
+ "plt.ylabel('Зарплата') \n",
+ "plt.grid()\n",
+ "plt.plot(wom_salary)\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "11a0f276",
+ "metadata": {},
+ "source": [
+ "### 7.Построить графики распределения по заработной плате мужчин и женщин в зависимости от высшего образования"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 51,
+ "id": "c4bb20c7",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
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+ " 48551.775767 \n",
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+ " 1 \n",
+ " Незаконченное высшее \n",
+ " 47691.925287 \n",
+ " \n",
+ " \n",
+ " 2 \n",
+ " Среднее \n",
+ " 32519.767707 \n",
+ " \n",
+ " \n",
+ " 3 \n",
+ " Среднее профессиональное \n",
+ " 35329.004543 \n",
+ " \n",
+ " \n",
+ "
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+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " educationType \n",
+ " salary \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " 0 \n",
+ " Высшее \n",
+ " 33826.008009 \n",
+ " \n",
+ " \n",
+ " 1 \n",
+ " Незаконченное высшее \n",
+ " 29171.382643 \n",
+ " \n",
+ " \n",
+ " 2 \n",
+ " Среднее \n",
+ " 24958.723963 \n",
+ " \n",
+ " \n",
+ " 3 \n",
+ " Среднее профессиональное \n",
+ " 25834.460409 \n",
+ " \n",
+ " \n",
+ "
\n",
+ "
"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "education = men_salary['educationType'].values\n",
+ "men = men_salary['salary'].values\n",
+ "wom = wom_salary['salary'].values\n",
+ "index = np.arange(len(education))\n",
+ "\n",
+ "plt.bar(index-0.2, men, width = 0.4, color='b', label = 'Средняя зарплата мужчин')\n",
+ "plt.bar(index+0.2, wom, width = 0.4, color='r', label = 'Средняя зарплата женщин')\n",
+ "plt.xticks(index, education, rotation = 45)\n",
+ "plt.legend()\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7056f86d",
+ "metadata": {},
+ "source": [
+ "#### графики распределения по заработной плате мужчин в зависимости от высшего образования"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 67,
+ "id": "a1ee65e6",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[]], dtype=object)"
+ ]
+ },
+ "execution_count": 67,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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Mt30Qg4TDIMc/GSEz6nOM4o3Sn2Y0TKmq4R80+RFgS1X9ZPf8bcCrq+odfX22A9u7py8DDi7ilGcBX1rE/itNa/WCNbfCmufnW6rqJYN0HNXMPjO0Peddpap2AbuGcrLkzqqaGMaxVoLW6gVrboU1j86oPnp5BDi37/k5wEMjOpckaQ6jCvtPApuSnJfkhcBWYO+IziVJmsNIlnGq6qkk7wA+Ru+jlx+oqgOjOFdnKMtBK0hr9YI1t8KaR2QkF2glScuLt0uQpAYY9pLUgBUd9km2JDmY5FCSHUs9nrkk+UCSo0nu7mtbl+S2JPd1j2v7Xrumq+1gkkv72i9Kclf32h8mSde+OslHuvZ/TrKxb59t3TnuS7LtJJVMknOTfDzJvUkOJHnnuNed5EVJ7kjyma7mXxv3mrvzrkryqSQ3t1Bvd+7D3Xg/neTOrm151l1VK/IPvQu/nwe+FXgh8Bng/KUe1xxj/j7gu4G7+9p+G9jRbe8AfqvbPr+raTVwXlfrqu61O4DX0vs+w63AD3Xtbwfe121vBT7Sba8DvtA9ru22156kmjcA391tnw78a1fb2NbdjW9Nt30q8M/Aa8a55u7cPwd8CLi5hf/b3fkPA2cd17Ys6z4pfyEj+kt+LfCxvufXANcs9bgGGPdGnhv2B4EN3fYG4OBM9dD7ZNNruz6f62t/C/D+/j7d9in0vpWX/j7da+8H3rJE9d9E755JTdQNfAPwL8Crx7lmet+l2Qe8nmfDfmzr7TvfYZ4f9suy7pW8jHM28MW+50e6tpVmfVU9DNA9vrRrn62+s7vt49ufs09VPQU8BnzTCY51UnU/gn4XvZnuWNfdLWl8GjgK3FZV417z7wO/CHytr22c6/26Av42yf70bgEDy7TulXw/+zlvybDCzVbfiepeyD4nRZI1wF8B76qqx7slyRm7ztC24uquqqeBVyU5E/hoklecoPuKrjnJG4GjVbU/yeQgu8zQtmLqPc7rquqhJC8FbkvyuRP0XdK6V/LMflxuyfBIkg0A3ePRrn22+o5028e3P2efJKcAZwBfPsGxTookp9IL+r+oqr/umse+boCqehSYBrYwvjW/DvjhJIeBKeD1SW5gfOt9RlU91D0eBT5K746/y7Puk7W2NYK1slPoXZQ4j2cv0F6w1OMaYNwbee6a/e/w3Is5v91tX8BzL+Z8gWcv5nyS3gW/r1/MeUPXfjXPvZizp9teB9xP70LO2m573UmqN8CfAb9/XPvY1g28BDiz234x8A/AG8e55r7aJ3l2zX6s6wVOA07v2/4nem/qy7Luk/IfYIR/2W+g9+mOzwO/vNTjGWC8HwYeBv6P3jvzVfTW3/YB93WP6/r6/3JX20G6q/Nd+wRwd/fadTz7TegXAX8JHKJ3df9b+/b5ia79EPDjJ7Hm76X34+VngU93f94wznUD3wl8qqv5buBXuvaxrbnv3JM8G/ZjXS+9TwJ+pvtzgC6Dlmvd3i5BkhqwktfsJUkDMuwlqQGGvSQ1wLCXpAYY9pLUAMNekhpg2EtSA/4fa4y85JOYu9kAAAAASUVORK5CYII=\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "works.query('gender == \"Мужской\" and educationType == \"Высшее\"').hist(bins = 100)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 68,
+ "id": "edaeac27",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[]], dtype=object)"
+ ]
+ },
+ "execution_count": 68,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "works.query('gender == \"Мужской\" and educationType == \"Незаконченное высшее\"').hist(bins = 100)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 69,
+ "id": "c7ef07b0",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[]], dtype=object)"
+ ]
+ },
+ "execution_count": 69,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "works.query('gender == \"Мужской\" and educationType == \"Среднее\"').hist(bins = 100)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 70,
+ "id": "fb57707b",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[]], dtype=object)"
+ ]
+ },
+ "execution_count": 70,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "works.query('gender == \"Мужской\" and educationType == \"Среднее профессиональное\"').hist(bins = 100)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "cd1dabda",
+ "metadata": {},
+ "source": [
+ "#### графики распределения по заработной плате мужчин в зависимости от высшего образования"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 71,
+ "id": "9aab62f2",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[]], dtype=object)"
+ ]
+ },
+ "execution_count": 71,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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wQ0CSGmYISFLDDAFJapghIEkNGzgEkpyW5NYkDyTZneT9XfvJSW5J8mD3vrxvzFVJ9ibZk+SCI1GAJGlwwxwJHAI+WFW/DJwLXJlkLbAJ2FlVa4Cd3We6deuBM4B1wDVJlgwzeUnScE4YdGBVPQE80S0/neQBYCVwETDVddsKTAMf6tq3VdUzwMNJ9gLnALcNOofFtnrTTYs9BUkaSqpq+I0kq4GvAWcCj1TVSX3rvl9Vy5N8Eri9qq7r2q8Fbq6qG2bZ3kZgI8DExMTZ27ZtG2heBw8eZNmyZS9qv/expwba3kKdtfLEo7r9w5mr5nFmzeOvtXph+JrPO++8XVU1OV+/gY8EnpNkGfCXwAeq6odJ5uw6S9usCVRVW4AtAJOTkzU1NTXQ3Kanp5lt7OVH+Tf4fZe9eJ+jMlfN48yax19r9cLoah7q7qAkL6MXAJ+vqi91zU8mWdGtXwEc6Nr3A6f1DV8FPD7M/iVJwxnm7qAA1wIPVNV/71u1A9jQLW8AbuxrX59kaZLTgTXAnYPuX5I0vGFOB70ZeCdwb5J7urbfB64Gtie5AngEuASgqnYn2Q7cT+/Ooiur6tkh9i9JGtIwdwf9H2Y/zw9w/hxjNgObB93n8aj/DqJ9V1+4iDORpBfziWFJapghIEkNMwQkqWGGgCQ1zBCQpIYZApLUMENAkhpmCEhSwwwBSWqYISBJDRv6q6Q1mJl/kMavlJC0GDwSkKSGGQKS1DBDQJIaZghIUsMMAUlqWDN3B828G0eS1FAIHE/8a2SSRsUQGAP9ofHZda9exJlIOt54TUCSGmYISFLDDAFJathYXxO497GnuNy7giRpTmMdAovF21ElHS88HSRJDTMEJKlhng4aIU8TSTrWjDwEkqwDPg4sAf6sqq4e9RyORQsJiGPtSeJjbT6SXrqRng5KsgT4E+A3gbXApUnWjnIOkqTnjfpI4Bxgb1U9BJBkG3ARcP+I53HcOBqnkOb6Df6lth/t/S50Wy18VcbM/wct1KzRSFWNbmfJvwXWVdW/7z6/E3hjVb13Rr+NwMbu4+uBPQPu8hTguwOOPV5Zcxtaq7m1emH4mn++ql43X6dRHwlklrYXpVBVbQG2DL2z5K6qmhx2O8cTa25DazW3Vi+MruZR3yK6Hzit7/Mq4PERz0GS1Bl1CPwNsCbJ6UleDqwHdox4DpKkzkhPB1XVoSTvBf6K3i2in6mq3Udxl0OfUjoOWXMbWqu5tXphRDWP9MKwJOnY4tdGSFLDDAFJathYhkCSdUn2JNmbZNNiz2chknwmyYEk9/W1nZzkliQPdu/L+9Zd1dW3J8kFfe1nJ7m3W/eJJOnalyb5Ytd+R5LVfWM2dPt4MMmGEdV7WpJbkzyQZHeS9zdQ8yuS3Jnk613N/3nca+7b95Ikdyf5Svd5rGtOsq+b6z1J7jqma66qsXrRu+D8LeAXgJcDXwfWLva8FjDv3wDeANzX1/ZHwKZueRPwh93y2q6upcDpXb1LunV3Am+i90zGzcBvdu3vAf60W14PfLFbPhl4qHtf3i0vH0G9K4A3dMuvAf6uq2ucaw6wrFt+GXAHcO4419xX+38EvgB8Zdz/b3f73gecMqPtmKx5JP8BRvnq/sH+qu/zVcBViz2vBc59NS8MgT3Aim55BbBntpro3W31pq7PN/vaLwU+3d+nWz6B3pOI6e/Trfs0cOki1H4j8G9aqRl4FfC3wBvHvWZ6zwPtBN7C8yEw7jXv48UhcEzWPI6ng1YCj/Z93t+1HY8mquoJgO791K59rhpXdssz218wpqoOAU8B/+Qw2xqZ7lD2n9P7zXisa+5Oi9wDHABuqaqxrxn4GPB7wE/72sa95gK+mmRXel+DA8dozeP49wQW9NUUx7m5ajxc7YOMOeqSLAP+EvhAVf2wO+U5a9dZ2o67mqvqWeDXkpwEfDnJmYfpftzXnORtwIGq2pVkaiFDZmk7rmruvLmqHk9yKnBLkm8epu+i1jyORwLj9NUUTyZZAdC9H+ja56pxf7c8s/0FY5KcAJwIfO8w2zrqkryMXgB8vqq+1DWPdc3PqaofANPAOsa75jcDb0+yD9gGvCXJdYx3zVTV4937AeDL9L5B+diseRTnx0b5ond08xC9CyzPXRg+Y7HntcC5r+aF1wT+mBdeSPqjbvkMXngh6SGev5D0N/QuNj53IemtXfuVvPBC0vZu+WTgYXoXkZZ3yyePoNYAnwM+NqN9nGt+HXBSt/xK4H8DbxvnmmfUP8Xz1wTGtmbg1cBr+pb/L72wPyZrHtl/gBH/Z3srvbtNvgV8eLHns8A5Xw88AfyEXppfQe8c307gwe795L7+H+7q20N3x0DXPgnc1637JM8/Ff4K4C+AvfTuOPiFvjG/3bXvBX5rRPX+Or3D1G8A93Svt455zb8C3N3VfB/wB1372NY8o/4png+Bsa2Z3p2JX+9eu+l+Bh2rNfu1EZLUsHG8JiBJWiBDQJIaZghIUsMMAUlqmCEgSQ0zBCSpYYaAJDXs/wPGRZ8yCY/ImwAAAABJRU5ErkJggg==\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "works.query('gender == \"Женский\" and educationType == \"Высшее\"').hist(bins = 100)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 72,
+ "id": "c20710f9",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[]], dtype=object)"
+ ]
+ },
+ "execution_count": 72,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "works.query('gender == \"Женский\" and educationType == \"Незаконченное высшее\"').hist(bins = 100)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 73,
+ "id": "dda99b26",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[]], dtype=object)"
+ ]
+ },
+ "execution_count": 73,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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ftP2zwHuALZJWAFuBfbaXA/uq+1SPbQBuBNYB90qaNxPFR0REY6YMe9snbX+9Wn4VeA5YAqwHdlXTdgG3VsvrgSHb52wfAUaA1W2uOyIimtDUOXtJfcC7gCeAXtsnofaCAFxfTVsCvFS32rFqLCIiZolsNzZR6gH+J7DN9pclnbW9oO7xM7YXSroHeMz2fdX4TuCrtr80bnubgc0Avb29q4aGhlpuYnR0lJ6enobnHzz+8sXllUuubWq8Xv2cdmi2j06WXjpPt/QB6WXM4ODgAdv9jcy9opFJkq4EvgR83vaXq+FTkhbbPilpMXC6Gj8GLKtbfSlwYvw2be8AdgD09/d7YGCgkVImNDw8TDPr37H14YvLR28faGq8Xv2cdmi2j06WXjpPt/QB6aUVjbwbR8BO4Dnb/7XuoT3Axmp5I/BQ3fgGSfMl3QAsB/a3r+SIiGhWI0f27wU+DByU9FQ19pvAdmC3pE3Ai8BtALYPSdoNPEvtnTxbbF9od+EREdG4KcPe9v8GNMnDayZZZxuwbRp1RUREG+UTtBERBUjYR0QUIGEfEVGAhH1ERAES9hERBUjYR0QUIGEfEVGAhr4uoRv0TfKVBxERJSgm7Gda/YvJ0e23zGIlERFvlNM4EREFSNhHRBQgYR8RUYCEfUREARL2EREFSNhHRBQgYR8RUYC8z36G5f33EdEJig/7fLI2IkqQ0zgREQVI2EdEFCBhHxFRgCnDXtJnJZ2W9Ezd2CJJeyU9X90urHvsTkkjkg5LWjtThUdEROMaObL/U2DduLGtwD7by4F91X0krQA2ADdW69wraV7bqo2IiJZMGfa2/wr4/rjh9cCuankXcGvd+JDtc7aPACPA6vaUGhERrWr1nH2v7ZMA1e311fgS4KW6eceqsYiImEWyPfUkqQ/4iu13VPfP2l5Q9/gZ2wsl3QM8Zvu+anwn8FXbX5pgm5uBzQC9vb2rhoaGWm5idHSUnp6eS845ePzlpra5csm1U6472ZxGxifSSB9zRXrpPN3SB6SXMYODgwds9zcyt9UPVZ2StNj2SUmLgdPV+DFgWd28pcCJiTZgewewA6C/v98DAwMtlgLDw8NMtf4dTX546ujtP97eZOtONqeR8Yk00sdckV46T7f0AemlFa2extkDbKyWNwIP1Y1vkDRf0g3AcmD/9EqMiIjpmvLIXtIXgQHgOknHgP8AbAd2S9oEvAjcBmD7kKTdwLPAeWCL7QszVHtERDRoyrC3/cFJHlozyfxtwLbpFBUREe2VT9BGRBSg+G+97ARj37z5yZXnGZjdUiKiS+XIPiKiAAn7iIgCJOwjIgqQsI+IKEDCPiKiAAn7iIgCJOwjIgqQsI+IKEDCPiKiAAn7iIgC5OsSLqO++u+2337LLFYSEaXpirA/ePzli38kpF0h2tfkHzuJiOhkOY0TEVGAhH1ERAES9hERBeiKc/YlyMXdiJiOHNlHRBQgYR8RUYCEfUREAbr6nH3eKx8RUTNjYS9pHfBpYB7wGdvbZ+q5ZstkLyad8iIzWxd1+7Y+zCdXnueOrQ/nYnJEh5iRsJc0D7gH+CXgGPA1SXtsPzsTz1evU4K2Hbqpl4iYXTN1ZL8aGLH9AoCkIWA9MONhP1e067eCVl4QJlun/ii82TmdcATfznrqt/Wn666e1rZm21gvn1x5noHZLaUtuuE3x9n49yXb7d+o9C+Bdbb/TXX/w8DP2f5o3ZzNwObq7tuBw9N4yuuA705j/U7RLX1AeulE3dIHpJcxP2X7rY1MnKkje00w9rpXFds7gB1teTLpSdv97djWbOqWPiC9dKJu6QPSSytm6q2Xx4BldfeXAidm6LkiImIKMxX2XwOWS7pB0lXABmDPDD1XRERMYUZO49g+L+mjwF9Qe+vlZ20fmonnqrTldFAH6JY+IL10om7pA9JL02bkAm1ERHSWfF1CREQBEvYREQWY02EvaZ2kw5JGJG2d7XrGSDoq6aCkpyQ9WY0tkrRX0vPV7cK6+XdWPRyWtLZufFW1nRFJfyBJ1fh8SfdX409I6mtj7Z+VdFrSM3Vjl6V2SRur53he0sYZ6uUuScerffOUpJs7vRdJyyQ9Kuk5SYckfbwan3P75RK9zMX98mZJ+yV9s+rld6rxztwvtufkD7ULv98G3gZcBXwTWDHbdVW1HQWuGzf2e8DWankr8LvV8oqq9vnADVVP86rH9gM/T+1zC48A76/GPwL8UbW8Abi/jbW/D3g38MzlrB1YBLxQ3S6slhfOQC93AZ+aYG7H9gIsBt5dLV8D/N+q3jm3Xy7Ry1zcLwJ6quUrgSeA93TqfpnLR/YXv5LB9g+Bsa9k6FTrgV3V8i7g1rrxIdvnbB8BRoDVkhYDb7H9mGt793Pj1hnb1gPAmrEjgemy/VfA92eh9rXAXtvft30G2Ausm4FeJtOxvdg+afvr1fKrwHPAEubgfrlEL5Pp5F5se7S6e2X1Yzp0v8zlsF8CvFR3/xiX/kdzORn4H5IOqPa1EAC9tk9C7R88cH01PlkfS6rl8eOvW8f2eeBl4CdnoI8xl6P2y7k/PyrpadVO84z9ij0neql+jX8XtaPIOb1fxvUCc3C/SJon6SngNLXw7dj9MpfDfsqvZJhF77X9buD9wBZJ77vE3Mn6uFR/ndJ7O2u/XD39IfAPgJuAk8DvT6Ouy9qLpB7gS8AnbL9yqakt1DXbvczJ/WL7gu2bqH1LwGpJ77jE9FntZS6Hfcd+JYPtE9XtaeBBaqecTlW/rlHdnq6mT9bHsWp5/Pjr1pF0BXAtjZ+uaMXlqP2y7E/bp6r/oD8C/oTavnldXeOevyN6kXQltXD8vO0vV8Nzcr9M1Mtc3S9jbJ8FhqmdSunM/dLqxYnZ/qH26d8XqF3oGLtAe2MH1HU1cE3d8v+p/gH8F15/0eb3quUbef1Fmxf48UWbr1G74DN20ebmanwLr79os7vNPfTx+ouaM147tQtNR6hdbFpYLS+agV4W1y3/OrVzqB3dS/W8nwP+27jxObdfLtHLXNwvbwUWVMs/Afwv4AOdul9mNRin+wPcTO1q/reB35rteqqa3lbt0G8Ch8bqonaebR/wfHW7qG6d36p6OEx1Fb4a7weeqR67mx9/4vnNwH+ndoFnP/C2Ntb/RWq/Rv8/akcPmy5X7cCvVuMjwK/MUC9/BhwEnqb2fU2LO70X4Beo/Yr+NPBU9XPzXNwvl+hlLu6XfwR8o6r5GeC3L+f/9WZ7ydclREQUYC6fs4+IiAYl7CMiCpCwj4goQMI+IqIACfuIiAIk7CMiCpCwj4gowP8HoAfgnGmsvYgAAAAASUVORK5CYII=\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "works.query('gender == \"Женский\" and educationType == \"Среднее\"').hist(bins = 100)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 74,
+ "id": "d00948f7",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[]], dtype=object)"
+ ]
+ },
+ "execution_count": 74,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "works.query('gender == \"Женский\" and educationType == \"Среднее профессиональное\"').hist(bins = 100)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "6381d346",
+ "metadata": {},
+ "source": [
+ "# 8.ДЗ"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "eb25fdcb",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# подготовка данных\n",
+ "worksnew = works[works['jobTitle'].notna()]\n",
+ "works = worksnew[worksnew['qualification'].notna()]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 129,
+ "id": "ae61bfbc",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "10130"
+ ]
+ },
+ "execution_count": 129,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# количество с профессией\n",
+ "works.shape[0]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "a8c027c7",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# сравнивает входит ли одно слово в другое\n",
+ "def compare(profession, other):\n",
+ " for i in profession.lower().replace('-', ' ').split():\n",
+ " if i in other.lower():\n",
+ " return True\n",
+ " return False"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 130,
+ "id": "738a4f71",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "7714"
+ ]
+ },
+ "execution_count": 130,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# количество у кого не совпадает профессия и должность\n",
+ "answer = 0\n",
+ "for (job, qualification) in zip(works[\"jobTitle\"], works[\"qualification\"]):\n",
+ " if not compare(job, qualification) and not compare(qualification, job):\n",
+ " answer += 1\n",
+ "answer"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 131,
+ "id": "115928c8",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "бакалавр 96\n",
+ "экономист 85\n",
+ "менеджер 79\n",
+ "юрист 41\n",
+ "инженер 37\n",
+ "Name: qualification, dtype: int64"
+ ]
+ },
+ "execution_count": 131,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Люди с каким образованием становятся менеджерами (топ-5)\n",
+ "worksjob = works[works[\"jobTitle\"].str.lower().str.contains(\"менеджер\")]\n",
+ "worksjob[\"qualification\"].str.lower().value_counts().head(5)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 132,
+ "id": "ca9b0cb0",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "инженер 25\n",
+ "главный инженер 23\n",
+ "директор 21\n",
+ "менеджер 13\n",
+ "водитель 11\n",
+ "Name: jobTitle, dtype: int64"
+ ]
+ },
+ "execution_count": 132,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Кем работают люди, которые по диплому являются инженерами (топ-5)\n",
+ "worksjob = works[works[\"qualification\"].str.lower().str.contains(\"инженер\")]\n",
+ "worksjob[\"jobTitle\"].str.lower().value_counts().head(5)"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.8"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
From f2d0c315d11bc6c5b6f0dffed0955c2f26de5e71 Mon Sep 17 00:00:00 2001
From: NastyaBay <93851988+NastyaBay@users.noreply.github.com>
Date: Sat, 11 Dec 2021 13:42:45 +0500
Subject: [PATCH 5/5] =?UTF-8?q?Delete=20=D0=97=D0=B0=D0=B4=D0=B0=D1=87?=
=?UTF-8?q?=D0=B8.html?=
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deleted file mode 100644
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- 2020-04-21
- NaN
- NaN
-
-
- 32682
- 30000
- NaN
- NaN
- NaN
- Мужской
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- NaN
- NaN
-
-
-
-
-
-
-
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-
-
-
-
-
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-
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-
-
<class 'pandas.core.frame.DataFrame'>
-RangeIndex: 32683 entries, 0 to 32682
-Data columns (total 8 columns):
- # Column Non-Null Count Dtype
---- ------ -------------- -----
- 0 salary 32683 non-null int64
- 1 educationType 24750 non-null object
- 2 jobTitle 20259 non-null object
- 3 qualification 12176 non-null object
- 4 gender 31296 non-null object
- 5 dateModify 32682 non-null object
- 6 skills 8972 non-null object
- 7 otherInfo 2316 non-null object
-dtypes: int64(1), object(7)
-memory usage: 2.0+ MB
-
-
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Out[6]:
-
-
-
-
-
-
-
-
-
- salary
-
-
-
-
- count
- 32683.000000
-
-
- mean
- 32150.952177
-
-
- std
- 26200.349241
-
-
- min
- 0.000000
-
-
- 25%
- 20000.000000
-
-
- 50%
- 25000.000000
-
-
- 75%
- 40000.000000
-
-
- max
- 1000000.000000
-
-
-
-
-
-
-
-
-
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-
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Out[7]:
-
-
-
-
-
-
pandas.core.series.Series
-
-
-
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-
-
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-
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-
-
-
Out[8]:
-
-
-
-
-
-
count 31296
-unique 2
-top Женский
-freq 17910
-Name: gender, dtype: object
-
-
-
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-
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Out[9]:
-
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Out[10]:
-
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Out[11]:
-
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-
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Out[12]:
-
-
-
-
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-
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-
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-
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-
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-
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Out[13]:
-
-
-
-
-
-
-
-
-
-
-
-
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-
-
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-
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-
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Out[14]:
-
-
-
-
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-
-
-
-
-
-
-
-
-
-
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-
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-
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-
-
-
-
Out[15]:
-
-
-
-
-
-
Женский 17910
-Мужской 13386
-Name: gender, dtype: int64
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Out[16]:
-
-
-
-
-
-
-
-
-
-
-
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-
-
-
-
-
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-
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-
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Out[17]:
-
-
-
-
-
-
-
-
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-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
<class 'pandas.core.frame.DataFrame'>
-RangeIndex: 32683 entries, 0 to 32682
-Data columns (total 8 columns):
- # Column Non-Null Count Dtype
---- ------ -------------- -----
- 0 salary 32683 non-null int64
- 1 educationType 24750 non-null object
- 2 jobTitle 20259 non-null object
- 3 qualification 12176 non-null object
- 4 gender 31296 non-null object
- 5 dateModify 32682 non-null object
- 6 skills 8972 non-null object
- 7 otherInfo 2316 non-null object
-dtypes: int64(1), object(7)
-memory usage: 2.0+ MB
-
-
-
-
-
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-
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-
-
-
-
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Out[19]:
-
-
-
-
-
-
-
-
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-
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-
-
-
-
-
-
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-
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-
-
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-
Out[20]:
-
-
-
-
-
-
0 <p>Аналитическое мышление, <span cla...
-5 Ответственная,пунктуальная,дисциплинированная ...
-10 <p>Коммуникабельность </p>
-13 <p>Ответственность в работе</p>
-21 <p>Усидчивость, умение удерживать в памяти нуж...
- ...
-32665 <p>Отвественность</p><p>Исполнительность</p><p...
-32668 <p>Высокая работоспособность, нацеленность на ...
-32672 <p>исполнительный</p>
-32674 <p>Нацелен на результат. Считаю себя командным...
-32675 <p>трудоспособен</p>
-Name: skills, Length: 8972, dtype: object
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Out[21]:
-
-
-
-
-
-
0 <p>Аналитическое мышление, <span cla...
-5 Ответственная,пунктуальная,дисциплинированная ...
-10 <p>Коммуникабельность </p>
-13 <p>Ответственность в работе</p>
-21 <p>Усидчивость, умение удерживать в памяти нуж...
- ...
-32665 <p>Отвественность</p><p>Исполнительность</p><p...
-32668 <p>Высокая работоспособность, нацеленность на ...
-32672 <p>исполнительный</p>
-32674 <p>Нацелен на результат. Считаю себя командным...
-32675 <p>трудоспособен</p>
-Name: skills, Length: 8972, dtype: object
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Out[22]:
-
-
-
-
-
-
0 <p>Аналитическое мышление, <span cla...
-5 Ответственная,пунктуальная,дисциплинированная ...
-10 <p>Коммуникабельность </p>
-13 <p>Ответственность в работе</p>
-21 <p>Усидчивость, умение удерживать в памяти нуж...
- ...
-32665 <p>Отвественность</p><p>Исполнительность</p><p...
-32668 <p>Высокая работоспособность, нацеленность на ...
-32672 <p>исполнительный</p>
-32674 <p>Нацелен на результат. Считаю себя командным...
-32675 <p>трудоспособен</p>
-Name: skills, Length: 8972, dtype: object
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Out[23]:
-
-
-
-
-
-
-
-
-
- salary
- educationType
- jobTitle
- qualification
- gender
- dateModify
- skills
- otherInfo
-
-
-
-
- 869
- 22000
- Среднее профессиональное
- бухгалтер
- NaN
- Женский
- 2021-03-15
- <p>ответственность</p>
- NaN
-
-
- 1124
- 22000
- NaN
- NaN
- NaN
- Женский
- 2021-09-11
- NaN
- NaN
-
-
- 1207
- 22000
- NaN
- NaN
- NaN
- Женский
- 2021-11-11
- NaN
- NaN
-
-
- 1547
- 22000
- Среднее профессиональное
- продавец
- NaN
- Женский
- 2021-06-26
- <p>общительность, умение распологать людей к с...
- NaN
-
-
- 2035
- 22000
- NaN
- NaN
- NaN
- Женский
- 2021-09-18
- NaN
- NaN
-
-
- ...
- ...
- ...
- ...
- ...
- ...
- ...
- ...
- ...
-
-
- 30302
- 22000
- Среднее
- Штукатур
- NaN
- Женский
- 2021-06-11
- <p>Исполнительность.</p>
- NaN
-
-
- 30630
- 22000
- Среднее
- NaN
- NaN
- Женский
- 2021-04-27
- NaN
- NaN
-
-
- 31206
- 22000
- Среднее профессиональное
- Продавец- универсал
- Мастер производственного обучения
- Женский
- 2021-11-23
- NaN
- NaN
-
-
- 31807
- 22000
- Высшее
- Бухгалтер
- NaN
- Женский
- 2021-11-10
- NaN
- Резюме было сгенерировано автоматически на осн...
-
-
- 32417
- 22000
- Среднее
- NaN
- NaN
- Женский
- 2021-07-21
- NaN
- NaN
-
-
-
-
85 rows × 8 columns
-
-
-
-
-
-
-
-
-
-
-
-
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-
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-
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-
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Out[27]:
-
-
-
-
-
-
230 35000
-334 20000
-2394 35000
-8096 15000
-9014 25000
-9667 90000
-20930 30000
-22530 50000
-28286 23000
-30430 23000
-Name: salary, dtype: int64
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Out[29]:
-
-
-
-
-
-
array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1. ])
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Out[30]:
-
-
-
-
-
-
-
-
-
- salary
-
-
-
-
- 0.1
- 15000.0
-
-
- 0.2
- 20000.0
-
-
- 0.3
- 25000.0
-
-
- 0.4
- 30000.0
-
-
- 0.5
- 30000.0
-
-
- 0.6
- 35000.0
-
-
- 0.7
- 40000.0
-
-
- 0.8
- 50000.0
-
-
- 0.9
- 60000.0
-
-
- 1.0
- 1000000.0
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
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-
-
-
-
-
-
-
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-
-
-
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-
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-
-
Out[34]:
-
-
-
-
-
-
-
-
-
- salary
-
-
-
-
- 0.1
- 15000.0
-
-
- 0.2
- 18000.0
-
-
- 0.3
- 20000.0
-
-
- 0.4
- 22000.0
-
-
- 0.5
- 25000.0
-
-
- 0.6
- 30000.0
-
-
- 0.7
- 30000.0
-
-
- 0.8
- 35000.0
-
-
- 0.9
- 47000.0
-
-
- 1.0
- 900000.0
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
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-
-
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Out[51]:
-
-
-
-
-
-
-
-
-
- educationType
- salary
-
-
-
-
- 0
- Высшее
- 48551.775767
-
-
- 1
- Незаконченное высшее
- 47691.925287
-
-
- 2
- Среднее
- 32519.767707
-
-
- 3
- Среднее профессиональное
- 35329.004543
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
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Out[53]:
-
-
-
-
-
-
-
-
-
- educationType
- salary
-
-
-
-
- 0
- Высшее
- 33826.008009
-
-
- 1
- Незаконченное высшее
- 29171.382643
-
-
- 2
- Среднее
- 24958.723963
-
-
- 3
- Среднее профессиональное
- 25834.460409
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
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Out[67]:
-
-
-
-
-
-
array([[<AxesSubplot:title={'center':'salary'}>]], dtype=object)
-
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Out[68]:
-
-
-
-
-
-
array([[<AxesSubplot:title={'center':'salary'}>]], dtype=object)
-
-
-
-
-
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-
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-
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Out[69]:
-
-
-
-
-
-
array([[<AxesSubplot:title={'center':'salary'}>]], dtype=object)
-
-
-
-
-
-
-
-
-
-
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Out[70]:
-
-
-
-
-
-
array([[<AxesSubplot:title={'center':'salary'}>]], dtype=object)
-
-
-
-
-
-
-
-
-
-
-
-
-
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Out[71]:
-
-
-
-
-
-
array([[<AxesSubplot:title={'center':'salary'}>]], dtype=object)
-
-
-
-
-
-
-
-
-
-
-
-
-
-
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-
-
-
-
-
-
-
-
-
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-
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-
-
Out[72]:
-
-
-
-
-
-
array([[<AxesSubplot:title={'center':'salary'}>]], dtype=object)
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
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-
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-
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-
Out[73]:
-
-
-
-
-
-
array([[<AxesSubplot:title={'center':'salary'}>]], dtype=object)
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
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-
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-
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-
-
Out[74]:
-
-
-
-
-
-
array([[<AxesSubplot:title={'center':'salary'}>]], dtype=object)
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
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-
-
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-
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-
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Out[129]:
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
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-
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Out[130]:
-
-
-
-
-
-
-
-
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-
-
-
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-
-
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-
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-
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-
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-
-
Out[131]:
-
-
-
-
-
-
бакалавр 96
-экономист 85
-менеджер 79
-юрист 41
-инженер 37
-Name: qualification, dtype: int64
-
-
-
-
-
-
-
-
-
-
-
-
-
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-
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Out[132]:
-
-
-
-
-
-
инженер 25
-главный инженер 23
-директор 21
-менеджер 13
-водитель 11
-Name: jobTitle, dtype: int64
-
-
-
-
-
-
-
-
-
+
+
+
+
+
+
+
+
+
+
+
-
-
-
-
-
-
-
-
-
-
-