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coronavirus's Issues

Add population data for non US cities/regions

Add population data for non US cities/regions

coronavirus/Corona_Prediction.Rmd

Line 287 in 206dd8e

# TODO Add population data for non US cities/regions 


##------------------------------------------
## Add population and lat/long data (CURRENTLY US ONLY)
##------------------------------------------
# TODO Add population data for non US cities/regions
kable(filter(metadata,(is.na(Country.Region) | is.na(Population) )) %>% select(c("Country.Region","Province.State","City")) %>% unique(),caption = "Regions for which either population or Country is NA")

# Drop missing data 
metadata<-filter(metadata,!(is.na(Country.Region) | is.na(Population) ))
# Convert remaining pop to numeric
metadata$Population<-as.numeric(metadata$Population)

# Add metadata to cases
Corona_Cases<-merge(Corona_Cases,metadata,all.x = T)

##------------------------------------------
## Compute total and death cases relative to population 
##------------------------------------------

Corona_Cases$Total_confirmed_cases.per100<-100*Corona_Cases$Total_confirmed_cases/Corona_Cases$Population
Corona_Cases$Total_confirmed_deaths.per100<-100*Corona_Cases$Total_confirmed_deaths/Corona_Cases$Population


##------------------------------------------
## Filter df for US state-wide stats
##------------------------------------------

Corona_Cases.US_state<-filter(Corona_Cases,Country.Region=="US_state" & Total_confirmed_cases>0 ) 
kable(table(select(Corona_Cases.US_state,c("Province.State"))),caption = "Number of longitudinal datapoints (total/death) per state")
Corona_Cases.US_state<-merge(Corona_Cases.US_state,ddply(filter(Corona_Cases.US_state,Total_confirmed_cases>100),c("Province.State"),summarise,case100_date_state=min(Date.numeric)))
Corona_Cases.US_state$Days_since_100_state<-Corona_Cases.US_state$Date.numeric-Corona_Cases.US_state$case100_date_state

ANALYSIS

Add death rate data

  1. Need to add death rate data to plots and how it tracks with total cases.
  2. Need to add prediction similar to total cases

Daily notation

I can't tell if you have updated the graph day to day because I can't tell what the last day is on the chart. If you could put the day notation at the bottom of the graph that might be helpful.

Add population data for non US cities/regions

Add population data for non US cities/regions

https://github.com/sbs87/coronavirus/blob/206dd8e52162b1a4f3f67e3f1c13e31093a01110/Corona_Prediction.html#L1465


##------------------------------------------
## Add population and lat/long data (CURRENTLY US ONLY)
##------------------------------------------
# TODO Add population data for non US cities/regions
kable(filter(metadata,(is.na(Country.Region) | is.na(Population) )) %&gt;% select(c(&quot;Country.Region&quot;,&quot;Province.State&quot;,&quot;City&quot;)) %&gt;% unique(),caption = &quot;Regions for which either population or Country is NA&quot;)</code></pre>
<table>
<caption>Regions for which either population or Country is NA</caption>
<thead>
<tr class="header">
<th align="left">Country.Region</th>
<th align="left">Province.State</th>
<th align="left">City</th>
</tr>
</thead>
<tbody>
</tbody>
</table>
<pre class="r"><code># Drop missing data 
metadata&lt;-filter(metadata,!(is.na(Country.Region) | is.na(Population) ))
# Convert remaining pop to numeric
metadata$Population&lt;-as.numeric(metadata$Population)</code></pre>
<pre><code>## Warning: NAs introduced by coercion</code></pre>
<pre class="r"><code># Add metadata to cases
Corona_Cases&lt;-merge(Corona_Cases,metadata,all.x = T)

##------------------------------------------
## Compute total and death cases relative to population 
##------------------------------------------

Corona_Cases$Total_confirmed_cases.per100&lt;-100*Corona_Cases$Total_confirmed_cases/Corona_Cases$Population
Corona_Cases$Total_confirmed_deaths.per100&lt;-100*Corona_Cases$Total_confirmed_deaths/Corona_Cases$Population


##------------------------------------------
## Filter df for US state-wide stats
##------------------------------------------

Corona_Cases.US_state&lt;-filter(Corona_Cases,Country.Region==&quot;US_state&quot; &amp; Total_confirmed_cases&gt;0 ) 
kable(table(select(Corona_Cases.US_state,c(&quot;Province.State&quot;))),caption = &quot;Number of longitudinal datapoints (total/death) per state&quot;)</code></pre>
<table>

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