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notebooks/conflict/acled.ipynb

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@@ -78,7 +78,7 @@
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"\n",
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"To match the conflict analysis with the maritime trade trends as [previously seen on this web-book](https://datapartnership.org/red-sea-monitoring/notebooks/ports/README.html), we aggregated the ACLED data to show weekly trends near the ports of interest. \n",
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"\n",
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"### Visualizing conflict fatalities between January 1st 2023 and April 9th 2024"
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"### Visualizing conflict fatalities between January 1st 2023 and September 31st 2024"
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]
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},
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{
@@ -414,6 +414,23 @@
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"conflict_monthly['event_date']= conflict_monthly['event_date'].astype('str')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {
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"tags": [
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"remove-cell"
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]
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},
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"outputs": [],
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"source": [
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"events_dict = {datetime(2023, 10, 7):'First Attack on Gaza',\n",
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" datetime(2023, 11, 17):'First Attack on the Red Sea',\n",
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" \n",
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" #datetime(2022, 10,5): 'West Azerbaijan\\nEarthquake',\n",
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" }"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 44,
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")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 57,
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"metadata": {
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"tags": [
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"remove-cell"
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]
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},
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"outputs": [],
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"source": [
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"events_dict = {datetime(2023, 10, 7):'First Attack on Gaza',\n",
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" datetime(2023, 11, 17):'First Attack on the Red Sea',\n",
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" \n",
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" #datetime(2022, 10,5): 'West Azerbaijan\\nEarthquake',\n",
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" }"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 151,

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