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registries_analysis
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counting duplicates within

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Andrea Mannocci 2021-10-08 11:25:50 +02:00
parent cc2c004b9e
commit 98075dbae9
1 changed files with 93 additions and 18 deletions
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111
notebooks/03-overlap.ipynb
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@ -2791,7 +2791,7 @@
},
{
"cell_type": "code",
"execution_count": 14,
"execution_count": 43,
"metadata": {},
"outputs": [
{
@ -2849,19 +2849,20 @@
"sum 58 58 58 58 58"
]
},
"execution_count": 14,
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"opendoar_dup = dup[dup.source == 'OpenDOAR'].groupby('dedup_id').count()\n",
"opendoar_dup[opendoar_dup.duplicate_id > 1].aggregate(['count', 'sum'])"
"opendoar_dup = opendoar_dup[opendoar_dup.duplicate_id > 1]\n",
"opendoar_dup.aggregate(['count', 'sum'])"
]
},
{
"cell_type": "code",
"execution_count": 15,
"execution_count": 44,
"metadata": {},
"outputs": [
{
@ -2919,19 +2920,20 @@
"sum 6 6 6 6 6"
]
},
"execution_count": 15,
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"re3data_dup = dup[dup.source == 're3data'].groupby('dedup_id').count()\n",
"re3data_dup[re3data_dup.duplicate_id > 1].aggregate(['count', 'sum'])"
"re3data_dup = re3data_dup[re3data_dup.duplicate_id > 1]\n",
"re3data_dup.aggregate(['count', 'sum'])"
]
},
{
"cell_type": "code",
"execution_count": 16,
"execution_count": 45,
"metadata": {},
"outputs": [
{
@ -2989,40 +2991,113 @@
"sum 518 518 518 518 518"
]
},
"execution_count": 16,
"execution_count": 45,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"roar_dup = dup[dup.source == 'roar'].groupby('dedup_id').count()\n",
"roar_dup[roar_dup.duplicate_id > 1].aggregate(['count', 'sum'])"
"roar_dup = roar_dup[roar_dup.duplicate_id > 1]\n",
"roar_dup.aggregate(['count', 'sum'])"
]
},
{
"cell_type": "code",
"execution_count": 17,
"execution_count": 46,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>duplicate_id</th>\n",
" <th>original_id</th>\n",
" <th>name</th>\n",
" <th>source</th>\n",
" <th>unique_id</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>sum</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
"duplicate_id 0\n",
"original_id 0\n",
"name 0\n",
"source 0\n",
"unique_id 0\n",
"dtype: int64"
" duplicate_id original_id name source unique_id\n",
"count 0 0 0 0 0\n",
"sum 0 0 0 0 0"
]
},
"execution_count": 17,
"execution_count": 46,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fairsharing_dup = dup[dup.source == 'FAIRsharing'].groupby('dedup_id').count()\n",
"fairsharing_dup[fairsharing_dup.duplicate_id > 1].count()"
"fairsharing_dup = fairsharing_dup[fairsharing_dup.duplicate_id > 1]\n",
"fairsharing_dup.aggregate(['count', 'sum'])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"There is one record which is counted twice. All ok: 2 records in roar and 2 in opendoar ['OpenDOAR_5226', 'roar_14929', 'OpenDOAR_3820', 'roar_16263']"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array(['dedup::5243958a762063341dc82d2bbf0f5f33'], dtype=object)"
]
},
"execution_count": 47,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.intersect1d(roar_dup.index, opendoar_dup.index)"
]
},
{