diff --git a/data/australia-cases.csv b/data/australia-cases.csv
index ecfb98d01..af3148333 100644
--- a/data/australia-cases.csv
+++ b/data/australia-cases.csv
@@ -103,4 +103,4 @@ act,australia,date,nsw,nt,qld,sa,tas,victoria,wa
107.0,7036.0,2020-05-16,3074.0,29.0,1055.0,439.0,228.0,1551.0,553.0
107.0,7045.0,2020-05-17,3075.0,29.0,1055.0,439.0,228.0,1558.0,554.0
107.0,7060.0,2020-05-18,3076.0,29.0,1057.0,439.0,228.0,1567.0,557.0
-107,7060,2020-05-19,3076,29,1057,439,228,1567,557
+107,7068,2020-05-19,3078,29,1057,439,228,1573,557
diff --git a/data/bnonews-international.csv b/data/bnonews-international.csv
index 467e0b659..4e5c50e76 100644
--- a/data/bnonews-international.csv
+++ b/data/bnonews-international.csv
@@ -2049,3 +2049,4 @@ datetime,Afghanistan,Albania,Algeria,Andorra,Angola,Anguilla,Antigua and Barbuda
2020-05-19 07:08,1026,584,2718,717,19,3,23,2941,1248,97,6547,15314,1436,64,1907,2948,75,6264,47334,18,35,83,5,564,1309,15,71886,5,138,915,565,5,122,1136,49817,56,61,12,33,1081,14365,3977,143,662,1881,1087,15,761,6900,327,7700,0,712,44,732,4964,24258,3333,218,79,35,1535,19,105,13,17,3868,168935,55,109,0,402,159930,834,132,2245,11,14,235,239,518,50,57,44,477,1026,1984,1773,31324,6760,92584,1574,19877,300,15589,201505,801,163,13895,245,413,1711,262,510,1995,506,0,19,739,677,76,49,80,1326,3558,45,117,0,17,5425,28,216,431,7,325,15529,2548,94,31,311,11,3046,34,98,16,30,38416,18,1440,10,639,665,1225,108,7112,0,1410,14788,313,4467,8,208,31190,6459,12218,24322,6015,0,11616,209688,147,15,12,462,20077,377,6630,11,26,14951,57,1089,1335,135,3300,10752,4,224390,304,6,14,32,10,19621,29010,38,4,0,422,147,2792,10,18,83,116,866,114653,11,0,56,5710,7265,161145,1324488,528,1627,9,227,288,0,1,52,24
2020-05-19 08:08,1026,584,2718,717,19,3,23,2941,1248,97,6547,15314,1436,64,1907,2948,75,6264,47334,18,35,83,5,564,1309,15,71886,5,138,915,565,5,122,1136,49817,56,61,12,33,1081,14365,3977,143,662,1881,1087,15,761,6900,327,7700,0,712,44,732,4964,24258,3333,218,79,35,1535,19,105,13,17,3868,168935,55,109,0,402,159930,834,132,2245,11,14,235,239,518,50,57,44,477,1026,1984,1773,31324,6760,92584,1574,19877,300,15589,201505,801,163,13895,245,413,1711,262,510,1995,506,0,19,739,677,76,49,80,1326,3558,45,117,0,17,5425,28,216,431,7,325,15529,2548,94,31,311,11,3046,34,98,16,30,38416,18,1440,10,639,665,1225,108,7112,0,1410,14788,313,4467,8,208,31190,6459,12218,24322,6015,0,11616,209688,147,15,12,462,20077,377,6630,11,26,14951,57,1089,1335,135,3300,10752,4,224390,304,6,14,32,10,19621,29010,38,4,0,422,147,2792,10,18,83,116,866,114653,11,0,56,5710,7265,161145,1324488,528,1627,9,227,288,0,1,52,24
2020-05-19 09:08,1026,584,2718,717,19,3,23,2941,1248,97,6547,15314,1436,64,1907,2948,75,6264,47334,18,35,83,5,564,1309,15,71886,5,138,915,565,5,122,1136,49817,56,61,12,33,1081,14365,3977,143,662,1881,1087,15,761,6900,327,7700,0,712,44,732,4964,24258,3333,218,79,35,1535,19,105,13,17,3868,168935,55,109,0,402,159930,834,132,2245,11,14,235,239,518,50,57,44,477,1026,1984,1773,31324,6760,92584,1574,19877,300,15589,201505,801,163,13895,245,413,1711,262,510,1995,506,0,19,739,677,76,49,80,1326,3558,45,117,0,17,5425,28,216,431,7,325,15529,2548,94,31,311,11,3046,34,98,16,30,38416,18,1440,10,639,665,1225,108,7112,0,1410,14788,313,4467,8,208,31190,6459,12218,24322,6015,0,11616,209688,147,15,12,462,20077,377,6630,11,26,14951,57,1089,1335,135,3300,10752,4,224390,304,6,14,32,10,19621,29010,38,4,0,422,147,2792,10,18,83,116,866,114653,11,0,56,5710,7265,161145,1324488,528,1627,9,227,288,0,1,52,24
+2020-05-19 10:10,1026,584,2718,717,19,3,23,2941,1248,97,6547,15314,1436,64,1907,2948,75,6264,47334,18,35,83,5,564,1309,15,71886,5,138,915,565,5,122,1136,49817,56,61,12,33,1081,14365,3977,143,662,1881,1087,15,761,6900,327,7700,0,712,44,732,4964,24258,3333,218,79,35,1535,19,105,13,17,3868,168935,55,109,0,402,159930,834,132,2245,11,14,235,239,518,50,57,44,477,1026,1984,1773,31324,6760,92584,1574,19877,300,15589,201505,801,163,13895,245,413,1711,262,510,1995,506,0,19,739,677,76,49,80,1326,3558,45,117,0,17,5425,28,216,431,7,325,15529,2548,94,31,311,11,3046,34,98,16,30,38416,18,1440,10,639,665,1225,108,7112,0,1410,14788,313,4467,8,208,31190,6459,12218,24322,6015,0,11616,209688,147,15,12,462,20077,377,6630,11,26,14951,57,1089,1335,135,3300,10752,4,224390,304,6,14,32,10,19621,29010,38,4,0,422,147,2792,10,18,83,116,866,114653,11,0,56,5710,7265,161145,1324488,528,1627,9,227,288,0,1,52,24
diff --git a/data/china-summary-cases.csv b/data/china-summary-cases.csv
index 1b3534b03..c52d7bc5b 100644
--- a/data/china-summary-cases.csv
+++ b/data/china-summary-cases.csv
@@ -1534,3 +1534,4 @@ datetime,confirmed,cured,dead
2020-05-19 15:05,84503,79708,4645
2020-05-19 15:45,84503,79708,4645
2020-05-19 17:01,84503,79709,4645
+2020-05-19 17:55,84503,79709,4645
diff --git a/data/last_update.json b/data/last_update.json
index 3353311ff..2ae56a9a8 100644
--- a/data/last_update.json
+++ b/data/last_update.json
@@ -1 +1 @@
-{"schemaVersion": 1, "label": "Last update", "message": "2020-05-19 09:08"}
\ No newline at end of file
+{"schemaVersion": 1, "label": "Last update", "message": "2020-05-19 10:10"}
\ No newline at end of file
diff --git a/images/australia-cases.png b/images/australia-cases.png
index 6194d47ce..7d828a327 100644
Binary files a/images/australia-cases.png and b/images/australia-cases.png differ
diff --git a/images/bnonews-international.png b/images/bnonews-international.png
index acb64696d..3f44d46d0 100644
Binary files a/images/bnonews-international.png and b/images/bnonews-international.png differ
diff --git a/images/china-summary-cases.png b/images/china-summary-cases.png
index c41b53719..6a2146833 100644
Binary files a/images/china-summary-cases.png and b/images/china-summary-cases.png differ
diff --git a/notebooks-analysers/summary.ipynb b/notebooks-analysers/summary.ipynb
index 62b464122..82c691805 100644
--- a/notebooks-analysers/summary.ipynb
+++ b/notebooks-analysers/summary.ipynb
@@ -255,7 +255,7 @@
"
... | \n",
" \n",
" \n",
- " 2020-05-19 05:08 | \n",
+ " 2020-05-19 06:08 | \n",
" 1026 | \n",
" 584 | \n",
" 2718 | \n",
@@ -279,7 +279,7 @@
" 24 | \n",
"
\n",
" \n",
- " 2020-05-19 06:08 | \n",
+ " 2020-05-19 07:08 | \n",
" 1026 | \n",
" 584 | \n",
" 2718 | \n",
@@ -303,7 +303,7 @@
" 24 | \n",
"
\n",
" \n",
- " 2020-05-19 07:08 | \n",
+ " 2020-05-19 08:08 | \n",
" 1026 | \n",
" 584 | \n",
" 2718 | \n",
@@ -327,7 +327,7 @@
" 24 | \n",
"
\n",
" \n",
- " 2020-05-19 08:08 | \n",
+ " 2020-05-19 09:08 | \n",
" 1026 | \n",
" 584 | \n",
" 2718 | \n",
@@ -351,7 +351,7 @@
" 24 | \n",
"
\n",
" \n",
- " 2020-05-19 09:08 | \n",
+ " 2020-05-19 10:10 | \n",
" 1026 | \n",
" 584 | \n",
" 2718 | \n",
@@ -376,7 +376,7 @@
"
\n",
" \n",
"\n",
- "2050 rows × 213 columns
\n",
+ "2051 rows × 213 columns
\n",
""
],
"text/plain": [
@@ -388,11 +388,11 @@
"2020-02-06 09:46 0 0 0 0 0 0 \n",
"2020-02-06 17:56 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
- "2020-05-19 05:08 1026 584 2718 717 19 3 \n",
"2020-05-19 06:08 1026 584 2718 717 19 3 \n",
"2020-05-19 07:08 1026 584 2718 717 19 3 \n",
"2020-05-19 08:08 1026 584 2718 717 19 3 \n",
"2020-05-19 09:08 1026 584 2718 717 19 3 \n",
+ "2020-05-19 10:10 1026 584 2718 717 19 3 \n",
"\n",
" Antigua and Barbuda Argentina Armenia Aruba ... \\\n",
"datetime ... \n",
@@ -402,11 +402,11 @@
"2020-02-06 09:46 0 0 0 0 ... \n",
"2020-02-06 17:56 0 0 0 0 ... \n",
"... ... ... ... ... ... \n",
- "2020-05-19 05:08 23 2941 1248 97 ... \n",
"2020-05-19 06:08 23 2941 1248 97 ... \n",
"2020-05-19 07:08 23 2941 1248 97 ... \n",
"2020-05-19 08:08 23 2941 1248 97 ... \n",
"2020-05-19 09:08 23 2941 1248 97 ... \n",
+ "2020-05-19 10:10 23 2941 1248 97 ... \n",
"\n",
" United States Uruguay Uzbekistan Vatican City Venezuela \\\n",
"datetime \n",
@@ -416,11 +416,11 @@
"2020-02-06 09:46 12 0 0 0 0 \n",
"2020-02-06 17:56 12 0 0 0 0 \n",
"... ... ... ... ... ... \n",
- "2020-05-19 05:08 1324488 528 1627 9 227 \n",
"2020-05-19 06:08 1324488 528 1627 9 227 \n",
"2020-05-19 07:08 1324488 528 1627 9 227 \n",
"2020-05-19 08:08 1324488 528 1627 9 227 \n",
"2020-05-19 09:08 1324488 528 1627 9 227 \n",
+ "2020-05-19 10:10 1324488 528 1627 9 227 \n",
"\n",
" Vietnam WORLD Yemen Zambia Zimbabwe \n",
"datetime \n",
@@ -430,13 +430,13 @@
"2020-02-06 09:46 12 0 0 0 0 \n",
"2020-02-06 17:56 12 0 0 0 0 \n",
"... ... ... ... ... ... \n",
- "2020-05-19 05:08 288 0 1 52 24 \n",
"2020-05-19 06:08 288 0 1 52 24 \n",
"2020-05-19 07:08 288 0 1 52 24 \n",
"2020-05-19 08:08 288 0 1 52 24 \n",
"2020-05-19 09:08 288 0 1 52 24 \n",
+ "2020-05-19 10:10 288 0 1 52 24 \n",
"\n",
- "[2050 rows x 213 columns]"
+ "[2051 rows x 213 columns]"
]
},
"execution_count": 4,
@@ -469,7 +469,7 @@
"Yemen 1\n",
"Zambia 52\n",
"Zimbabwe 24\n",
- "Name: 2020-05-19 09:08, Length: 213, dtype: int64"
+ "Name: 2020-05-19 10:10, Length: 213, dtype: int64"
]
},
"metadata": {},
@@ -490,7 +490,7 @@
{
"data": {
"text/plain": [
- "'2020-05-19 09:08'"
+ "'2020-05-19 10:10'"
]
},
"metadata": {},
@@ -520,7 +520,7 @@
"Turkey 114653\n",
"Iran 92584\n",
"Brazil 71886\n",
- "Name: 2020-05-19 09:08, dtype: int64"
+ "Name: 2020-05-19 10:10, dtype: int64"
]
},
"metadata": {},
diff --git a/notebooks-scrappers/Australia-cases.ipynb b/notebooks-scrappers/Australia-cases.ipynb
index a7fb06cd7..ae19579cf 100644
--- a/notebooks-scrappers/Australia-cases.ipynb
+++ b/notebooks-scrappers/Australia-cases.ipynb
@@ -46,7 +46,7 @@
{
"data": {
"text/plain": [
- "datetime.datetime(2020, 5, 19, 9, 7, 54, 667500)"
+ "datetime.datetime(2020, 5, 19, 10, 9, 16, 912662)"
]
},
"execution_count": 3,
@@ -259,9 +259,6 @@
"No tables found\n",
"No tables found\n",
"No tables found\n",
- "No tables found\n",
- "No tables found\n",
- "No tables found\n",
"No tables found\n"
]
},
@@ -269,14 +266,14 @@
"data": {
"text/plain": [
"[ Jurisdiction Unnamed: 1 Total confirmed cases New cases in last 24 hours \\\n",
- " 0 Australia Australia 7060 11 \n",
+ " 0 Australia Australia 7068 9 \n",
" 1 ACT ACT 107 0 \n",
- " 2 NSW NSW 3076 1 \n",
+ " 2 NSW NSW 3078 2 \n",
" 3 NT NT 29 0 \n",
- " 4 QLD QLD 1057 2 \n",
+ " 4 QLD QLD 1057 0 \n",
" 5 SA SA 439 0 \n",
" 6 TAS TAS 228 0 \n",
- " 7 VIC VIC 1567 8 \n",
+ " 7 VIC VIC 1573 7 \n",
" 8 WA WA 557 0 \n",
" \n",
" Deaths Unnamed: 5 \n",
@@ -296,20 +293,20 @@
" 3 NaN Under investigation \n",
" \n",
" Unnamed: 2 Cases % Unnamed: 5 \n",
- " 0 Overseas acquired 4396 62.3% NaN \n",
- " 1 Locally acquired—contact of a confirmed case 1937 27.4% NaN \n",
- " 2 Locally acquired—contact not identified 712 10.1% NaN \n",
- " 3 Under investigation 15 0.2% NaN ,\n",
+ " 0 Overseas acquired 4401 62.3% NaN \n",
+ " 1 Locally acquired—contact of a confirmed case 1941 27.5% NaN \n",
+ " 2 Locally acquired—contact not identified 715 10.1% NaN \n",
+ " 3 Under investigation 11 0.2% NaN ,\n",
" Jurisdiction Unnamed: 1 Total tests conducted Positive tests (%) \\\n",
- " 0 Australia Australia 1062034 0.7% \n",
- " 1 ACT ACT 14290 0.7% \n",
- " 2 NSW NSW 371881 0.8% \n",
- " 3 NT NT 6417 0.5% \n",
- " 4 QLD QLD 155755 0.7% \n",
- " 5 SA SA 79616 0.6% \n",
- " 6 TAS TAS 22246 1.0% \n",
- " 7 VIC VIC 345290 0.5% \n",
- " 8 WA WA 66539 0.8% \n",
+ " 0 Australia Australia 1085870 0.7% \n",
+ " 1 ACT ACT 14448 0.7% \n",
+ " 2 NSW NSW 377185 0.8% \n",
+ " 3 NT NT 6517 0.4% \n",
+ " 4 QLD QLD 158641 0.7% \n",
+ " 5 SA SA 80713 0.5% \n",
+ " 6 TAS TAS 22597 1.0% \n",
+ " 7 VIC VIC 358120 0.4% \n",
+ " 8 WA WA 67649 0.8% \n",
" \n",
" Unnamed: 4 \n",
" 0 NaN \n",
@@ -380,14 +377,14 @@
" \n",
" \n",
" Total confirmed cases | \n",
- " 7060 | \n",
+ " 7068 | \n",
" 107 | \n",
- " 3076 | \n",
+ " 3078 | \n",
" 29 | \n",
" 1057 | \n",
" 439 | \n",
" 228 | \n",
- " 1567 | \n",
+ " 1573 | \n",
" 557 | \n",
"
\n",
" \n",
@@ -396,7 +393,7 @@
],
"text/plain": [
"Unnamed: 1 Australia ACT NSW NT QLD SA TAS VIC WA\n",
- "Total confirmed cases 7060 107 3076 29 1057 439 228 1567 557"
+ "Total confirmed cases 7068 107 3078 29 1057 439 228 1573 557"
]
},
"execution_count": 20,
@@ -454,14 +451,14 @@
" \n",
" Total confirmed cases | \n",
" 2020-05-19 | \n",
- " 7060 | \n",
+ " 7068 | \n",
" 107 | \n",
- " 3076 | \n",
+ " 3078 | \n",
" 29 | \n",
" 1057 | \n",
" 439 | \n",
" 228 | \n",
- " 1567 | \n",
+ " 1573 | \n",
" 557 | \n",
"
\n",
" \n",
@@ -470,10 +467,10 @@
],
"text/plain": [
"Unnamed: 1 date australia act nsw nt qld sa tas \\\n",
- "Total confirmed cases 2020-05-19 7060 107 3076 29 1057 439 228 \n",
+ "Total confirmed cases 2020-05-19 7068 107 3078 29 1057 439 228 \n",
"\n",
"Unnamed: 1 victoria wa \n",
- "Total confirmed cases 1567 557 "
+ "Total confirmed cases 1573 557 "
]
},
"execution_count": 21,
@@ -550,14 +547,14 @@
" \n",
" Total confirmed cases | \n",
" 2020-05-19 | \n",
- " 7060 | \n",
+ " 7068 | \n",
" 107 | \n",
- " 3076 | \n",
+ " 3078 | \n",
" 29 | \n",
" 1057 | \n",
" 439 | \n",
" 228 | \n",
- " 1567 | \n",
+ " 1573 | \n",
" 557 | \n",
"
\n",
" \n",
@@ -566,10 +563,10 @@
],
"text/plain": [
"Unnamed: 1 date australia act nsw nt qld sa tas \\\n",
- "Total confirmed cases 2020-05-19 7060 107 3076 29 1057 439 228 \n",
+ "Total confirmed cases 2020-05-19 7068 107 3078 29 1057 439 228 \n",
"\n",
"Unnamed: 1 victoria wa \n",
- "Total confirmed cases 1567 557 "
+ "Total confirmed cases 1573 557 "
]
},
"execution_count": 23,
@@ -791,14 +788,14 @@
" \n",
" Total confirmed cases | \n",
" 107 | \n",
- " 7060 | \n",
+ " 7068 | \n",
" 2020-05-19 | \n",
- " 3076 | \n",
+ " 3078 | \n",
" 29 | \n",
" 1057 | \n",
" 439 | \n",
" 228 | \n",
- " 1567 | \n",
+ " 1573 | \n",
" 557 | \n",
"
\n",
" \n",
@@ -818,7 +815,7 @@
"101 107 7036 2020-05-16 3074 29 1055 439 228 \n",
"102 107 7045 2020-05-17 3075 29 1055 439 228 \n",
"103 107 7060 2020-05-18 3076 29 1057 439 228 \n",
- "Total confirmed cases 107 7060 2020-05-19 3076 29 1057 439 228 \n",
+ "Total confirmed cases 107 7068 2020-05-19 3078 29 1057 439 228 \n",
"\n",
" victoria wa \n",
"0 4 NaN \n",
@@ -831,7 +828,7 @@
"101 1551 553 \n",
"102 1558 554 \n",
"103 1567 557 \n",
- "Total confirmed cases 1567 557 \n",
+ "Total confirmed cases 1573 557 \n",
"\n",
"[105 rows x 10 columns]"
]
@@ -861,7 +858,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
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