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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# IMPORTING DATA"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import pandas as pd"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Method 1: Specify Full Path to File"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# Windows:\n",
"stats = pd.read_csv('C:\\\\Users\\\\sstallworth\\\\DemographicData.csv')\n",
" \n",
"# Mac\n",
"#stats = pd.read_csv('C:/myfile.csv') # forward slashes"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Method 2: Change Working Directory"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import os"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"C:\\Users\\sstallworth\n"
]
}
],
"source": [
"print(os.getcwd())"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"stats2= pd.read_csv('DemographicData.csv')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# EXPLORING YOUR DATA"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Country Name</th>\n",
" <th>Country Code</th>\n",
" <th>Birth rate</th>\n",
" <th>Internet users</th>\n",
" <th>Income Group</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Aruba</td>\n",
" <td>ABW</td>\n",
" <td>10.244</td>\n",
" <td>78.90000</td>\n",
" <td>High income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Afghanistan</td>\n",
" <td>AFG</td>\n",
" <td>35.253</td>\n",
" <td>5.90000</td>\n",
" <td>Low income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Angola</td>\n",
" <td>AGO</td>\n",
" <td>45.985</td>\n",
" <td>19.10000</td>\n",
" <td>Upper middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Albania</td>\n",
" <td>ALB</td>\n",
" <td>12.877</td>\n",
" <td>57.20000</td>\n",
" <td>Upper middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>United Arab Emirates</td>\n",
" <td>ARE</td>\n",
" <td>11.044</td>\n",
" <td>88.00000</td>\n",
" <td>High income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>Argentina</td>\n",
" <td>ARG</td>\n",
" <td>17.716</td>\n",
" <td>59.90000</td>\n",
" <td>High income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>Armenia</td>\n",
" <td>ARM</td>\n",
" <td>13.308</td>\n",
" <td>41.90000</td>\n",
" <td>Lower middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>Antigua and Barbuda</td>\n",
" <td>ATG</td>\n",
" <td>16.447</td>\n",
" <td>63.40000</td>\n",
" <td>High income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>Australia</td>\n",
" <td>AUS</td>\n",
" <td>13.200</td>\n",
" <td>83.00000</td>\n",
" <td>High income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>Austria</td>\n",
" <td>AUT</td>\n",
" <td>9.400</td>\n",
" <td>80.61880</td>\n",
" <td>High income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>Azerbaijan</td>\n",
" <td>AZE</td>\n",
" <td>18.300</td>\n",
" <td>58.70000</td>\n",
" <td>Upper middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>Burundi</td>\n",
" <td>BDI</td>\n",
" <td>44.151</td>\n",
" <td>1.30000</td>\n",
" <td>Low income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>Belgium</td>\n",
" <td>BEL</td>\n",
" <td>11.200</td>\n",
" <td>82.17020</td>\n",
" <td>High income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>Benin</td>\n",
" <td>BEN</td>\n",
" <td>36.440</td>\n",
" <td>4.90000</td>\n",
" <td>Low income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>Burkina Faso</td>\n",
" <td>BFA</td>\n",
" <td>40.551</td>\n",
" <td>9.10000</td>\n",
" <td>Low income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>Bangladesh</td>\n",
" <td>BGD</td>\n",
" <td>20.142</td>\n",
" <td>6.63000</td>\n",
" <td>Lower middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>Bulgaria</td>\n",
" <td>BGR</td>\n",
" <td>9.200</td>\n",
" <td>53.06150</td>\n",
" <td>Upper middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>Bahrain</td>\n",
" <td>BHR</td>\n",
" <td>15.040</td>\n",
" <td>90.00004</td>\n",
" <td>High income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>Bahamas, The</td>\n",
" <td>BHS</td>\n",
" <td>15.339</td>\n",
" <td>72.00000</td>\n",
" <td>High income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>Bosnia and Herzegovina</td>\n",
" <td>BIH</td>\n",
" <td>9.062</td>\n",
" <td>57.79000</td>\n",
" <td>Upper middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>Belarus</td>\n",
" <td>BLR</td>\n",
" <td>12.500</td>\n",
" <td>54.17000</td>\n",
" <td>Upper middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>Belize</td>\n",
" <td>BLZ</td>\n",
" <td>23.092</td>\n",
" <td>33.60000</td>\n",
" <td>Upper middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>Bermuda</td>\n",
" <td>BMU</td>\n",
" <td>10.400</td>\n",
" <td>95.30000</td>\n",
" <td>High income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>Bolivia</td>\n",
" <td>BOL</td>\n",
" <td>24.236</td>\n",
" <td>36.94000</td>\n",
" <td>Lower middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>Brazil</td>\n",
" <td>BRA</td>\n",
" <td>14.931</td>\n",
" <td>51.04000</td>\n",
" <td>Upper middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>Barbados</td>\n",
" <td>BRB</td>\n",
" <td>12.188</td>\n",
" <td>73.00000</td>\n",
" <td>High income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>Brunei Darussalam</td>\n",
" <td>BRN</td>\n",
" <td>16.405</td>\n",
" <td>64.50000</td>\n",
" <td>High income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>Bhutan</td>\n",
" <td>BTN</td>\n",
" <td>18.134</td>\n",
" <td>29.90000</td>\n",
" <td>Lower middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>Botswana</td>\n",
" <td>BWA</td>\n",
" <td>25.267</td>\n",
" <td>15.00000</td>\n",
" <td>Upper middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>Central African Republic</td>\n",
" <td>CAF</td>\n",
" <td>34.076</td>\n",
" <td>3.50000</td>\n",
" <td>Low income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>165</th>\n",
" <td>Seychelles</td>\n",
" <td>SYC</td>\n",
" <td>18.600</td>\n",
" <td>50.40000</td>\n",
" <td>High income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166</th>\n",
" <td>Syrian Arab Republic</td>\n",
" <td>SYR</td>\n",
" <td>24.043</td>\n",
" <td>26.20000</td>\n",
" <td>Lower middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>167</th>\n",
" <td>Chad</td>\n",
" <td>TCD</td>\n",
" <td>45.745</td>\n",
" <td>2.30000</td>\n",
" <td>Low income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>168</th>\n",
" <td>Togo</td>\n",
" <td>TGO</td>\n",
" <td>36.080</td>\n",
" <td>4.50000</td>\n",
" <td>Low income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>169</th>\n",
" <td>Thailand</td>\n",
" <td>THA</td>\n",
" <td>11.041</td>\n",
" <td>28.94000</td>\n",
" <td>Upper middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>170</th>\n",
" <td>Tajikistan</td>\n",
" <td>TJK</td>\n",
" <td>30.792</td>\n",
" <td>16.00000</td>\n",
" <td>Lower middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>171</th>\n",
" <td>Turkmenistan</td>\n",
" <td>TKM</td>\n",
" <td>21.322</td>\n",
" <td>9.60000</td>\n",
" <td>Upper middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>172</th>\n",
" <td>Timor-Leste</td>\n",
" <td>TLS</td>\n",
" <td>35.755</td>\n",
" <td>1.10000</td>\n",
" <td>Lower middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>173</th>\n",
" <td>Tonga</td>\n",
" <td>TON</td>\n",
" <td>25.409</td>\n",
" <td>35.00000</td>\n",
" <td>Upper middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>174</th>\n",
" <td>Trinidad and Tobago</td>\n",
" <td>TTO</td>\n",
" <td>14.590</td>\n",
" <td>63.80000</td>\n",
" <td>High income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>175</th>\n",
" <td>Tunisia</td>\n",
" <td>TUN</td>\n",
" <td>19.800</td>\n",
" <td>43.80000</td>\n",
" <td>Upper middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>176</th>\n",
" <td>Turkey</td>\n",
" <td>TUR</td>\n",
" <td>16.836</td>\n",
" <td>46.25000</td>\n",
" <td>Upper middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>177</th>\n",
" <td>Tanzania</td>\n",
" <td>TZA</td>\n",
" <td>39.518</td>\n",
" <td>4.40000</td>\n",
" <td>Low income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>178</th>\n",
" <td>Uganda</td>\n",
" <td>UGA</td>\n",
" <td>43.474</td>\n",
" <td>16.20000</td>\n",
" <td>Low income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>179</th>\n",
" <td>Ukraine</td>\n",
" <td>UKR</td>\n",
" <td>11.100</td>\n",
" <td>41.00000</td>\n",
" <td>Lower middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>180</th>\n",
" <td>Uruguay</td>\n",
" <td>URY</td>\n",
" <td>14.374</td>\n",
" <td>57.69000</td>\n",
" <td>High income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>181</th>\n",
" <td>United States</td>\n",
" <td>USA</td>\n",
" <td>12.500</td>\n",
" <td>84.20000</td>\n",
" <td>High income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>182</th>\n",
" <td>Uzbekistan</td>\n",
" <td>UZB</td>\n",
" <td>22.500</td>\n",
" <td>38.20000</td>\n",
" <td>Lower middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>183</th>\n",
" <td>St. Vincent and the Grenadines</td>\n",
" <td>VCT</td>\n",
" <td>16.306</td>\n",
" <td>52.00000</td>\n",
" <td>Upper middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>184</th>\n",
" <td>Venezuela, RB</td>\n",
" <td>VEN</td>\n",
" <td>19.842</td>\n",
" <td>54.90000</td>\n",
" <td>High income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>185</th>\n",
" <td>Virgin Islands (U.S.)</td>\n",
" <td>VIR</td>\n",
" <td>10.700</td>\n",
" <td>45.30000</td>\n",
" <td>High income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>186</th>\n",
" <td>Vietnam</td>\n",
" <td>VNM</td>\n",
" <td>15.537</td>\n",
" <td>43.90000</td>\n",
" <td>Lower middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>187</th>\n",
" <td>Vanuatu</td>\n",
" <td>VUT</td>\n",
" <td>26.739</td>\n",
" <td>11.30000</td>\n",
" <td>Lower middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>188</th>\n",
" <td>West Bank and Gaza</td>\n",
" <td>PSE</td>\n",
" <td>30.394</td>\n",
" <td>46.60000</td>\n",
" <td>Lower middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>189</th>\n",
" <td>Samoa</td>\n",
" <td>WSM</td>\n",
" <td>26.172</td>\n",
" <td>15.30000</td>\n",
" <td>Lower middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>190</th>\n",
" <td>Yemen, Rep.</td>\n",
" <td>YEM</td>\n",
" <td>32.947</td>\n",
" <td>20.00000</td>\n",
" <td>Lower middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>191</th>\n",
" <td>South Africa</td>\n",
" <td>ZAF</td>\n",
" <td>20.850</td>\n",
" <td>46.50000</td>\n",
" <td>Upper middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>192</th>\n",
" <td>Congo, Dem. Rep.</td>\n",
" <td>COD</td>\n",
" <td>42.394</td>\n",
" <td>2.20000</td>\n",
" <td>Low income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>193</th>\n",
" <td>Zambia</td>\n",
" <td>ZMB</td>\n",
" <td>40.471</td>\n",
" <td>15.40000</td>\n",
" <td>Lower middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>194</th>\n",
" <td>Zimbabwe</td>\n",
" <td>ZWE</td>\n",
" <td>35.715</td>\n",
" <td>18.50000</td>\n",
" <td>Low income</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>195 rows × 5 columns</p>\n",
"</div>"
],
"text/plain": [
" Country Name Country Code Birth rate Internet users \\\n",
"0 Aruba ABW 10.244 78.90000 \n",
"1 Afghanistan AFG 35.253 5.90000 \n",
"2 Angola AGO 45.985 19.10000 \n",
"3 Albania ALB 12.877 57.20000 \n",
"4 United Arab Emirates ARE 11.044 88.00000 \n",
"5 Argentina ARG 17.716 59.90000 \n",
"6 Armenia ARM 13.308 41.90000 \n",
"7 Antigua and Barbuda ATG 16.447 63.40000 \n",
"8 Australia AUS 13.200 83.00000 \n",
"9 Austria AUT 9.400 80.61880 \n",
"10 Azerbaijan AZE 18.300 58.70000 \n",
"11 Burundi BDI 44.151 1.30000 \n",
"12 Belgium BEL 11.200 82.17020 \n",
"13 Benin BEN 36.440 4.90000 \n",
"14 Burkina Faso BFA 40.551 9.10000 \n",
"15 Bangladesh BGD 20.142 6.63000 \n",
"16 Bulgaria BGR 9.200 53.06150 \n",
"17 Bahrain BHR 15.040 90.00004 \n",
"18 Bahamas, The BHS 15.339 72.00000 \n",
"19 Bosnia and Herzegovina BIH 9.062 57.79000 \n",
"20 Belarus BLR 12.500 54.17000 \n",
"21 Belize BLZ 23.092 33.60000 \n",
"22 Bermuda BMU 10.400 95.30000 \n",
"23 Bolivia BOL 24.236 36.94000 \n",
"24 Brazil BRA 14.931 51.04000 \n",
"25 Barbados BRB 12.188 73.00000 \n",
"26 Brunei Darussalam BRN 16.405 64.50000 \n",
"27 Bhutan BTN 18.134 29.90000 \n",
"28 Botswana BWA 25.267 15.00000 \n",
"29 Central African Republic CAF 34.076 3.50000 \n",
".. ... ... ... ... \n",
"165 Seychelles SYC 18.600 50.40000 \n",
"166 Syrian Arab Republic SYR 24.043 26.20000 \n",
"167 Chad TCD 45.745 2.30000 \n",
"168 Togo TGO 36.080 4.50000 \n",
"169 Thailand THA 11.041 28.94000 \n",
"170 Tajikistan TJK 30.792 16.00000 \n",
"171 Turkmenistan TKM 21.322 9.60000 \n",
"172 Timor-Leste TLS 35.755 1.10000 \n",
"173 Tonga TON 25.409 35.00000 \n",
"174 Trinidad and Tobago TTO 14.590 63.80000 \n",
"175 Tunisia TUN 19.800 43.80000 \n",
"176 Turkey TUR 16.836 46.25000 \n",
"177 Tanzania TZA 39.518 4.40000 \n",
"178 Uganda UGA 43.474 16.20000 \n",
"179 Ukraine UKR 11.100 41.00000 \n",
"180 Uruguay URY 14.374 57.69000 \n",
"181 United States USA 12.500 84.20000 \n",
"182 Uzbekistan UZB 22.500 38.20000 \n",
"183 St. Vincent and the Grenadines VCT 16.306 52.00000 \n",
"184 Venezuela, RB VEN 19.842 54.90000 \n",
"185 Virgin Islands (U.S.) VIR 10.700 45.30000 \n",
"186 Vietnam VNM 15.537 43.90000 \n",
"187 Vanuatu VUT 26.739 11.30000 \n",
"188 West Bank and Gaza PSE 30.394 46.60000 \n",
"189 Samoa WSM 26.172 15.30000 \n",
"190 Yemen, Rep. YEM 32.947 20.00000 \n",
"191 South Africa ZAF 20.850 46.50000 \n",
"192 Congo, Dem. Rep. COD 42.394 2.20000 \n",
"193 Zambia ZMB 40.471 15.40000 \n",
"194 Zimbabwe ZWE 35.715 18.50000 \n",
"\n",
" Income Group \n",
"0 High income \n",
"1 Low income \n",
"2 Upper middle income \n",
"3 Upper middle income \n",
"4 High income \n",
"5 High income \n",
"6 Lower middle income \n",
"7 High income \n",
"8 High income \n",
"9 High income \n",
"10 Upper middle income \n",
"11 Low income \n",
"12 High income \n",
"13 Low income \n",
"14 Low income \n",
"15 Lower middle income \n",
"16 Upper middle income \n",
"17 High income \n",
"18 High income \n",
"19 Upper middle income \n",
"20 Upper middle income \n",
"21 Upper middle income \n",
"22 High income \n",
"23 Lower middle income \n",
"24 Upper middle income \n",
"25 High income \n",
"26 High income \n",
"27 Lower middle income \n",
"28 Upper middle income \n",
"29 Low income \n",
".. ... \n",
"165 High income \n",
"166 Lower middle income \n",
"167 Low income \n",
"168 Low income \n",
"169 Upper middle income \n",
"170 Lower middle income \n",
"171 Upper middle income \n",
"172 Lower middle income \n",
"173 Upper middle income \n",
"174 High income \n",
"175 Upper middle income \n",
"176 Upper middle income \n",
"177 Low income \n",
"178 Low income \n",
"179 Lower middle income \n",
"180 High income \n",
"181 High income \n",
"182 Lower middle income \n",
"183 Upper middle income \n",
"184 High income \n",
"185 High income \n",
"186 Lower middle income \n",
"187 Lower middle income \n",
"188 Lower middle income \n",
"189 Lower middle income \n",
"190 Lower middle income \n",
"191 Upper middle income \n",
"192 Low income \n",
"193 Lower middle income \n",
"194 Low income \n",
"\n",
"[195 rows x 5 columns]"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 1. Full data frame\n",
"stats"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"195"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 2. Number of rows\n",
"len(stats) # 195 rows imported"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Index(['Country Name', 'Country Code', 'Birth rate', 'Internet users',\n",
" 'Income Group'],\n",
" dtype='object')"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 3. See columns\n",
"stats.columns"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"5"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 4. Number of columns\n",
"len(stats.columns)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Country Name</th>\n",
" <th>Country Code</th>\n",
" <th>Birth rate</th>\n",
" <th>Internet users</th>\n",
" <th>Income Group</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Aruba</td>\n",
" <td>ABW</td>\n",
" <td>10.244</td>\n",
" <td>78.9</td>\n",
" <td>High income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Afghanistan</td>\n",
" <td>AFG</td>\n",
" <td>35.253</td>\n",
" <td>5.9</td>\n",
" <td>Low income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Angola</td>\n",
" <td>AGO</td>\n",
" <td>45.985</td>\n",
" <td>19.1</td>\n",
" <td>Upper middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Albania</td>\n",
" <td>ALB</td>\n",
" <td>12.877</td>\n",
" <td>57.2</td>\n",
" <td>Upper middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>United Arab Emirates</td>\n",
" <td>ARE</td>\n",
" <td>11.044</td>\n",
" <td>88.0</td>\n",
" <td>High income</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Country Name Country Code Birth rate Internet users \\\n",
"0 Aruba ABW 10.244 78.9 \n",
"1 Afghanistan AFG 35.253 5.9 \n",
"2 Angola AGO 45.985 19.1 \n",
"3 Albania ALB 12.877 57.2 \n",
"4 United Arab Emirates ARE 11.044 88.0 \n",
"\n",
" Income Group \n",
"0 High income \n",
"1 Low income \n",
"2 Upper middle income \n",
"3 Upper middle income \n",
"4 High income "
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 5. Top Rows\n",
"stats.head() # remember the brackets"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Country Name</th>\n",
" <th>Country Code</th>\n",
" <th>Birth rate</th>\n",
" <th>Internet users</th>\n",
" <th>Income Group</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>190</th>\n",
" <td>Yemen, Rep.</td>\n",
" <td>YEM</td>\n",
" <td>32.947</td>\n",
" <td>20.0</td>\n",
" <td>Lower middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>191</th>\n",
" <td>South Africa</td>\n",
" <td>ZAF</td>\n",
" <td>20.850</td>\n",
" <td>46.5</td>\n",
" <td>Upper middle income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>192</th>\n",
" <td>Congo, Dem. Rep.</td>\n",
" <td>COD</td>\n",
" <td>42.394</td>\n",
" <td>2.2</td>\n",
" <td>Low income</td>\n",
" </tr>\n",
" <tr>\n",
" <th>193</th>\n",
" <td>Zambia</td>\n",
" <td>ZMB</td>\n",
" <td>40.471</td>\n",
" <td>15.4</td>\n",
" <td>Lower middle income</td>\n",
" </tr>\n",
" <tr>\n",