1 | Instructions for producing the tables:
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2 | a. Copy the Javascript version of results for each mongodb query listed below into a text editor.
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3 | b. OPTIONAL: Then regex replace \/\*\s*\d+\s*\*\/ with a comma (','), remove the very first comma, and embed all the JS inside [].
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4 | c. Paste that Javascript into https://json-csv.com/ to get the CSV tables
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5 |
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6 | Note that for step 6, there are 2 mongodb queries. The results of both have to be merged into a single csv file.
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7 | -----------
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8 | 1. Table 1
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9 |
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10 | db.Websites.aggregate([
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11 |
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12 | { $unwind: "$geoLocationCountryCode" },
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13 | {
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14 | $group: {
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15 | _id: "$geoLocationCountryCode",
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16 | count: { $sum: 1 },
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17 | /*domain: { $addToSet: '$domain' },*/
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18 | numPagesInMRICount: { $sum: '$numPagesInMRI' },
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19 | numPagesContainingMRICount: { $sum: '$numPagesContainingMRI' },
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20 | totalPagesAcrossSites: { $sum: '$totalPages'}
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21 | }
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22 | },
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23 | { $sort : { count : -1} }
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24 | ]);
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25 |
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26 |
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27 | 1a.
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28 |
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29 | db.Websites.aggregate([
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30 | { $match: {urlContainsLangCodeInPath: true} },
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31 | { $unwind: "$geoLocationCountryCode" },
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32 | {
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33 | $group: {
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34 | _id: "$geoLocationCountryCode",
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35 | count: { $sum: 1 },
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36 | /*domain: { $addToSet: '$domain' },*/
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37 | numPagesInMRICount: { $sum: '$numPagesInMRI' },
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38 | numPagesContainingMRICount: { $sum: '$numPagesContainingMRI' },
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39 | totalPagesAcrossMatchingSites: { $sum: '$totalPages'}
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40 | }
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41 | },
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42 | { $sort : { count : -1} }
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43 | ]);
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44 |
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45 |
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46 | 1b.
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47 |
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48 | db.Websites.aggregate([
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49 | {$match: {urlContainsLangCodeInPath: false} },
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50 | { $unwind: "$geoLocationCountryCode" },
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51 | {
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52 | $group: {
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53 | _id: "$geoLocationCountryCode",
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54 | count: { $sum: 1 },
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55 | /*domain: { $addToSet: '$domain' },*/
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56 | numPagesInMRICount: { $sum: '$numPagesInMRI' },
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57 | numPagesContainingMRICount: { $sum: '$numPagesContainingMRI' },
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58 | totalPagesAcrossMatchingSites: { $sum: '$totalPages'}
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59 | }
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60 | },
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61 | { $sort : { count : -1} }
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62 | ]);
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63 |
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64 | -----------
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65 | 2. Table 2
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66 |
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67 | db.Websites.aggregate([
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68 | {
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69 | $match: {
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70 | numPagesInMRI: {$gt: 0}
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71 | }
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72 | },
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73 | { $unwind: "$geoLocationCountryCode" },
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74 | {
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75 | $group: {
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76 | _id: {$toLower: '$geoLocationCountryCode'},
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77 | count: { $sum: 1 },
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78 | /*domain: { $addToSet: '$domain' },*/
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79 | numPagesInMRICount: { $sum: '$numPagesInMRI' },
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80 | numPagesContainingMRICount: { $sum: '$numPagesContainingMRI' },
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81 | totalPagesAcrossSitesWithPositiveMRICount: { $sum: '$totalPages'}
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82 | }
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83 | },
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84 | { $sort : { count : -1} }
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85 | ]);
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86 |
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87 | -----------
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88 | 3. Table 3
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89 |
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90 | db.Websites.aggregate([
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91 | {
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92 | $match: {
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93 | numPagesContainingMRI: {$gt: 0}
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94 | }
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95 | },
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96 | { $unwind: "$geoLocationCountryCode" },
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97 | {
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98 | $group: {
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99 | _id: {$toLower: '$geoLocationCountryCode'},
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100 | count: { $sum: 1 },
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101 | /*domain: { $addToSet: '$domain' },*/
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102 | numPagesInMRICount: { $sum: '$numPagesInMRI' },
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103 | numPagesContainingMRICount: { $sum: '$numPagesContainingMRI' },
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104 | totalPagesAcrossSitesWithPositiveContainsMRI: { $sum: '$totalPages'}
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105 | }
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106 | },
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107 | { $sort : { count : -1} }
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108 | ]);
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109 |
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110 | -----------
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111 |
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112 | 4. Table 4
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113 | db.Websites.aggregate([
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114 | {
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115 | $match: {
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116 | $and: [
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117 | {numPagesContainingMRI: {$gt: 0}},
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118 | {$or: [{geoLocationCountryCode: /(NZ|AU)/}, {domain: /\.nz$/}, {urlContainsLangCodeInPath: false}]}
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119 | ]
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120 | }
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121 | },
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122 | { $unwind: "$geoLocationCountryCode" },
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123 | {
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124 | $group: {
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125 | _id: {$toLower: '$geoLocationCountryCode'},
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126 | count: { $sum: 1 },
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127 | /*domain: { $addToSet: '$domain' },*/
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128 | numPagesInMRICount: { $sum: '$numPagesInMRI' },
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129 | numPagesContainingMRICount: { $sum: '$numPagesContainingMRI' },
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130 | totalPagesAcrossMatchingSites: { $sum: '$totalPages'}
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131 | }
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132 | },
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133 | { $sort : { count : -1} }
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134 | ]);
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135 |
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136 | -----------
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137 | 5. Table 5
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138 |
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139 | Outside of NZ:
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140 |
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141 | db.Websites.aggregate([
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142 | {
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143 | $match: {
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144 | $and: [
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145 | {geoLocationCountryCode: {$ne: "NZ"}},
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146 | {domain: {$not: /\.nz/}},
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147 | {numPagesContainingMRI: {$gt: 0}},
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148 | {$or: [{geoLocationCountryCode: "AU"}, {urlContainsLangCodeInPath: false}]}
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149 | ]
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150 | }
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151 | },
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152 | { $unwind: "$geoLocationCountryCode" },
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153 | {
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154 | $group: {
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155 | _id: {$toLower: '$geoLocationCountryCode'},
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156 | count: { $sum: 1 },
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157 | /*domain: { $addToSet: '$domain' },*/
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158 | numPagesInMRICount: { $sum: '$numPagesInMRI' },
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159 | numPagesContainingMRICount: { $sum: '$numPagesContainingMRI' },
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160 | totalPagesAcrossMatchingSites: { $sum: '$totalPages'}
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161 | }
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162 | },
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163 | { $sort : { count : -1} }
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164 | ]);
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165 |
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166 |
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167 | NZ:
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168 | db.Websites.aggregate([
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169 | {
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170 | $match: {
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171 | $and: [
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172 | {numPagesContainingMRI: {$gt: 0}},
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173 | {$or: [{geoLocationCountryCode:"NZ"},{domain: /\.nz/}]}
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174 | ]
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175 | }
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176 | },
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177 | { $unwind: "$geoLocationCountryCode" },
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178 | {
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179 | $group: {
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180 | _id: "nz",
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181 | count: { $sum: 1 },
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182 | /*domain: { $addToSet: '$domain' },*/
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183 | numPagesInMRICount: { $sum: '$numPagesInMRI' },
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184 | numPagesContainingMRICount: { $sum: '$numPagesContainingMRI' },
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185 | totalPagesAcrossMatchingSites: { $sum: '$totalPages'}
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186 | }
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187 | },
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188 | { $sort : { count : -1} }
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189 | ]);
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190 |
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191 |
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192 | To find NZ web pages IN MRI the following may be BETTER,
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193 | as it looks for sites with positive numPagesINMRI rather than sites that only have positive containingMRI:
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194 |
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195 | db.Websites.aggregate([
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196 | {
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197 | $match: {
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198 | $and: [
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199 | {numPagesInMRI: {$gt: 0}},
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200 | {$or: [{geoLocationCountryCode:"NZ"},{domain: /\.nz/}]}
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201 | ]
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202 | }
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203 | },
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204 | { $unwind: "$geoLocationCountryCode" },
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205 | {
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206 | $group: {
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207 | _id: "nz",
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208 | count: { $sum: 1 },
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209 | domain: { $addToSet: '$domain' },
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210 | numPagesInMRICount: { $sum: '$numPagesInMRI' },
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211 | numPagesContainingMRICount: { $sum: '$numPagesContainingMRI' },
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212 | totalPagesAcrossMatchingSites: { $sum: '$totalPages'}
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213 | }
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214 | },
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215 | { $sort : { count : -1} }
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216 | ]);
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217 |
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218 |
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219 | 5b. Table 5b:
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220 | Table of count of sites with numPagesCoMRI > 0
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221 |
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222 | Combine the following two:
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223 |
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224 | - OVERSEAS
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225 |
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226 | db.Websites.aggregate([
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227 | {
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228 | $match: {
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229 | $and: [
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230 | {geoLocationCountryCode: {$ne: "NZ"}},
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231 | {domain: {$not: /\.nz/}},
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232 | {numPagesContainingMRI: {$gt: 0}}
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233 | ]
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234 | }
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235 | },
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236 | { $unwind: "$geoLocationCountryCode" },
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237 | {
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238 | $group: {
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239 | _id: {$toLower: '$geoLocationCountryCode'},
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240 | count: { $sum: 1 },
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241 | /*domain: { $addToSet: '$domain' },*/
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242 | numPagesInMRICount: { $sum: '$numPagesInMRI' },
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243 | numPagesContainingMRICount: { $sum: '$numPagesContainingMRI' },
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244 | totalPagesAcrossMatchingSites: { $sum: '$totalPages'}
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245 | }
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246 | },
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247 | { $sort : { count : -1} }
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248 | ]);
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249 |
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250 | - NZ:
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251 |
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252 | db.Websites.aggregate([
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253 | {
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254 | $match: {
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255 | $and: [
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256 | {numPagesContainingMRI: {$gt: 0}},
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257 | {$or: [{geoLocationCountryCode:"NZ"},{domain: /\.nz/}]}
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258 | ]
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259 | }
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260 | },
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261 | { $unwind: "$geoLocationCountryCode" },
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262 | {
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263 | $group: {
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264 | _id: "nz",
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265 | count: { $sum: 1 },
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266 | /*domain: { $addToSet: '$domain' },*/
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267 | numPagesInMRICount: { $sum: '$numPagesInMRI' },
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268 | numPagesContainingMRICount: { $sum: '$numPagesContainingMRI' },
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269 | totalPagesAcrossMatchingSites: { $sum: '$totalPages'}
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270 | }
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271 | },
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272 | { $sort : { count : -1} }
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273 | ]);
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274 |
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