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sirex/atlyginimai.ipynb

Last active March 2, 2017 15:35
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Sodros atlyginimų duomenų analizė
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atlyginimai.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Sodra padarė labai gerą darbą ir paviešino atlyginimų duomenis!\n",
"\n",
"Nusprendžiau paanalizuoti šiuos duomenis.\n",
"\n",
"Puslapis iš kur galima atsisiūsti duomenys: http://sodra.lt/lt/paslaugos/informacijos-rinkmenos"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"%matplotlib inline"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Atsisiunčiame iš išpakuojame duoemnų failą."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"--2017-03-02 14:37:29-- http://sodra.is.lt/Failai/Vidurkiai.zip\n",
"Ieškoma sodra.is.lt (sodra.is.lt)... 195.182.81.66\n",
"Jungiamasi prie sodra.is.lt (sodra.is.lt)|195.182.81.66|:80... prisijungta.\n",
"HTTP užklausa išsiųsta, laukiama atsakymo... 200 OK\n",
"Dydis: 691430 (675K) [application/zip]\n",
"Saving to: ‘Vidurkiai.zip’\n",
"\n",
"Vidurkiai.zip 100%[===================>] 675,22K 2,56MB/s in 0,3s \n",
"\n",
"2017-03-02 14:37:29 (2,56 MB/s) - ‘Vidurkiai.zip’ saved [691430/691430]\n",
"\n"
]
}
],
"source": [
"!wget http://sodra.is.lt/Failai/Vidurkiai.zip"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Archive: Vidurkiai.zip\r\n",
" inflating: VIDURKIAI.CSV \r\n"
]
}
],
"source": [
"!unzip -o Vidurkiai.zip"
]
},
{
"cell_type": "code",
"execution_count": 91,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"--2017-03-02 16:18:57-- http://sodra.is.lt/Failai/Apdraustuju_skaicius.zip\n",
"Ieškoma sodra.is.lt (sodra.is.lt)... 195.182.81.66\n",
"Jungiamasi prie sodra.is.lt (sodra.is.lt)|195.182.81.66|:80... prisijungta.\n",
"HTTP užklausa išsiųsta, laukiama atsakymo... 200 OK\n",
"Dydis: 698832 (682K) [application/zip]\n",
"Saving to: ‘Apdraustuju_skaicius.zip’\n",
"\n",
"Apdraustuju_skaiciu 100%[===================>] 682,45K 1,96MB/s in 0,3s \n",
"\n",
"2017-03-02 16:18:58 (1,96 MB/s) - ‘Apdraustuju_skaicius.zip’ saved [698832/698832]\n",
"\n"
]
}
],
"source": [
"!wget http://sodra.is.lt/Failai/Apdraustuju_skaicius.zip"
]
},
{
"cell_type": "code",
"execution_count": 92,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Archive: Apdraustuju_skaicius.zip\r\n",
" inflating: APDRAUSTUJU_SKAICIUS.CSV \r\n"
]
}
],
"source": [
"!unzip -o Apdraustuju_skaicius.zip"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import pandas as pd"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Duomenų failas nėra standartinis, todėl reikėjo įdėti šiek tiek pastangų, kol pavyko jį tinkamai nuskaityti.\n",
"\n",
"Dažniausiai CSV failus, kurie laikosi [standarto](http://specs.frictionlessdata.io/csv-dialect/) galima atidaryti tiesiog su `pd.read_csv('failas.csv')`, bet šiuo atveju, reikėjo perduoti gan nemažai parametų... Sodra galėtų šioje vietoje pasitaisyti ir pateikti tvarkingesnius duomenų failus."
]
},
{
"cell_type": "code",
"execution_count": 99,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"vidurkiai = pd.read_csv(\n",
" 'VIDURKIAI.CSV',\n",
" sep=r';\\s*',\n",
" engine='python',\n",
" encoding='iso-8859-4',\n",
" decimal=',',\n",
" skiprows=12,\n",
" comment=';',\n",
" header=None,\n",
" names=['regnr', 'kodas', 'alga', 'autorine', 'viso'],\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 100,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>regnr</th>\n",
" <th>kodas</th>\n",
" <th>alga</th>\n",
" <th>autorine</th>\n",
" <th>viso</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>110004884.0</td>\n",
" <td>120136</td>\n",
" <td>685.06</td>\n",
" <td>NaN</td>\n",
" <td>54858.12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>110005648.0</td>\n",
" <td>63287</td>\n",
" <td>1103.51</td>\n",
" <td>NaN</td>\n",
" <td>39415.02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>110006892.0</td>\n",
" <td>46122</td>\n",
" <td>420.29</td>\n",
" <td>NaN</td>\n",
" <td>693.09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>110008377.0</td>\n",
" <td>56132</td>\n",
" <td>1148.15</td>\n",
" <td>NaN</td>\n",
" <td>1865.80</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>110011925.0</td>\n",
" <td>57061</td>\n",
" <td>949.07</td>\n",
" <td>NaN</td>\n",
" <td>116443.89</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" regnr kodas alga autorine viso\n",
"0 110004884.0 120136 685.06 NaN 54858.12\n",
"1 110005648.0 63287 1103.51 NaN 39415.02\n",
"2 110006892.0 46122 420.29 NaN 693.09\n",
"3 110008377.0 56132 1148.15 NaN 1865.80\n",
"4 110011925.0 57061 949.07 NaN 116443.89"
]
},
"execution_count": 100,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"vidurkiai.head()"
]
},
{
"cell_type": "code",
"execution_count": 97,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"skaicius = pd.read_csv(\n",
" 'APDRAUSTUJU_SKAICIUS.CSV',\n",
" sep=r';\\s*',\n",
" engine='python',\n",
" encoding='iso-8859-4',\n",
" decimal=',',\n",
" skiprows=3,\n",
" comment=';',\n",
" header=None,\n",
" names=['regnr', 'kodas', 'skaicius'],\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 98,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>regnr</th>\n",
" <th>kodas</th>\n",
" <th>skaicius</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>110001436.0</td>\n",
" <td>41078</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>110003978.0</td>\n",
" <td>47039</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>110004884.0</td>\n",
" <td>120136</td>\n",
" <td>174</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>110005648.0</td>\n",
" <td>63287</td>\n",
" <td>88</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>110006173.0</td>\n",
" <td>53039</td>\n",
" <td>3</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" regnr kodas skaicius\n",
"0 110001436.0 41078 1\n",
"1 110003978.0 47039 1\n",
"2 110004884.0 120136 174\n",
"3 110005648.0 63287 88\n",
"4 110006173.0 53039 3"
]
},
"execution_count": 98,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"skaicius.head()"
]
},
{
"cell_type": "code",
"execution_count": 101,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"data = pd.merge(vidurkiai, skaicius, how='inner', on=['regnr', 'kodas'])"
]
},
{
"cell_type": "code",
"execution_count": 102,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"(43926, 6)"
]
},
"execution_count": 102,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.shape"
]
},
{
"cell_type": "code",
"execution_count": 103,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>regnr</th>\n",
" <th>kodas</th>\n",
" <th>alga</th>\n",
" <th>autorine</th>\n",
" <th>viso</th>\n",
" <th>skaicius</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>110004884.0</td>\n",
" <td>120136</td>\n",
" <td>685.06</td>\n",
" <td>NaN</td>\n",
" <td>54858.12</td>\n",
" <td>174</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>110005648.0</td>\n",
" <td>63287</td>\n",
" <td>1103.51</td>\n",
" <td>NaN</td>\n",
" <td>39415.02</td>\n",
" <td>88</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>110006892.0</td>\n",
" <td>46122</td>\n",
" <td>420.29</td>\n",
" <td>NaN</td>\n",
" <td>693.09</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>110008377.0</td>\n",
" <td>56132</td>\n",
" <td>1148.15</td>\n",
" <td>NaN</td>\n",
" <td>1865.80</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>110011925.0</td>\n",
" <td>57061</td>\n",
" <td>949.07</td>\n",
" <td>NaN</td>\n",
" <td>116443.89</td>\n",
" <td>311</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" regnr kodas alga autorine viso skaicius\n",
"0 110004884.0 120136 685.06 NaN 54858.12 174\n",
"1 110005648.0 63287 1103.51 NaN 39415.02 88\n",
"2 110006892.0 46122 420.29 NaN 693.09 3\n",
"3 110008377.0 56132 1148.15 NaN 1865.80 4\n",
"4 110011925.0 57061 949.07 NaN 116443.89 311"
]
},
"execution_count": 103,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Visų atlyginimų ir autorinių sumos vidurkis:"
]
},
{
"cell_type": "code",
"execution_count": 105,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"518.59737945635834"
]
},
"execution_count": 105,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"(data.alga.fillna(0) + data.autorine.fillna(0)).mean()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Atlyginimų ir autorinių vidurkiai:"
]
},
{
"cell_type": "code",
"execution_count": 106,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"(516.64921950441828, 624.17473684210529)"
]
},
"execution_count": 106,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.alga.mean(), data.autorine.mean()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Visų įmonių skaičius, įmonių skaičius kurios moka atlyginimus ir kurios moka autorines. Pasirodo įmonių, kurios moka autorinius atlyginimus yra labai nedaug, tik 153."
]
},
{
"cell_type": "code",
"execution_count": 107,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"(43926, 43908, 152)"
]
},
"execution_count": 107,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.shape[0], data[~data.alga.isnull()].shape[0], data[~data.autorine.isnull()].shape[0]"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import matplotlib as mpl"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"mpl.rc('font', family='Ubuntu', size=16)\n",
"mpl.rc('figure', figsize=(16, 10))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Žiūrime atlyginimų statistinį pasiskirstymą naudodami dėžutės grafiką:"
]
},
{
"cell_type": "code",
"execution_count": 109,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f353d29fa58>"
]
},
"execution_count": 109,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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E1kjRGilaI0VrpGiNFK1Bx7ITevb0008PPQIToTVStEaK1kjRGilaI0Vr0Lnp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\nFK2RojVStAYdy07o2dNPPz3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LYCK0RhatkUVrZNEaWbRGFq1Bx27sAAAAAMBSdmMHAAAA\nAEhk2AkAAAAAjIJhJ/Ts3LlzQy+BidAaWbRGFq2RRWtk0RpZtAYdw07o2alTp4ZeAhOhNbJojSxa\nI4vWyKI1smgNOjYogp5tbW3FoUOHhl4GE6A1smiNLFoji9bIojWyaI0MNiiCifICQxatkUVrZNEa\nWbRGFq2RRWvQMewEAAAAAEbBsBMAAAAAGAXDTujZ8ePHh14CE6E1smiNLFoji9bIojWyaA06hp3Q\nsyNHjgy9BCZCa2TRGlm0RhatkUVrZNEadOzGDgAAAAAsZTd2AAAAAIBEhp0AAAAAwCgYdkLPLly4\nMPQSmAitkUVrZNEaWbRGFq2RRWvQMeyEnp04cWLoJTARWiOL1siiNbJojSxaI4vWoGODIujZxYsX\n7YRHCq2RRWtk0RpZtEYWrZFFa2SwQRFMlBcYsmiNLFoji9bIojWyaI0sWoOOYScAAAAAMAqGnQAA\nAADAKBh2Qs82NzeHXgIToTWyaI0sWiOL1siiNbJoDTqGndCzra2toZfARGiNLFoji9bIojWyaI0s\nWoOO3dgBAAAAgKXsxg4AAAAAkMiwEwAAAAAYBcNO6NmlS5eGXgIToTWyaI0sWiOL1siiNbJoDTqG\nndCz9fX1oZfARGiNLFoji9bIojWyaI0sWoOOYSf07OTJk0MvgYnQGlm0RhatkUVrZNEaWbQGHbux\nAwAAAABL2Y0dAAAAACCRYScAAAAAMAqGndCz06dPD70EJkJrZNEaWbRGFq2RRWtk0Rp0DDuhZ+fP\nr+zbVjAyWiOL1siiNbJojSxaI4vWoGODIgAAAABgKRsUAQAAAAAkMuwEAAAAAEbBsBMAAAAAGAXD\nTujZ2tra0EtgIrRGFq2RRWtk0RpZtEYWrUHHsBN6trGxMfQSmAitkUVrZNEaWbRGFq2RRWvQsRs7\nAAAAALCU3dgBAAAAABIZdgIAAAAAo2DYCT07e/bs0EtgIrRGFq2RRWtk0RpZtEYWrUHHsBN6dubM\nmaGXwERojSxaI4vWyKI1smiNLFqDjg2KAAAAAIClbFAEAAAAAJDIsBMAAAAAGAXDTgAAAABgFAw7\noWfHjh0beglMhNbIojWyaI0sWiOL1siiNegYdkLPjh49OvQSmAitkUVrZNEaWbRGFq2RRWvQsRs7\nAAAAALCU3dgBAAAAABIZdgIAAAAAo2DYCT07d+7c0EtgIrRGFq2RRWtk0RpZtEYWrUHHsBN6durU\nqaGXwERojSxaI4vWyKI1smiNLFqDjg2KoGdbW1tx6NChoZfBBGiNLFoji9bIojWyaI0sWiODDYpg\norzAkEVrZNEaWbRGFq2RRWtk0Rp0DDsBAAAAgFEw7AQAAAAARsGwE3p2/PjxoZfARGiNLFoji9bI\nojWyaI0sWoOOYSf07MiRI0MvgYnQGlm0RhatkUVrZNEaWbQGHbuxAwAAAABL2Y0dAAAAACCRYScA\nAAAAMAqGndCzCxcuDL0EJkJrZNEaWbRGFq2RRWtk0Rp0DDuhZydOnBh6CUyE1siiNbJojSxaI4vW\nyKI16NigCHp28eJFO+GRQmtk0RpZtEYWrZFFa2TRGhlsUAQT5QWGLFoji9bIojWyaI0sWiOL1qBj\n2AkAAAAAjIJhJwAAAAAwCoad0LPNzc2hl8BEaI0sWiOL1siiNbJojSxag45hJ/Rsa2tr6CUwEVoj\ni9bIojWyaI0sWiOL1qBjN3YAAAAAYCm7sQMAAAAAJDLsBAAAAABGwbATenbp0qWhl8BEaI0sWiOL\n1siiNbJojSxag45hJ/RsfX196CUwEVoji9bIojWyaI0sWiOL1qBj2Ak9O3ny5NBLYCK0RhatkUVr\nZNEaWbRGFq1Bx27sAAAAAMBSdmMHAAAAAEhk2AkAAAAAjIJhJ/Ts9OnTQy+BidAaWbRGFq2RRWtk\n0RpZtAYdw07o2fnzK/u2FYyM1siiNbJojSxaI4vWyKI16NigCAAAAABYygZFAAAAAACJDDsBAAAA\ngFEw7AQAAAAARsGwE3q2trY29BKYCK2RRWtk0RpZtEYWrZFFa9Ax7ISebWxsDL0EJkJrZNEaWbRG\nFq2RRWtk0Rp07MYOAAAAACxlN3YAAAAAgESGnQAAAADAKBh2Qs/Onj079BKYCK2RRWtk0RpZtEYW\nrZFFa9Ax7ISenTlzZuglMBFaI4vWyKI1smiNLFoji9agY4MiAAAAAGApGxQBAAAAACQy7AQAAAAA\nRsGwEwAAAAAYBcNO6NmxY8eGXgIToTWyaI0sWiOL1siiNbJoDTqGndCzo0ePDr0EJkJrZNEaWbRG\nFq2RRWtk0Rp07MYOAAAAACxlN3YAAAAAgESGnQAAAADAKBh2Qs/OnTs39BKYCK2RRWtk0RpZtEYW\nrZFFa9Ax7ISenTp1auglMBFaI4vWyKI1smiNLFoji9agY4Mi6NnW1lYcOnRo6GUwAVoji9bIojWy\naF5z29IAABD0SURBVI0sWiOL1shggyKYKC8wZNEaWbRGFq2RRWtk0RpZtAYdw04AAAAAYBQMOwEA\nAACAUTDshJ4dP3586CUwEVoji9bIojWyaI0sWiOL1qBj2Ak9O3LkyNBLYCK0RhatkUVrZNEaWbRG\nFq1Bx27sAAAAAMBSdmMHAAAAAEhk2AkAAAAAjIJhJ/TswoULQy+BidAaWbRGFq2RRWtk0RpZtAYd\nw07o2YkTJ4ZeAhOhNbJojSxaI4vWyKI1smgNOjYogp5dvHjRTnik0BpZtEYWrZFFa2TRGlm0RgYb\nFMFEeYEhi9bIojWyaI0sWiOL1siiNegYdgIAAAAAo2DYCQAAAACMgmEn9Gxzc3PoJTARWiOL1sii\nNbJojSxaI4vWoGPYCT3b2toaeglMhNbIojWyaI0sWiOL1siiNejYjR0AAAAAWMpu7AAAAAAAiQw7\nAQAAAIBRMOyEnl26dGnoJTARWiOL1siiNbJojSxaI4vWoGPYCT1bX18feglMhNbIojWyaI0sWiOL\n1siiNegYdkLPTp48OfQSmAitkUVrZNEaWbRGFq2RRWvQsRs7AAAAALCU3dgBAAAAABIZdgIAAAAA\no2DYCT07ffr00EtgIrRGFq2RRWtk0RpZtEYWrUHHsBN6dv78yr5tBSOjNbJojSxaI4vWyKI1smgN\nOjYoAgAAAACWskERAAAAAEAiw04AAAAAYBQMOwEAAACAUTDshJ6tra0NvQQmQmtk0RpZtEYWrZFF\na2TRGnQMO6FnGxsbQy+BidAaWbRGFq2RRWtk0RpZtAYdu7EDAAAAAEvZjR0AAAAAIJFhJwAAAAAw\nCoad0LOzZ88OvQQmQmtk0RpZtEYWrZFFa2TRGnQMO6Fnm5ubQy+BidAaWbRGFq2RRWtk0RpZtAYd\nw07o2Z133jn0EpgIrZFFa2TRGlm0RhatkUVr0DHsBAAAAABGwbATAAAAABgFw04AAAAAYBRuHnoB\nSW6JiLj//vuHXgcT8J73vCfOnz8/9DKYAK2RRWtk0RpZtEYWrZFFa2SYmavdMuQ6rqfUWodeww1X\nSvnuiHjz0OsAAAAAgAPu79da3zL0IhaZyrDzqRHxLRHxRxHx2LCrAQAAAIAD55aIeGZE/Eat9eMD\nr2WhSQw7AQAAAIDxs0ERAAAAADAKhp0AAAAAwCgYdgIAAAAAo2DYCQAAAACMwqiHnaWUp5dS3lhK\nebCU8mgp5XwpZX3odTG8UsozSilXlxzfs8PnvKqU8rttSx8tpbyplHL3ksfYc397fQxWUynliaWU\nX29bunfJeX+rlPLuUsrDpZRLpZS3l1K+csn5t5dSfq6UcrGUslVKeX8p5R+VUhZeyzMeg+HsprVS\nymuWXe8WfI7WiFLKc0opv1BKeaCU8lgp5WOllN8opXzbks9ZuddKXw+uvr221j6fi65rH1zwOVoj\nSikvb1+f/qSU8tlSykOllP9cSnnJks9xXWPP9tqa6xp9KY1fadt554Jzxn9dq7WO8oiIIxHx0Yi4\nGhGPRMTFiLjS/vpnhl6fY/A+ntG28OmIeP/c8b6I+I6583+6Pf9KRPxx+3lXI+KhiHj2Dr//nvvb\n62M4VvOIiMMRcd/Mc3nvgvN+cOacByPik+2vH42I5+9w/h1tn1cj4jMR8eGI+PP2178y1GM4DkRr\nr2nP+chO1zutORY8p+sR8Vj7nH4uIv6ofa6utsc/3OFzVu61cj+P4TgQrb2xPf9DO1zX/rvWHAue\n05fPPKcfjYgPzLX2qiE60Nr4jn225rrm6Ku/1848z+8cooNVaG3wJ+IGPsG/1f7hvD0ibm1ve3H7\nB3clIl489Bodg/bxpe3/OG/fxbnfEN1f2o+2tx2KiLe2t79rh8/ZU3/7eQzHah0RcXNE/EB7Ab8y\nc1wzgIqIZ0bEZyPickR8b3vbTRHx+vb5fiAibpr7nDe09/1ORBxub7unfVG4EhHHsh/Dsfqttef/\nVHv/2i5/f605Ipq/qP1ZRLw6Ip7c3vbkiPjFmdervzBz/kq+Vu71MRyr31p7/5vb5++rdvkYWnNE\nRJSI+PGI+JKZ226PiP/QPq8PZnegtXEee22tvd91zdFHe6/Ybqz9+M65+ydzXRv8ybhBT/BXt3+I\nn4prvzj6p+19vz70Oh2DNvK8toPTuzj319r/wX5i7vbbI+IT7X1fP3P7nvvb62M4Vu+IiHfNXNRP\nRPMvUxYNO3+uPfdNc7c/ISL+oP28V8zcfjiaf+1yOWa+aGrve1X7e70v+zEcq99ae/7r2/u/cRe/\nt9Ycs8/HX97htpvb17crEfGymdtX7rVyP4/hWP3W2vvOtrffvYvfW2uO6/YX3b9Aunvmdtc1R0pr\n7X2ua47H29ddEfHxiPhgRPyd2HnYOZnr2ljfF2ut/fhfa61/Nnffm9qPLy2lPDlxTayWw+3HTyw7\nqZTypIj45vaXb569r9b6cDT/I0d0zc3+96762+djsHreGhG/EBFfXms9FRF1ybnf1t4//3xfjYi3\nRPPd4Nnn+2XR/KXvvbXWP5z7vd4WzY/FPKeU8sXJj8Ew9tJaxC6vdy2t8Xm11od2uO1yND9aFBHx\nlIiVfq309eABsdvWZuzluqY1rueL2o+XI+JjEa5r3DDXtDbDdY3H699FxG0R8Z0RcWn+zqld18Y6\n7PyaaP7i9d75O2qtH45m2v3EiPiK5HWxOp7Wfpx/kZn3nGh+lOqRWusf7HD/70bzF/nnzdy21/72\n8xismFrrz9daf6jWenHZeaWU2yPiWe0vr2kkmuc74tqmdjy/1vpYNO/l8/nPyXgMhrPb1mbs9noX\noTWuo5RyWzRvBRMR8fvtx1V9rfT14AG2oLVtT4uIz9ZaH93Fb6U1FiqlPCcifjma5+9n29ehCNc1\neraktW2ua+xbKeXVEfGSiPjJWuv5BadN6ro21mHnM9qPf7rg/o/Nncf03NV+/JFSyntLKW8rpfxw\nKeXw3HnbjSwaEuzU0l77289jcHBtP49Xa607fed2UVM19t7UjXwMDo7t691vl2a39H9dSvn2svOu\n51rjek5GxJMi4h211u3B9Kq+Vvp68GA7Gde2tu2vRsTNpZT/W0r57VLKvyylvHjB76M1vkAp5bZS\nyoVSykPRfIPteRHxY7XWfzJzmusaj9suW9vmusa+lFKeGhH/PCL+XzTv1b/IpK5rYx123tZ+/NSC\n+7dvn/+RGKbjcjQXgysR8bXRvDn+6yLigVLKd8yct5+W9vo5ep2W7ef74QX3bz/ft+7wOXtt6kY+\nBgfHQxFxIZqh5wsj4vuj+RGS3yml3Dl3rtZYqJTyioj4kYj4ZPtx26q+VmrtgFrS2va/+Lw/mt2N\nnx0R90azudF9pZT/ssOPuWmNeTdF86+GD0fzzbcnRcTRUsrsX6Rd1+jDblpzXePx2oyIOyJio30b\nqUUmdV0b67CzDL0AVlut9WdrrV9da70rmgvDyyPif7X//R9LKc9tT91PS3v9HL1Oy6o2pcORqrW+\nuNb63FrrHRHxJRHxj6N5P6jnR8Svzp2uNXZUSvn2iPilaL5Z+HdrrR+avXs/v+UNPn+/n8PArtNa\n1FofqbX+tVrrl9dab4uIe6L5lyyfieY9gd8w/1vudQn7WfY+PoeB1Fo/Fc17R98VEd8VzY9Vvigi\n3lVKOdSe5rrG47bL1lzX2LdSyj0RcSwiztZa33290/fzEDf4/P1+znWNddj56fbjHQvuv2PuPCas\nfXH5tYj4hoh4dzTfcfvR9u79tLTXz9HrtGw/j7cvuH/7+Z59v579NnUjH4MDqNb6oVrra6P5QvvP\nI+KFpZR7Z07RGtcopXxrNJtH3RQRr6y13jd3yqq+VmrtgNlFa9eotb6/1vrjEfG3o/kL098rpRyZ\nOUVrXKM2Hqy1vjUivjGa94W9OyI22lNc1+jFLlrb6XNc19itf9Z+/Mm523caIE7qujbWYeeH24/z\nP5637fDcebC9c/C/iebC8IL25u1G5t/Lc9udc+fN/vdu+9vPY3BwbT+PTyil/MUd7l/UVInFTc1/\nTsZjcIDVWt8XEf+z/eULZu7SGl+glPLCiPhP0fzLlPVa69t2OG1VXyt9PXiA7LK1hWqtvxnNj4BG\nXHtdi9AaC9RaPxfNjr8lIrbfI9F1jd4taG3Z+a5rLNTuN7IWzVvzvaWUcv/2ERH/vj3tBe1tPxUT\nu66Nddj5f6K5gHz9/B3td0QOR/MvWubf7Bw+2X7cfl+UC9H8+MBTSilftsP5XxfN+6/83sxte+1v\nP4/BAVVrfTgitn8k75pGonm+I65tasfzSylfFN3OdL+X9RiMwvz1LkJrzCilPD2atzp4UkT8cK31\nlxacuqqvlb4ePCD20Nr1LLquaY3rudx+fGL70XWNG2W+tetxXWORW6N5jm6KiC+bO+6K5jm9pf31\nX4mJXdfGOux8R/vxW0sp8/8U9nvaj/fVWj+TuCYOhu3vsD0Q8fnvvv1me9srZ09s30h6ezOjd8zc\ntaf+9vkYHGzviOaCPv98PyEivjuaF4DZ5/u/RfOF0fNLKV8893u9Ipovfi7UWj8wc3vGY3BAlVJu\nie5fCDwwc5fWmPXT0XyX/Q211p9fdNIKv1b6evDg2FVry5RSnhbdN0tmr2taYzde2n68EOG6xg31\nBa0t47rGMrXWD9dab9rpiIiXRPP1+bva275vcte1Wusoj/YP+Go0Pw5za3vbN0Xzc/5XIuKbhl6j\nY7A2vjQivjci/tLMbU+OiB+KiM+1fXzXzH1/vW3pkYj45va2QxHxy+3t/2OHx9hTf/t5DMdqH9H8\na7crEXHvDvc9MyI+G813qF7V3nZzRLyufb4fiIib5j7nF9v7zkXE4fa2eyLiwfZx/kH2YzhW47hO\na98ZzftD3Txz27Oi+RdUVyPiTyPiKVpz7NDOs6IZSn8yIm7bxfkr+Vq518dwHIjWjkXzL0PKzG1f\nGc37rl+NiPfN3qc1x8xz9Dci4mhEPHHmtlsj4jXtc3c5Ir4uswOtjfPYR2uua46+G3xR+9y9M7uD\nVWlt8CfhBj65RyLiT9o/mEci4mL7h3clIn5m6PU5Bm1jY6aFhyLiI9EMObdv+1c7fM6/aO+7GhF/\n3P5Pd7X9/GfvcP6e+9vrYzhW+4glA6j2/h+ceb4fjOYveVej2cjl+Tucf0c0X+hciYjHonnPksvt\nr9821GM4hj+WtRbNrp9Xo/lxko9ExMfaX1+NiE9FxEu15ljwnP7ATDv3Lzh+a+5zVu61cj+P4Vjt\n1mauY4+2DXxi5jl9MCLu0ZpjwXO6/Rftz0TEB9tj++8An4uIVw/RgdbGd+y1Ndc1xw1ocMdhZ1YH\nq9Da4E/CDX6Cnx4R/7a9QDwaEf87Io4NvS7H4F18RUS8NiLeG81fyB+LZgjwqxHxN5d83ivbz3kk\nIj4azZv+3r3k/D33t9fHcKzuEc0A6nIsGHa257wsmk1iHo6Ij7cNPnfJ+bdHxOvbi/9WNO9b8qMx\n953e7MdwrG5r0fxY+JmI+MP2+fx0NEPG10XEEa05ljw/P9Z+gbns+MAOn7dyr5X7eQzHarYWzVtw\nfX9EvD2ab5I8Fs03bs5HxE9ExFO15ljy/HxLRLyxfR18pH2OHojmpw2+asgOtDauYy+tua45blCD\nL2pfP+8bqoOhWyvtbwoAAAAAcKCNdYMiAAAAAGBiDDsBAAAAgFEw7AQAAAAARsGwEwAAAAAYBcNO\nAAAAAGAUDDsBAAAAgFEw7AQAAAAARsGwEwAAAAAYBcNOAAAAAGAUDDsBAAAAgFEw7AQAAAAARsGw\nEwAAAAAYBcNOAAAAAGAU/j9fT2AjdrOepwAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f353d74e208>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"data.alga.plot.box(vert=False, showmeans=True, grid=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Toks pasiskirstymas rodo, kad didžioji dauguma gauna labai nedidelį atlyginimą, bet yra po kelias įmones, kurios gauna labai didelį atlyginimą. Grafike matome, kad yra viena įmonė, kuri ypatingai nutolusi nuo vidurkio. Pasitikriname, kokios įmonės patenka į top 50 pagal atlyginimo vidurkį:"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import requests, lxml.html"
]
},
{
"cell_type": "code",
"execution_count": 88,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"def get_org_name(kodas):\n",
" resp = requests.post('https://draudejai.sodra.lt/draudeju_viesi_duomenys/', {\n",
" 'formType': 'NEW',\n",
" 'year': '2017',\n",
" 'month': '1',\n",
" 'declarantCode2': kodas,\n",
" 'actionName': 'MEAN',\n",
" })\n",
" assert resp.status_code == 200\n",
" parser = lxml.html.HTMLParser(encoding='utf-8')\n",
" html = lxml.html.document_fromstring(resp.content, parser=parser)\n",
" return html.xpath('string(//td[text() = \"Draudėjo pavadinimas\"]/following-sibling::td[1]/text())')"
]
},
{
"cell_type": "code",
"execution_count": 138,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>regnr</th>\n",
" <th>kodas</th>\n",
" <th>alga</th>\n",
" <th>autorine</th>\n",
" <th>viso</th>\n",
" <th>skaicius</th>\n",
" <th>pavadinimas</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>300630105.0</td>\n",
" <td>778418</td>\n",
" <td>36973.68</td>\n",
" <td>0.0</td>\n",
" <td>244719.94</td>\n",
" <td>16</td>\n",
" <td>UAB \"BIOTECHA\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>126211233.0</td>\n",
" <td>715250</td>\n",
" <td>11084.89</td>\n",
" <td>0.0</td>\n",
" <td>40610.03</td>\n",
" <td>10</td>\n",
" <td>UAB \"NDX ENERGIJA\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>111789092.0</td>\n",
" <td>922941</td>\n",
" <td>9897.50</td>\n",
" <td>0.0</td>\n",
" <td>15970.28</td>\n",
" <td>4</td>\n",
" <td>UAB \"BIOMIN ANIMAL NUTRITION\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>301737900.0</td>\n",
" <td>1003665</td>\n",
" <td>8883.05</td>\n",
" <td>0.0</td>\n",
" <td>32352.63</td>\n",
" <td>9</td>\n",
" <td>UAB \"IDS BORJOMI EUROPE\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>0.0</td>\n",
" <td>2048307</td>\n",
" <td>8879.21</td>\n",
" <td>0.0</td>\n",
" <td>17787.66</td>\n",
" <td>5</td>\n",
" <td>CV KESKUS OU</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>111622773.0</td>\n",
" <td>83305</td>\n",
" <td>8368.50</td>\n",
" <td>0.0</td>\n",
" <td>20282.98</td>\n",
" <td>5</td>\n",
" <td>VASTINT LITHUANIA, UAB</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>300500236.0</td>\n",
" <td>578706</td>\n",
" <td>7856.37</td>\n",
" <td>0.0</td>\n",
" <td>12645.81</td>\n",
" <td>4</td>\n",
" <td>UAB \"ENERGOGRUPĖ\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>111881740.0</td>\n",
" <td>701615</td>\n",
" <td>7842.86</td>\n",
" <td>0.0</td>\n",
" <td>15756.31</td>\n",
" <td>5</td>\n",
" <td>ORACLE EAST CENTRAL EUROPE LIMITED FILIALAS</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>0.0</td>\n",
" <td>2371339</td>\n",
" <td>7173.96</td>\n",
" <td>0.0</td>\n",
" <td>14373.79</td>\n",
" <td>5</td>\n",
" <td>BERTONA HOLDINGS LIMITED</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>300633724.0</td>\n",
" <td>988747</td>\n",
" <td>6916.29</td>\n",
" <td>0.0</td>\n",
" <td>89716.51</td>\n",
" <td>35</td>\n",
" <td>UAB \"UBIQUITI NETWORKS EUROPE\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>149615085.0</td>\n",
" <td>560909</td>\n",
" <td>6508.74</td>\n",
" <td>0.0</td>\n",
" <td>10497.16</td>\n",
" <td>4</td>\n",
" <td>UŽDAROJI AKCINĖ BENDROVĖ \"MARISA\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>303876350.0</td>\n",
" <td>2324126</td>\n",
" <td>6197.77</td>\n",
" <td>0.0</td>\n",
" <td>9961.05</td>\n",
" <td>5</td>\n",
" <td>GOOGLE LITHUANIA UAB</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>111778459.0</td>\n",
" <td>706592</td>\n",
" <td>6195.97</td>\n",
" <td>0.0</td>\n",
" <td>103400.11</td>\n",
" <td>41</td>\n",
" <td>UAB \"JOHNSON &amp; JOHNSON\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>303478396.0</td>\n",
" <td>2310260</td>\n",
" <td>5820.18</td>\n",
" <td>0.0</td>\n",
" <td>55214.90</td>\n",
" <td>24</td>\n",
" <td>SIA \"4FINANCE IT\" LIETUVOS FILIALAS</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>302409447.0</td>\n",
" <td>2021008</td>\n",
" <td>5744.56</td>\n",
" <td>0.0</td>\n",
" <td>38131.15</td>\n",
" <td>18</td>\n",
" <td>\"3M LIETUVA\", UAB</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>303119781.0</td>\n",
" <td>2232343</td>\n",
" <td>5558.69</td>\n",
" <td>0.0</td>\n",
" <td>175288.19</td>\n",
" <td>79</td>\n",
" <td>UAB \"ADVANTEC LIETUVA\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>302526767.0</td>\n",
" <td>2061583</td>\n",
" <td>5478.10</td>\n",
" <td>0.0</td>\n",
" <td>13232.93</td>\n",
" <td>8</td>\n",
" <td>TALKA LT, UAB</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>302466067.0</td>\n",
" <td>2039689</td>\n",
" <td>5441.85</td>\n",
" <td>0.0</td>\n",
" <td>54808.77</td>\n",
" <td>24</td>\n",
" <td>HUAWEI TECHNOLOGIES (VILNIUS), UAB</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>302679058.0</td>\n",
" <td>2129757</td>\n",
" <td>5437.13</td>\n",
" <td>0.0</td>\n",
" <td>46639.08</td>\n",
" <td>23</td>\n",
" <td>ABBVIE UAB</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>300017440.0</td>\n",
" <td>728706</td>\n",
" <td>5393.91</td>\n",
" <td>0.0</td>\n",
" <td>15095.43</td>\n",
" <td>7</td>\n",
" <td>AMGEN SWITZERLAND AG VILNIAUS FILIALAS</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>303850868.0</td>\n",
" <td>2323210</td>\n",
" <td>5383.05</td>\n",
" <td>0.0</td>\n",
" <td>8849.60</td>\n",
" <td>4</td>\n",
" <td>COREBETA CONSULTING, UAB</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>302489781.0</td>\n",
" <td>2049431</td>\n",
" <td>5371.69</td>\n",
" <td>0.0</td>\n",
" <td>34699.24</td>\n",
" <td>16</td>\n",
" <td>UADBB IVP PARTNERS</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>111751978.0</td>\n",
" <td>94714</td>\n",
" <td>5322.72</td>\n",
" <td>0.0</td>\n",
" <td>41195.28</td>\n",
" <td>19</td>\n",
" <td>UAB \"MICROSOFT LIETUVA\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>111694349.0</td>\n",
" <td>435496</td>\n",
" <td>5298.64</td>\n",
" <td>0.0</td>\n",
" <td>114038.58</td>\n",
" <td>52</td>\n",
" <td>IKEA PURCHASING SERVICES (LITHUANIA), UAB</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>111461341.0</td>\n",
" <td>79363</td>\n",
" <td>5297.25</td>\n",
" <td>0.0</td>\n",
" <td>12931.89</td>\n",
" <td>6</td>\n",
" <td>UAB \"SCHAGE REAL ESTATE\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>300129852.0</td>\n",
" <td>746450</td>\n",
" <td>5256.13</td>\n",
" <td>0.0</td>\n",
" <td>10781.78</td>\n",
" <td>5</td>\n",
" <td>UAB \"ATOTECH-CHEMETA\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>0.0</td>\n",
" <td>2006111</td>\n",
" <td>5192.93</td>\n",
" <td>0.0</td>\n",
" <td>8388.82</td>\n",
" <td>4</td>\n",
" <td>DELL EMERGING MARKETS (EMEA) LIMITED</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>125224854.0</td>\n",
" <td>44660</td>\n",
" <td>4898.67</td>\n",
" <td>0.0</td>\n",
" <td>32407.89</td>\n",
" <td>15</td>\n",
" <td>UAB \"MEDICINOS PROJEKTAI\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>300541343.0</td>\n",
" <td>766079</td>\n",
" <td>4877.57</td>\n",
" <td>0.0</td>\n",
" <td>19852.11</td>\n",
" <td>13</td>\n",
" <td>ETL-BALTIC GROUP, UAB</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>0.0</td>\n",
" <td>2225271</td>\n",
" <td>4821.86</td>\n",
" <td>0.0</td>\n",
" <td>48429.42</td>\n",
" <td>25</td>\n",
" <td>RYANAIR LTD</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <td>303075527.0</td>\n",
" <td>2219550</td>\n",
" <td>4704.09</td>\n",
" <td>0.0</td>\n",
" <td>15209.41</td>\n",
" <td>8</td>\n",
" <td>AKCINĖ BENDROVĖ \"INVALDA PRIVATUS KAPITALAS\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>302836470.0</td>\n",
" <td>2175339</td>\n",
" <td>4700.15</td>\n",
" <td>0.0</td>\n",
" <td>21025.88</td>\n",
" <td>11</td>\n",
" <td>UAB \"BIONORICA LITHUANIA\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>32</th>\n",
" <td>191595733.0</td>\n",
" <td>65280</td>\n",
" <td>4663.15</td>\n",
" <td>0.0</td>\n",
" <td>9368.27</td>\n",
" <td>4</td>\n",
" <td>LIETUVOS SPORTO FEDERACIJŲ SĄJUNGA</td>\n",
" </tr>\n",
" <tr>\n",
" <th>33</th>\n",
" <td>302419427.0</td>\n",
" <td>2024352</td>\n",
" <td>4662.84</td>\n",
" <td>0.0</td>\n",
" <td>13276.74</td>\n",
" <td>6</td>\n",
" <td>MERCK SERONO, UAB</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34</th>\n",
" <td>300047572.0</td>\n",
" <td>734602</td>\n",
" <td>4514.70</td>\n",
" <td>0.0</td>\n",
" <td>14583.17</td>\n",
" <td>8</td>\n",
" <td>UAB \"BULL BALTIJA\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>35</th>\n",
" <td>302758438.0</td>\n",
" <td>2151831</td>\n",
" <td>4487.48</td>\n",
" <td>0.0</td>\n",
" <td>7212.28</td>\n",
" <td>4</td>\n",
" <td>ARTECHNIKA UAB</td>\n",
" </tr>\n",
" <tr>\n",
" <th>36</th>\n",
" <td>304311329.0</td>\n",
" <td>2789298</td>\n",
" <td>4461.36</td>\n",
" <td>0.0</td>\n",
" <td>32779.41</td>\n",
" <td>18</td>\n",
" <td>UAB HEWLETT PACKARD VILNIUS</td>\n",
" </tr>\n",
" <tr>\n",
" <th>37</th>\n",
" <td>121706497.0</td>\n",
" <td>66079</td>\n",
" <td>4433.20</td>\n",
" <td>0.0</td>\n",
" <td>218308.51</td>\n",
" <td>122</td>\n",
" <td>UŽDAROJI AKCINĖ BENDROVĖ \"EKSPLA\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>38</th>\n",
" <td>111810024.0</td>\n",
" <td>716914</td>\n",
" <td>4426.42</td>\n",
" <td>0.0</td>\n",
" <td>14339.64</td>\n",
" <td>8</td>\n",
" <td>UŽDAROJI AKCINĖ BENDROVĖ \"MANUBALTAS\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39</th>\n",
" <td>111914165.0</td>\n",
" <td>863474</td>\n",
" <td>4400.59</td>\n",
" <td>0.0</td>\n",
" <td>10977.90</td>\n",
" <td>5</td>\n",
" <td>PENTAIR THERMAL MANAGEMENT NETHERLANDS B.V. AT...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>40</th>\n",
" <td>303211144.0</td>\n",
" <td>2252707</td>\n",
" <td>4347.21</td>\n",
" <td>0.0</td>\n",
" <td>8887.18</td>\n",
" <td>1</td>\n",
" <td>FREY WILLE LIETUVA UAB</td>\n",
" </tr>\n",
" <tr>\n",
" <th>41</th>\n",
" <td>303055396.0</td>\n",
" <td>2213838</td>\n",
" <td>4342.64</td>\n",
" <td>0.0</td>\n",
" <td>7029.48</td>\n",
" <td>4</td>\n",
" <td>UAB \"ADAMA NORTHERN EUROPE\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>42</th>\n",
" <td>302651151.0</td>\n",
" <td>2117868</td>\n",
" <td>4315.47</td>\n",
" <td>0.0</td>\n",
" <td>39721.16</td>\n",
" <td>6</td>\n",
" <td>KREDITO UNIJA AMBER</td>\n",
" </tr>\n",
" <tr>\n",
" <th>43</th>\n",
" <td>0.0</td>\n",
" <td>2206590</td>\n",
" <td>4307.71</td>\n",
" <td>0.0</td>\n",
" <td>10735.79</td>\n",
" <td>6</td>\n",
" <td>LENOVO TECHNOLOGY B.V.,SIVULIIKE SUOMESSA</td>\n",
" </tr>\n",
" <tr>\n",
" <th>44</th>\n",
" <td>126119913.0</td>\n",
" <td>709344</td>\n",
" <td>4288.26</td>\n",
" <td>0.0</td>\n",
" <td>43865.27</td>\n",
" <td>25</td>\n",
" <td>AB \"INTER RAO LIETUVA\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>45</th>\n",
" <td>304065315.0</td>\n",
" <td>2341467</td>\n",
" <td>4253.31</td>\n",
" <td>0.0</td>\n",
" <td>35415.35</td>\n",
" <td>19</td>\n",
" <td>MEDIAFON CARRIER SERVICES, UAB</td>\n",
" </tr>\n",
" <tr>\n",
" <th>46</th>\n",
" <td>300580392.0</td>\n",
" <td>839158</td>\n",
" <td>4208.70</td>\n",
" <td>0.0</td>\n",
" <td>19189.96</td>\n",
" <td>12</td>\n",
" <td>UAB \"ROSHEN NORD\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>47</th>\n",
" <td>303043853.0</td>\n",
" <td>2211750</td>\n",
" <td>4197.60</td>\n",
" <td>0.0</td>\n",
" <td>19251.40</td>\n",
" <td>11</td>\n",
" <td>DRIVR DEVELOPMENT UAB</td>\n",
" </tr>\n",
" <tr>\n",
" <th>48</th>\n",
" <td>303246070.0</td>\n",
" <td>2261717</td>\n",
" <td>4181.56</td>\n",
" <td>0.0</td>\n",
" <td>56141.23</td>\n",
" <td>32</td>\n",
" <td>UBER LITHUANIA SOFTWARE AND DEVELOPMENT UAB</td>\n",
" </tr>\n",
" <tr>\n",
" <th>49</th>\n",
" <td>302527901.0</td>\n",
" <td>2061878</td>\n",
" <td>4171.84</td>\n",
" <td>0.0</td>\n",
" <td>71587.67</td>\n",
" <td>44</td>\n",
" <td>UAB \"NARBUTAS\"</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" regnr kodas alga autorine viso skaicius \\\n",
"0 300630105.0 778418 36973.68 0.0 244719.94 16 \n",
"1 126211233.0 715250 11084.89 0.0 40610.03 10 \n",
"2 111789092.0 922941 9897.50 0.0 15970.28 4 \n",
"3 301737900.0 1003665 8883.05 0.0 32352.63 9 \n",
"4 0.0 2048307 8879.21 0.0 17787.66 5 \n",
"5 111622773.0 83305 8368.50 0.0 20282.98 5 \n",
"6 300500236.0 578706 7856.37 0.0 12645.81 4 \n",
"7 111881740.0 701615 7842.86 0.0 15756.31 5 \n",
"8 0.0 2371339 7173.96 0.0 14373.79 5 \n",
"9 300633724.0 988747 6916.29 0.0 89716.51 35 \n",
"10 149615085.0 560909 6508.74 0.0 10497.16 4 \n",
"11 303876350.0 2324126 6197.77 0.0 9961.05 5 \n",
"12 111778459.0 706592 6195.97 0.0 103400.11 41 \n",
"13 303478396.0 2310260 5820.18 0.0 55214.90 24 \n",
"14 302409447.0 2021008 5744.56 0.0 38131.15 18 \n",
"15 303119781.0 2232343 5558.69 0.0 175288.19 79 \n",
"16 302526767.0 2061583 5478.10 0.0 13232.93 8 \n",
"17 302466067.0 2039689 5441.85 0.0 54808.77 24 \n",
"18 302679058.0 2129757 5437.13 0.0 46639.08 23 \n",
"19 300017440.0 728706 5393.91 0.0 15095.43 7 \n",
"20 303850868.0 2323210 5383.05 0.0 8849.60 4 \n",
"21 302489781.0 2049431 5371.69 0.0 34699.24 16 \n",
"22 111751978.0 94714 5322.72 0.0 41195.28 19 \n",
"23 111694349.0 435496 5298.64 0.0 114038.58 52 \n",
"24 111461341.0 79363 5297.25 0.0 12931.89 6 \n",
"25 300129852.0 746450 5256.13 0.0 10781.78 5 \n",
"26 0.0 2006111 5192.93 0.0 8388.82 4 \n",
"27 125224854.0 44660 4898.67 0.0 32407.89 15 \n",
"28 300541343.0 766079 4877.57 0.0 19852.11 13 \n",
"29 0.0 2225271 4821.86 0.0 48429.42 25 \n",
"30 303075527.0 2219550 4704.09 0.0 15209.41 8 \n",
"31 302836470.0 2175339 4700.15 0.0 21025.88 11 \n",
"32 191595733.0 65280 4663.15 0.0 9368.27 4 \n",
"33 302419427.0 2024352 4662.84 0.0 13276.74 6 \n",
"34 300047572.0 734602 4514.70 0.0 14583.17 8 \n",
"35 302758438.0 2151831 4487.48 0.0 7212.28 4 \n",
"36 304311329.0 2789298 4461.36 0.0 32779.41 18 \n",
"37 121706497.0 66079 4433.20 0.0 218308.51 122 \n",
"38 111810024.0 716914 4426.42 0.0 14339.64 8 \n",
"39 111914165.0 863474 4400.59 0.0 10977.90 5 \n",
"40 303211144.0 2252707 4347.21 0.0 8887.18 1 \n",
"41 303055396.0 2213838 4342.64 0.0 7029.48 4 \n",
"42 302651151.0 2117868 4315.47 0.0 39721.16 6 \n",
"43 0.0 2206590 4307.71 0.0 10735.79 6 \n",
"44 126119913.0 709344 4288.26 0.0 43865.27 25 \n",
"45 304065315.0 2341467 4253.31 0.0 35415.35 19 \n",
"46 300580392.0 839158 4208.70 0.0 19189.96 12 \n",
"47 303043853.0 2211750 4197.60 0.0 19251.40 11 \n",
"48 303246070.0 2261717 4181.56 0.0 56141.23 32 \n",
"49 302527901.0 2061878 4171.84 0.0 71587.67 44 \n",
"\n",
" pavadinimas \n",
"0 UAB \"BIOTECHA\" \n",
"1 UAB \"NDX ENERGIJA\" \n",
"2 UAB \"BIOMIN ANIMAL NUTRITION\" \n",
"3 UAB \"IDS BORJOMI EUROPE\" \n",
"4 CV KESKUS OU \n",
"5 VASTINT LITHUANIA, UAB \n",
"6 UAB \"ENERGOGRUPĖ\" \n",
"7 ORACLE EAST CENTRAL EUROPE LIMITED FILIALAS \n",
"8 BERTONA HOLDINGS LIMITED \n",
"9 UAB \"UBIQUITI NETWORKS EUROPE\" \n",
"10 UŽDAROJI AKCINĖ BENDROVĖ \"MARISA\" \n",
"11 GOOGLE LITHUANIA UAB \n",
"12 UAB \"JOHNSON & JOHNSON\" \n",
"13 SIA \"4FINANCE IT\" LIETUVOS FILIALAS \n",
"14 \"3M LIETUVA\", UAB \n",
"15 UAB \"ADVANTEC LIETUVA\" \n",
"16 TALKA LT, UAB \n",
"17 HUAWEI TECHNOLOGIES (VILNIUS), UAB \n",
"18 ABBVIE UAB \n",
"19 AMGEN SWITZERLAND AG VILNIAUS FILIALAS \n",
"20 COREBETA CONSULTING, UAB \n",
"21 UADBB IVP PARTNERS \n",
"22 UAB \"MICROSOFT LIETUVA\" \n",
"23 IKEA PURCHASING SERVICES (LITHUANIA), UAB \n",
"24 UAB \"SCHAGE REAL ESTATE\" \n",
"25 UAB \"ATOTECH-CHEMETA\" \n",
"26 DELL EMERGING MARKETS (EMEA) LIMITED \n",
"27 UAB \"MEDICINOS PROJEKTAI\" \n",
"28 ETL-BALTIC GROUP, UAB \n",
"29 RYANAIR LTD \n",
"30 AKCINĖ BENDROVĖ \"INVALDA PRIVATUS KAPITALAS\" \n",
"31 UAB \"BIONORICA LITHUANIA\" \n",
"32 LIETUVOS SPORTO FEDERACIJŲ SĄJUNGA \n",
"33 MERCK SERONO, UAB \n",
"34 UAB \"BULL BALTIJA\" \n",
"35 ARTECHNIKA UAB \n",
"36 UAB HEWLETT PACKARD VILNIUS \n",
"37 UŽDAROJI AKCINĖ BENDROVĖ \"EKSPLA\" \n",
"38 UŽDAROJI AKCINĖ BENDROVĖ \"MANUBALTAS\" \n",
"39 PENTAIR THERMAL MANAGEMENT NETHERLANDS B.V. AT... \n",
"40 FREY WILLE LIETUVA UAB \n",
"41 UAB \"ADAMA NORTHERN EUROPE\" \n",
"42 KREDITO UNIJA AMBER \n",
"43 LENOVO TECHNOLOGY B.V.,SIVULIIKE SUOMESSA \n",
"44 AB \"INTER RAO LIETUVA\" \n",
"45 MEDIAFON CARRIER SERVICES, UAB \n",
"46 UAB \"ROSHEN NORD\" \n",
"47 DRIVR DEVELOPMENT UAB \n",
"48 UBER LITHUANIA SOFTWARE AND DEVELOPMENT UAB \n",
"49 UAB \"NARBUTAS\" "
]
},
"execution_count": 138,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"top10 = data.fillna(0).sort_values('alga', ascending=False).head(50)\n",
"top10['pavadinimas'] = top10.kodas.apply(lambda x: get_org_name(str(int(x))))\n",
"top10.reset_index(drop=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Lygiai taip pat pasitikrinamo to top 10 mažiausius atlyginimus mokančių įmonių:"
]
},
{
"cell_type": "code",
"execution_count": 139,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>regnr</th>\n",
" <th>kodas</th>\n",
" <th>alga</th>\n",
" <th>autorine</th>\n",
" <th>viso</th>\n",
" <th>skaicius</th>\n",
" <th>pavadinimas</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>125326987.0</td>\n",
" <td>55883</td>\n",
" <td>0.90</td>\n",
" <td>NaN</td>\n",
" <td>1.80</td>\n",
" <td>6</td>\n",
" <td>UAB JURGINIO PROJEKTŲ MENEDŽMENTAS</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>304148519.0</td>\n",
" <td>2389208</td>\n",
" <td>2.08</td>\n",
" <td>NaN</td>\n",
" <td>3.39</td>\n",
" <td>2</td>\n",
" <td>UAB \"RINGA\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>110742830.0</td>\n",
" <td>453480</td>\n",
" <td>2.32</td>\n",
" <td>NaN</td>\n",
" <td>3.77</td>\n",
" <td>4</td>\n",
" <td>LIETUVOS IR LENKIJOS UŽDAROJI AKCINĖ BENDROVĖ ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>302555772.0</td>\n",
" <td>2071919</td>\n",
" <td>2.32</td>\n",
" <td>NaN</td>\n",
" <td>3.81</td>\n",
" <td>4</td>\n",
" <td>UAB \"GIRIOS TAKAS\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>302542351.0</td>\n",
" <td>2066490</td>\n",
" <td>2.32</td>\n",
" <td>NaN</td>\n",
" <td>10.28</td>\n",
" <td>1</td>\n",
" <td>UAB \"DIAMEDA\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>221360110.0</td>\n",
" <td>44070</td>\n",
" <td>2.32</td>\n",
" <td>NaN</td>\n",
" <td>3.87</td>\n",
" <td>4</td>\n",
" <td>UŽDAROJI AKCINĖ BENDROVĖ FIRMA \"ELMARKET\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>304400475.0</td>\n",
" <td>2820666</td>\n",
" <td>2.32</td>\n",
" <td>NaN</td>\n",
" <td>20.66</td>\n",
" <td>21</td>\n",
" <td>UAB \"ANTINAS\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>302651062.0</td>\n",
" <td>2117866</td>\n",
" <td>2.32</td>\n",
" <td>NaN</td>\n",
" <td>6.61</td>\n",
" <td>7</td>\n",
" <td>UAB \"SMITTER\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>302782282.0</td>\n",
" <td>2160744</td>\n",
" <td>2.32</td>\n",
" <td>NaN</td>\n",
" <td>4.70</td>\n",
" <td>5</td>\n",
" <td>UAB \"VINTEPA\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>303027411.0</td>\n",
" <td>2208242</td>\n",
" <td>2.32</td>\n",
" <td>NaN</td>\n",
" <td>3.77</td>\n",
" <td>4</td>\n",
" <td>UAB \"FERRYCO\"</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" regnr kodas alga autorine viso skaicius \\\n",
"0 125326987.0 55883 0.90 NaN 1.80 6 \n",
"1 304148519.0 2389208 2.08 NaN 3.39 2 \n",
"2 110742830.0 453480 2.32 NaN 3.77 4 \n",
"3 302555772.0 2071919 2.32 NaN 3.81 4 \n",
"4 302542351.0 2066490 2.32 NaN 10.28 1 \n",
"5 221360110.0 44070 2.32 NaN 3.87 4 \n",
"6 304400475.0 2820666 2.32 NaN 20.66 21 \n",
"7 302651062.0 2117866 2.32 NaN 6.61 7 \n",
"8 302782282.0 2160744 2.32 NaN 4.70 5 \n",
"9 303027411.0 2208242 2.32 NaN 3.77 4 \n",
"\n",
" pavadinimas \n",
"0 UAB JURGINIO PROJEKTŲ MENEDŽMENTAS \n",
"1 UAB \"RINGA\" \n",
"2 LIETUVOS IR LENKIJOS UŽDAROJI AKCINĖ BENDROVĖ ... \n",
"3 UAB \"GIRIOS TAKAS\" \n",
"4 UAB \"DIAMEDA\" \n",
"5 UŽDAROJI AKCINĖ BENDROVĖ FIRMA \"ELMARKET\" \n",
"6 UAB \"ANTINAS\" \n",
"7 UAB \"SMITTER\" \n",
"8 UAB \"VINTEPA\" \n",
"9 UAB \"FERRYCO\" "
]
},
"execution_count": 139,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bot10 = data[~data.alga.isnull()].sort_values('alga', ascending=True).head(10)\n",
"bot10['pavadinimas'] = bot10.kodas.apply(lambda x: get_org_name(str(int(x))))\n",
"bot10.reset_index(drop=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Pasitikrinam atlyginimų statistinį pasiskirstyma naudodami historamos grafiką, tik šį kartą atrenkame tik tas įmones, kurių vidutinis atlyginimas yra mažesnis už 5000€, kadangi iš dėžutės diagramos matėme, kad didžioji dauguma moka mažiau, kaip 5000€."
]
},
{
"cell_type": "code",
"execution_count": 122,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f353f27eef0>"
]
},
"execution_count": 122,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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UrAAdO3ny5NgjAD2Rb2iXfEO75BsYgpIVAAAAAGAGSlYAAAAAgBkoWQEAAAAAZqBkBejY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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f353e94fbe0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"data[data.alga < 5000].alga.plot.hist(bins=100, grid=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Žiūrim, darbuotojų skaičiaus statistinį pasiskirstymą:"
]
},
{
"cell_type": "code",
"execution_count": 123,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f353f13aef0>"
]
},
"execution_count": 123,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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JqbW2nmFVSildRAzDMETXda3HAQAAAIB9ZRzH6Ps+IqKvtY6t59mLK14BAAAAAGZm8QoA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\nAAAmZvEKAAAAADAxi1cAAAAAgIn9fxkls3BDYibPAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f353f27b5c0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"data.skaicius.plot.box(vert=False, showmeans=True, grid=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Kokios įmonės turi daugiausiai darbuotojų:"
]
},
{
"cell_type": "code",
"execution_count": 140,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>regnr</th>\n",
" <th>kodas</th>\n",
" <th>alga</th>\n",
" <th>autorine</th>\n",
" <th>viso</th>\n",
" <th>skaicius</th>\n",
" <th>pavadinimas</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>123033512.0</td>\n",
" <td>80333</td>\n",
" <td>547.70</td>\n",
" <td>NaN</td>\n",
" <td>3299667.48</td>\n",
" <td>15603</td>\n",
" <td>MAXIMA LT, UAB</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>110053842.0</td>\n",
" <td>63323</td>\n",
" <td>1057.62</td>\n",
" <td>NaN</td>\n",
" <td>4137056.92</td>\n",
" <td>9673</td>\n",
" <td>AKCINĖ BENDROVĖ \"LIETUVOS GELEŽINKELIAI\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>135163499.0</td>\n",
" <td>457339</td>\n",
" <td>733.95</td>\n",
" <td>NaN</td>\n",
" <td>2054480.34</td>\n",
" <td>7356</td>\n",
" <td>LIETUVOS SVEIKATOS MOKSLŲ UNIVERSITETO LIGONIN...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>110193723.0</td>\n",
" <td>62238</td>\n",
" <td>556.62</td>\n",
" <td>NaN</td>\n",
" <td>1572580.22</td>\n",
" <td>7353</td>\n",
" <td>UŽDAROJI AKCINĖ BENDROVĖ \"PALINK\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>121215587.0</td>\n",
" <td>42077</td>\n",
" <td>470.30</td>\n",
" <td>NaN</td>\n",
" <td>1075502.49</td>\n",
" <td>5651</td>\n",
" <td>AKCINĖ BENDROVĖ LIETUVOS PAŠTAS</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>211950810.0</td>\n",
" <td>49029</td>\n",
" <td>705.00</td>\n",
" <td>289.26</td>\n",
" <td>1320926.72</td>\n",
" <td>4822</td>\n",
" <td>VILNIAUS UNIVERSITETAS</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>124364561.0</td>\n",
" <td>59521</td>\n",
" <td>955.35</td>\n",
" <td>NaN</td>\n",
" <td>1573858.90</td>\n",
" <td>4308</td>\n",
" <td>VIEŠOJI ĮSTAIGA VILNIAUS UNIVERSITETO LIGONINĖ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>188732677.0</td>\n",
" <td>50484</td>\n",
" <td>724.47</td>\n",
" <td>NaN</td>\n",
" <td>465611.27</td>\n",
" <td>4108</td>\n",
" <td>LIETUVOS KARIUOMENĖ</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>234376520.0</td>\n",
" <td>434584</td>\n",
" <td>734.34</td>\n",
" <td>NaN</td>\n",
" <td>1083362.62</td>\n",
" <td>3784</td>\n",
" <td>UŽDAROJI AKCINĖ BENDROVĖ \"KESKO SENUKAI LITHUA...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>123715317.0</td>\n",
" <td>64083</td>\n",
" <td>595.47</td>\n",
" <td>NaN</td>\n",
" <td>782509.83</td>\n",
" <td>3385</td>\n",
" <td>UŽDAROJI AKCINĖ BENDROVĖ \"RIMI LIETUVA\"</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" regnr kodas alga autorine viso skaicius \\\n",
"0 123033512.0 80333 547.70 NaN 3299667.48 15603 \n",
"1 110053842.0 63323 1057.62 NaN 4137056.92 9673 \n",
"2 135163499.0 457339 733.95 NaN 2054480.34 7356 \n",
"3 110193723.0 62238 556.62 NaN 1572580.22 7353 \n",
"4 121215587.0 42077 470.30 NaN 1075502.49 5651 \n",
"5 211950810.0 49029 705.00 289.26 1320926.72 4822 \n",
"6 124364561.0 59521 955.35 NaN 1573858.90 4308 \n",
"7 188732677.0 50484 724.47 NaN 465611.27 4108 \n",
"8 234376520.0 434584 734.34 NaN 1083362.62 3784 \n",
"9 123715317.0 64083 595.47 NaN 782509.83 3385 \n",
"\n",
" pavadinimas \n",
"0 MAXIMA LT, UAB \n",
"1 AKCINĖ BENDROVĖ \"LIETUVOS GELEŽINKELIAI\" \n",
"2 LIETUVOS SVEIKATOS MOKSLŲ UNIVERSITETO LIGONIN... \n",
"3 UŽDAROJI AKCINĖ BENDROVĖ \"PALINK\" \n",
"4 AKCINĖ BENDROVĖ LIETUVOS PAŠTAS \n",
"5 VILNIAUS UNIVERSITETAS \n",
"6 VIEŠOJI ĮSTAIGA VILNIAUS UNIVERSITETO LIGONINĖ... \n",
"7 LIETUVOS KARIUOMENĖ \n",
"8 UŽDAROJI AKCINĖ BENDROVĖ \"KESKO SENUKAI LITHUA... \n",
"9 UŽDAROJI AKCINĖ BENDROVĖ \"RIMI LIETUVA\" "
]
},
"execution_count": 140,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"top10 = data.sort_values('skaicius', ascending=False).head(10)\n",
"top10['pavadinimas'] = top10.kodas.apply(lambda x: get_org_name(str(int(x))))\n",
"top10.reset_index(drop=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Įmonės, kurios turi daugiau nei 1000 darbuotojų, surūšiuotos pagal atlyginimo dydį:"
]
},
{
"cell_type": "code",
"execution_count": 141,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>regnr</th>\n",
" <th>kodas</th>\n",
" <th>alga</th>\n",
" <th>autorine</th>\n",
" <th>viso</th>\n",
" <th>skaicius</th>\n",
" <th>pavadinimas</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>302455964.0</td>\n",
" <td>2036302</td>\n",
" <td>1972.56</td>\n",
" <td>NaN</td>\n",
" <td>946817.08</td>\n",
" <td>1187</td>\n",
" <td>BARCLAYS GROUP OPERATIONS LIMITED LIETUVOS FIL...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>112029651.0</td>\n",
" <td>51021</td>\n",
" <td>1640.09</td>\n",
" <td>NaN</td>\n",
" <td>733689.31</td>\n",
" <td>1221</td>\n",
" <td>\"SWEDBANK\", AB</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>121215434.0</td>\n",
" <td>42307</td>\n",
" <td>1612.60</td>\n",
" <td>NaN</td>\n",
" <td>1167383.22</td>\n",
" <td>2238</td>\n",
" <td>TELIA LIETUVA, AB</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>301694694.0</td>\n",
" <td>1002281</td>\n",
" <td>1610.36</td>\n",
" <td>NaN</td>\n",
" <td>1320014.41</td>\n",
" <td>2088</td>\n",
" <td>DANSKE BANK A/S LIETUVOS FILIALAS</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>112021238.0</td>\n",
" <td>51024</td>\n",
" <td>1554.43</td>\n",
" <td>NaN</td>\n",
" <td>894792.73</td>\n",
" <td>1621</td>\n",
" <td>AB SEB BANKAS</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>166451720.0</td>\n",
" <td>285089</td>\n",
" <td>1463.84</td>\n",
" <td>NaN</td>\n",
" <td>791187.48</td>\n",
" <td>1361</td>\n",
" <td>AKCINĖ BENDROVĖ \"ORLEN LIETUVA\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>110051834.0</td>\n",
" <td>51060</td>\n",
" <td>1427.41</td>\n",
" <td>NaN</td>\n",
" <td>618673.02</td>\n",
" <td>1140</td>\n",
" <td>AKCINĖ BENDROVĖ \"LIETUVOS DRAUDIMAS\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>304151376.0</td>\n",
" <td>2390533</td>\n",
" <td>1414.39</td>\n",
" <td>878.28</td>\n",
" <td>1524555.21</td>\n",
" <td>2602</td>\n",
" <td>AB \"ENERGIJOS SKIRSTYMO OPERATORIUS\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>112029270.0</td>\n",
" <td>51018</td>\n",
" <td>1410.10</td>\n",
" <td>NaN</td>\n",
" <td>615424.53</td>\n",
" <td>1205</td>\n",
" <td>AB DNB BANKAS</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>188613242.0</td>\n",
" <td>51135</td>\n",
" <td>1379.71</td>\n",
" <td>NaN</td>\n",
" <td>549709.88</td>\n",
" <td>1141</td>\n",
" <td>LIETUVOS RESPUBLIKOS UŽSIENIO REIKALŲ MINISTERIJA</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" regnr kodas alga autorine viso skaicius \\\n",
"0 302455964.0 2036302 1972.56 NaN 946817.08 1187 \n",
"1 112029651.0 51021 1640.09 NaN 733689.31 1221 \n",
"2 121215434.0 42307 1612.60 NaN 1167383.22 2238 \n",
"3 301694694.0 1002281 1610.36 NaN 1320014.41 2088 \n",
"4 112021238.0 51024 1554.43 NaN 894792.73 1621 \n",
"5 166451720.0 285089 1463.84 NaN 791187.48 1361 \n",
"6 110051834.0 51060 1427.41 NaN 618673.02 1140 \n",
"7 304151376.0 2390533 1414.39 878.28 1524555.21 2602 \n",
"8 112029270.0 51018 1410.10 NaN 615424.53 1205 \n",
"9 188613242.0 51135 1379.71 NaN 549709.88 1141 \n",
"\n",
" pavadinimas \n",
"0 BARCLAYS GROUP OPERATIONS LIMITED LIETUVOS FIL... \n",
"1 \"SWEDBANK\", AB \n",
"2 TELIA LIETUVA, AB \n",
"3 DANSKE BANK A/S LIETUVOS FILIALAS \n",
"4 AB SEB BANKAS \n",
"5 AKCINĖ BENDROVĖ \"ORLEN LIETUVA\" \n",
"6 AKCINĖ BENDROVĖ \"LIETUVOS DRAUDIMAS\" \n",
"7 AB \"ENERGIJOS SKIRSTYMO OPERATORIUS\" \n",
"8 AB DNB BANKAS \n",
"9 LIETUVOS RESPUBLIKOS UŽSIENIO REIKALŲ MINISTERIJA "
]
},
"execution_count": 141,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"top10 = data[data.skaicius > 1000].sort_values('alga', ascending=False).head(10)\n",
"top10['pavadinimas'] = top10.kodas.apply(lambda x: get_org_name(str(int(x))))\n",
"top10.reset_index(drop=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Įmonės virš 1000 darbuotojų, bet mokančios mažiausius atlyginimus:"
]
},
{
"cell_type": "code",
"execution_count": 142,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>regnr</th>\n",
" <th>kodas</th>\n",
" <th>alga</th>\n",
" <th>autorine</th>\n",
" <th>viso</th>\n",
" <th>skaicius</th>\n",
" <th>pavadinimas</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>302496427.0</td>\n",
" <td>2051702</td>\n",
" <td>255.97</td>\n",
" <td>NaN</td>\n",
" <td>104750.96</td>\n",
" <td>1023</td>\n",
" <td>UŽDAROJI AKCINĖ BENDROVĖ \"SOCIALINĖ INTEGRACIJA\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>242156050.0</td>\n",
" <td>925291</td>\n",
" <td>334.07</td>\n",
" <td>NaN</td>\n",
" <td>332308.27</td>\n",
" <td>2392</td>\n",
" <td>UAB \"HEADEX\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>300055900.0</td>\n",
" <td>736599</td>\n",
" <td>384.33</td>\n",
" <td>NaN</td>\n",
" <td>341854.86</td>\n",
" <td>2028</td>\n",
" <td>UAB \"BIURO\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>303297727.0</td>\n",
" <td>2272789</td>\n",
" <td>388.22</td>\n",
" <td>NaN</td>\n",
" <td>160451.51</td>\n",
" <td>1024</td>\n",
" <td>UAB \"MANO APLINKA\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>122755433.0</td>\n",
" <td>81092</td>\n",
" <td>427.93</td>\n",
" <td>208.07</td>\n",
" <td>284418.65</td>\n",
" <td>1565</td>\n",
" <td>UŽDAROJI AKCINĖ BENDROVĖ \"EKSKOMISARŲ BIURAS\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>301675046.0</td>\n",
" <td>1020217</td>\n",
" <td>447.34</td>\n",
" <td>NaN</td>\n",
" <td>199547.05</td>\n",
" <td>1081</td>\n",
" <td>AMBER FOOD, UAB</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>121215587.0</td>\n",
" <td>42077</td>\n",
" <td>470.30</td>\n",
" <td>NaN</td>\n",
" <td>1075502.49</td>\n",
" <td>5651</td>\n",
" <td>AKCINĖ BENDROVĖ LIETUVOS PAŠTAS</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>303342720.0</td>\n",
" <td>2285582</td>\n",
" <td>496.79</td>\n",
" <td>NaN</td>\n",
" <td>179897.88</td>\n",
" <td>1005</td>\n",
" <td>UAB \"GIRMETA\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>141237452.0</td>\n",
" <td>340520</td>\n",
" <td>513.00</td>\n",
" <td>NaN</td>\n",
" <td>254210.04</td>\n",
" <td>1243</td>\n",
" <td>UAB SAUGOS TARNYBA \"ARGUS\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>302714071.0</td>\n",
" <td>2140255</td>\n",
" <td>544.01</td>\n",
" <td>NaN</td>\n",
" <td>196349.65</td>\n",
" <td>1018</td>\n",
" <td>UAB \"TERMOLITA\"</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" regnr kodas alga autorine viso skaicius \\\n",
"0 302496427.0 2051702 255.97 NaN 104750.96 1023 \n",
"1 242156050.0 925291 334.07 NaN 332308.27 2392 \n",
"2 300055900.0 736599 384.33 NaN 341854.86 2028 \n",
"3 303297727.0 2272789 388.22 NaN 160451.51 1024 \n",
"4 122755433.0 81092 427.93 208.07 284418.65 1565 \n",
"5 301675046.0 1020217 447.34 NaN 199547.05 1081 \n",
"6 121215587.0 42077 470.30 NaN 1075502.49 5651 \n",
"7 303342720.0 2285582 496.79 NaN 179897.88 1005 \n",
"8 141237452.0 340520 513.00 NaN 254210.04 1243 \n",
"9 302714071.0 2140255 544.01 NaN 196349.65 1018 \n",
"\n",
" pavadinimas \n",
"0 UŽDAROJI AKCINĖ BENDROVĖ \"SOCIALINĖ INTEGRACIJA\" \n",
"1 UAB \"HEADEX\" \n",
"2 UAB \"BIURO\" \n",
"3 UAB \"MANO APLINKA\" \n",
"4 UŽDAROJI AKCINĖ BENDROVĖ \"EKSKOMISARŲ BIURAS\" \n",
"5 AMBER FOOD, UAB \n",
"6 AKCINĖ BENDROVĖ LIETUVOS PAŠTAS \n",
"7 UAB \"GIRMETA\" \n",
"8 UAB SAUGOS TARNYBA \"ARGUS\" \n",
"9 UAB \"TERMOLITA\" "
]
},
"execution_count": 142,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"top10 = data[(data.skaicius > 1000) & (~data.alga.isnull())].sort_values('alga', ascending=True).head(10)\n",
"top10['pavadinimas'] = top10.kodas.apply(lambda x: get_org_name(str(int(x))))\n",
"top10.reset_index(drop=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Įmonės virš 2000 darbuotojų, bet mokančius mažiausius atlyginimus:"
]
},
{
"cell_type": "code",
"execution_count": 143,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>regnr</th>\n",
" <th>kodas</th>\n",
" <th>alga</th>\n",
" <th>autorine</th>\n",
" <th>viso</th>\n",
" <th>skaicius</th>\n",
" <th>pavadinimas</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>242156050.0</td>\n",
" <td>925291</td>\n",
" <td>334.07</td>\n",
" <td>NaN</td>\n",
" <td>332308.27</td>\n",
" <td>2392</td>\n",
" <td>UAB \"HEADEX\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>300055900.0</td>\n",
" <td>736599</td>\n",
" <td>384.33</td>\n",
" <td>NaN</td>\n",
" <td>341854.86</td>\n",
" <td>2028</td>\n",
" <td>UAB \"BIURO\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>121215587.0</td>\n",
" <td>42077</td>\n",
" <td>470.30</td>\n",
" <td>NaN</td>\n",
" <td>1075502.49</td>\n",
" <td>5651</td>\n",
" <td>AKCINĖ BENDROVĖ LIETUVOS PAŠTAS</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>123033512.0</td>\n",
" <td>80333</td>\n",
" <td>547.70</td>\n",
" <td>NaN</td>\n",
" <td>3299667.48</td>\n",
" <td>15603</td>\n",
" <td>MAXIMA LT, UAB</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>110193723.0</td>\n",
" <td>62238</td>\n",
" <td>556.62</td>\n",
" <td>NaN</td>\n",
" <td>1572580.22</td>\n",
" <td>7353</td>\n",
" <td>UŽDAROJI AKCINĖ BENDROVĖ \"PALINK\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>110778328.0</td>\n",
" <td>62459</td>\n",
" <td>572.26</td>\n",
" <td>NaN</td>\n",
" <td>742104.46</td>\n",
" <td>3369</td>\n",
" <td>UŽDAROJI AKCINĖ BENDROVĖ \"NORFOS MAŽMENA\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>123715317.0</td>\n",
" <td>64083</td>\n",
" <td>595.47</td>\n",
" <td>NaN</td>\n",
" <td>782509.83</td>\n",
" <td>3385</td>\n",
" <td>UŽDAROJI AKCINĖ BENDROVĖ \"RIMI LIETUVA\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>302583800.0</td>\n",
" <td>2088935</td>\n",
" <td>666.00</td>\n",
" <td>NaN</td>\n",
" <td>525152.38</td>\n",
" <td>2006</td>\n",
" <td>VIEŠOJI ĮSTAIGA KAUNO KLINIKINĖ LIGONINĖ</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>111502432.0</td>\n",
" <td>136857</td>\n",
" <td>668.95</td>\n",
" <td>NaN</td>\n",
" <td>519995.58</td>\n",
" <td>2032</td>\n",
" <td>UŽDAROJI AKCINĖ BENDROVĖ \"INTERSURGICAL\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>211950810.0</td>\n",
" <td>49029</td>\n",
" <td>705.00</td>\n",
" <td>289.26</td>\n",
" <td>1320926.72</td>\n",
" <td>4822</td>\n",
" <td>VILNIAUS UNIVERSITETAS</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" regnr kodas alga autorine viso skaicius \\\n",
"0 242156050.0 925291 334.07 NaN 332308.27 2392 \n",
"1 300055900.0 736599 384.33 NaN 341854.86 2028 \n",
"2 121215587.0 42077 470.30 NaN 1075502.49 5651 \n",
"3 123033512.0 80333 547.70 NaN 3299667.48 15603 \n",
"4 110193723.0 62238 556.62 NaN 1572580.22 7353 \n",
"5 110778328.0 62459 572.26 NaN 742104.46 3369 \n",
"6 123715317.0 64083 595.47 NaN 782509.83 3385 \n",
"7 302583800.0 2088935 666.00 NaN 525152.38 2006 \n",
"8 111502432.0 136857 668.95 NaN 519995.58 2032 \n",
"9 211950810.0 49029 705.00 289.26 1320926.72 4822 \n",
"\n",
" pavadinimas \n",
"0 UAB \"HEADEX\" \n",
"1 UAB \"BIURO\" \n",
"2 AKCINĖ BENDROVĖ LIETUVOS PAŠTAS \n",
"3 MAXIMA LT, UAB \n",
"4 UŽDAROJI AKCINĖ BENDROVĖ \"PALINK\" \n",
"5 UŽDAROJI AKCINĖ BENDROVĖ \"NORFOS MAŽMENA\" \n",
"6 UŽDAROJI AKCINĖ BENDROVĖ \"RIMI LIETUVA\" \n",
"7 VIEŠOJI ĮSTAIGA KAUNO KLINIKINĖ LIGONINĖ \n",
"8 UŽDAROJI AKCINĖ BENDROVĖ \"INTERSURGICAL\" \n",
"9 VILNIAUS UNIVERSITETAS "
]
},
"execution_count": 143,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"top10 = data[(data.skaicius > 2000) & (~data.alga.isnull())].sort_values('alga', ascending=True).head(10)\n",
"top10['pavadinimas'] = top10.kodas.apply(lambda x: get_org_name(str(int(x))))\n",
"top10.reset_index(drop=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Įmonių statistinis pasiskirstymas pagal darbuotojų skaičiu, histogramos grafike (tik tos įmonės, kurios turi mažiau kaip 500 darbuotojų):"
]
},
{
"cell_type": "code",
"execution_count": 136,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f353d71c5c0>"
]
},
"execution_count": 136,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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Su5M8McnuJK/tag4AAAAAYG1aE8FrKeW8UspPJXlfkqfn9KHr45K8PMmJJJtrrY9Osj7J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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f353f6007f0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"data[data.skaicius < 500].skaicius.plot.hist(bins=200, grid=True, logx=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Kas gauna didžiausius autorinius atlyginimus?"
]
},
{
"cell_type": "code",
"execution_count": 144,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>regnr</th>\n",
" <th>kodas</th>\n",
" <th>alga</th>\n",
" <th>autorine</th>\n",
" <th>viso</th>\n",
" <th>skaicius</th>\n",
" <th>pavadinimas</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>302811111.0</td>\n",
" <td>2169309</td>\n",
" <td>1937.17</td>\n",
" <td>13752.60</td>\n",
" <td>40737.27</td>\n",
" <td>20</td>\n",
" <td>VŠĮ \"ŽALGIRIO KREPŠINIO CENTRAS\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>156673480.0</td>\n",
" <td>421711</td>\n",
" <td>3322.04</td>\n",
" <td>10770.84</td>\n",
" <td>57419.00</td>\n",
" <td>40</td>\n",
" <td>UAB KONCERNAS \"ACHEMOS GRUPĖ\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>225880090.0</td>\n",
" <td>704053</td>\n",
" <td>2858.40</td>\n",
" <td>4745.83</td>\n",
" <td>46709.60</td>\n",
" <td>20</td>\n",
" <td>VIEŠOJI ĮSTAIGA \"KREPŠINIO RYTAS\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>301048677.0</td>\n",
" <td>241732</td>\n",
" <td>552.50</td>\n",
" <td>3000.00</td>\n",
" <td>10335.97</td>\n",
" <td>4</td>\n",
" <td>VŠĮ KREPŠINIO KLUBAS \"LIETKABELIS\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>190753924.0</td>\n",
" <td>41060</td>\n",
" <td>810.01</td>\n",
" <td>2330.29</td>\n",
" <td>62930.90</td>\n",
" <td>173</td>\n",
" <td>LIETUVOS NACIONALINIS DRAMOS TEATRAS</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>123615345.0</td>\n",
" <td>59439</td>\n",
" <td>1358.20</td>\n",
" <td>1782.00</td>\n",
" <td>56236.01</td>\n",
" <td>104</td>\n",
" <td>SAVIVALDYBĖS ĮMONĖ \"VILNIAUS PLANAS\"</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>126046828.0</td>\n",
" <td>707258</td>\n",
" <td>418.46</td>\n",
" <td>1576.42</td>\n",
" <td>4226.33</td>\n",
" <td>7</td>\n",
" <td>VIEŠOJI ĮSTAIGA \"PRO S\" STUDIJA</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>221387310.0</td>\n",
" <td>50365</td>\n",
" <td>780.42</td>\n",
" <td>1426.67</td>\n",
" <td>27715.55</td>\n",
" <td>52</td>\n",
" <td>UŽDAROJI AKCINĖ BENDROVĖ \"VILNIAUS ARCHITEKTŪR...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>135268055.0</td>\n",
" <td>458058</td>\n",
" <td>2370.00</td>\n",
" <td>1390.67</td>\n",
" <td>8026.81</td>\n",
" <td>5</td>\n",
" <td>UŽDAROJI AKCINĖ BENDROVĖ \"BE TABU\" IR KO</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>300083173.0</td>\n",
" <td>741211</td>\n",
" <td>1641.84</td>\n",
" <td>1209.20</td>\n",
" <td>7595.65</td>\n",
" <td>5</td>\n",
" <td>UAB \"FRIDAY PRODUCTIONS\"</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" regnr kodas alga autorine viso skaicius \\\n",
"0 302811111.0 2169309 1937.17 13752.60 40737.27 20 \n",
"1 156673480.0 421711 3322.04 10770.84 57419.00 40 \n",
"2 225880090.0 704053 2858.40 4745.83 46709.60 20 \n",
"3 301048677.0 241732 552.50 3000.00 10335.97 4 \n",
"4 190753924.0 41060 810.01 2330.29 62930.90 173 \n",
"5 123615345.0 59439 1358.20 1782.00 56236.01 104 \n",
"6 126046828.0 707258 418.46 1576.42 4226.33 7 \n",
"7 221387310.0 50365 780.42 1426.67 27715.55 52 \n",
"8 135268055.0 458058 2370.00 1390.67 8026.81 5 \n",
"9 300083173.0 741211 1641.84 1209.20 7595.65 5 \n",
"\n",
" pavadinimas \n",
"0 VŠĮ \"ŽALGIRIO KREPŠINIO CENTRAS\" \n",
"1 UAB KONCERNAS \"ACHEMOS GRUPĖ\" \n",
"2 VIEŠOJI ĮSTAIGA \"KREPŠINIO RYTAS\" \n",
"3 VŠĮ KREPŠINIO KLUBAS \"LIETKABELIS\" \n",
"4 LIETUVOS NACIONALINIS DRAMOS TEATRAS \n",
"5 SAVIVALDYBĖS ĮMONĖ \"VILNIAUS PLANAS\" \n",
"6 VIEŠOJI ĮSTAIGA \"PRO S\" STUDIJA \n",
"7 UŽDAROJI AKCINĖ BENDROVĖ \"VILNIAUS ARCHITEKTŪR... \n",
"8 UŽDAROJI AKCINĖ BENDROVĖ \"BE TABU\" IR KO \n",
"9 UAB \"FRIDAY PRODUCTIONS\" "
]
},
"execution_count": 144,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"top10 = data[~data.autorine.isnull()].sort_values('autorine', ascending=False).head(10)\n",
"top10['pavadinimas'] = top10.kodas.apply(lambda x: get_org_name(str(int(x))))\n",
"top10.reset_index(drop=True)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.5.2"
}
},
"nbformat": 4,
"nbformat_minor": 1
}
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