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library(readxl) | |
library(tidyverse) | |
df1 <- read_excel("/ACTUAL/tracker_Register.xlsx") | |
df2 <- select(df1,'Row ID','Panel Qty',Accepted, Tracker) | |
df3 <- gather(df2,category,date,-"Row ID",-"Panel Qty") | |
df4 <- filter(df3,!is.na(date)) |
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<!DOCTYPE html> | |
<html> | |
<head> | |
<style> | |
.vega-actions a { | |
margin-right: 12px; | |
color: #757575; | |
font-weight: normal; | |
font-size: 13px; | |
} |
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with tablename as(SELECT country_region,date,sum(deaths) as deaths,sum(confirmed) as confirmed FROM `bigquery-public-data.covid19_jhu_csse.summary` | |
group by 1,2 ) | |
select t.*, deaths - coalesce(lag(deaths) over(partition by country_region order by date),0) as daily_deaths, | |
confirmed - coalesce(lag(confirmed) over(partition by country_region order by date),0) as daily_confirmed | |
from tablename t |
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with raw as (SELECT | |
ar.key as key, | |
ar.value as category, | |
concat(osm_id,osm_way_id) as Index,geometry, | |
ST_CENTROID(geometry) AS center_location, | |
st_x(ST_CENTROID(geometry)) as x, | |
st_y(ST_CENTROID(geometry)) as y | |
FROM | |
`bigquery-public-data.geo_openstreetmap.planet_features`, | |
UNNEST(all_tags) AS ar |
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WITH Geographies AS | |
(SELECT ST_GEOGFROMTEXT('POINT(1 1)') AS g ,'newgeopmetry' as t UNION ALL | |
SELECT ST_GEOGFROMTEXT('POINT(1 3)') AS g ,'newgeopmetry' as t UNION ALL | |
SELECT ST_GEOGFROMTEXT('POINT(1 2)') AS g ,'newgeopmetry' as t ) | |
SELECT | |
t, ST_CONVEXHULL(g) AS polygon FROM Geographies group by 1; |
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with tt as (SELECT gg.countries_and_territories as Countries , date, sum( daily_deaths ) as daily_deaths ,max(pop) as pop FROM `GIS.covid19new` gg | |
left join (SELECT countries_and_territories,max( pop_data_2019) as pop FROM `GIS.covid19new` group by 1) pp | |
on gg.countries_and_territories =pp.countries_and_territories | |
where gg.countries_and_territories in unnest(@selection) group by 1,2 | |
UNION ALL | |
SELECT "Rest of the World" as Countries , date,sum( daily_deaths ) as daily_deaths,sum(pop ) FROM `GIS.covid19new` gg | |
left join (SELECT countries_and_territories,max( pop_data_2019) as pop FROM `GIS.covid19new` group by 1) pp | |
on gg.countries_and_territories =pp.countries_and_territories | |
where gg.countries_and_territories not in unnest(@selection) group by 1,2) |
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{ | |
"FileFormatVersion": 1, | |
"PhysicalQueryPlanRows": [ | |
{ | |
"Records": null, | |
"Operation": "PartitionIntoGroups: IterPhyOp LogOp=Order IterCols(0, 1)('covid_19_geographic_distribution_worldwide'[countries_and_territories], ''[Sumdaily_confirmed_cases]) #Groups=1 #Rows=212", | |
"IndentedOperation": "PartitionIntoGroups: IterPhyOp LogOp=Order IterCols(0, 1)('covid_19_geographic_distribution_worldwide'[countries_and_territories], ''[Sumdaily_confirmed_cases]) #Groups=1 #Rows=212", | |
"Level": 0, | |
"RowNumber": 1 | |
}, |
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WITH | |
xx AS ( | |
SELECT | |
"australia" AS key, | |
state, | |
suburbs, | |
longitude, | |
latitude, | |
IRSAD | |
FROM |
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// DAX Query | |
DEFINE | |
VAR __DS0FilterTable = | |
TREATAS({"Coal", | |
"Renewable", | |
"Fuel"}, 'UNITARCHIVE'[Technology]) | |
VAR __DS0FilterTable2 = | |
FILTER( | |
KEEPFILTERS(VALUES('UNITARCHIVE'[SETTLEMENTDATE])), |
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{ | |
"$schema": "https://vega.github.io/schema/vega-lite/v5.json", | |
"usermeta": { | |
"deneb": { | |
"build": "1.1.0.20220119#7e76f47", | |
"metaVersion": 1, | |
"provider": "vegaLite", | |
"providerVersion": "5.2.0" | |
}, | |
"interactivity": { |
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