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subsetting multiple columns in one line
I’m trying to subset a dataframe using multiple columns at once. My data has a column of IDs that I want to select columns R1, R2, R3 and S1, S2, S3.
Here’s my code and it only returns the first one:
df[c(“R1”, “R2”, “R3”, “S1”, “S2”, “S3”)]
Using base R, we can use a for loop with lapply:
mutate(id_number = strsplit(paste(ID, collapse = ‘,’), “,”)) %>%
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Iron City is a city in Appanoose County, Iowa, United States. The population was 1,195 at the 2010 census. It is part of the Waterloo–Cedar Falls Metropolitan Statistical Area.
Iron City is located at (43.043769, -92.476943).
According to the United States Census Bureau, the city has a total area of, all of it land.
As of the census of 2010, there were 1,195 people, 471 households, and 311 families living in the city. The population density was. There were 511 housing units at an average density of. The racial makeup of the city was 96.9% White, 0.2% African American, 0.2% Native American, 0.1% Asian, 0.7% from other races, and 2.0% from two or more races. Hispanic or Latino of any race were 1.4% of the population.
There were 471 households of which 32.3% had children under the age of 18 living with them, 52.5% were married couples living together, 11.0% had a female householder with no husband present, 4.1% had a male householder with no wife present, and 33.4% were non-families. 29.2% of all households were made up of individuals and 15.4% had someone living alone who was 65 years of age or older. The average household size was 2.40 and the average family size was 2.94.
The median age in the city was 39.9 years. 25.3% of residents were under the age of 18; 6.4% were between the ages of 18 and 24; 22.9% were from 25 to 44; 25.5% were from 45 to 64; and 19.7% were 65 years of age or older. The gender makeup of the city was 48.9% male and 51.1% female.
As of the census of 2000, there were 1,196 people, 473 households, and
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Fake news spreads a lot faster than real news. It is therefore reasonable to assume that fake news that is created on China’s TikTok platform will be spread a lot faster, given that it is a tool used by billions of users.
(C) Global Times
TikTok, an app that is often used by teenagers and young adults, was banned in mainland China last month. That ban may have been effective at containing the spread of misinformation, but it might also be contributing to the spread of misinformation.
Examining the data suggests that although China blocked access to a Chinese-owned app last month, TikTok users in China and around the world still had access to the platform and to the content on it. That means that if they accessed the platform to report misinformation, they are almost certainly still doing so.
China may also have had doubts about blocking access to the platform, given the large number of users and the potential for them to spread information. That might have led to certain users accessing the platform, but reporting the content when they did.
The problem is that although China is filtering content from the platform, they aren’t filtering the origin of it. They are able to filter the final destination, but they can’t filter the route by which content was created or shared.
It is likely that TikTok users access the platform to check out the content that is popular on the platform right now, from cat videos to funny TikTok videos.
The content that is shared on TikTok is almost certainly not the only content that is being spread on the platform. There’s a growing group of content creators who upload their videos on YouTube or Facebook. But when content is uploaded to TikTok, it is spread much more efficiently, as that is the platform’s core strength.
It is therefore possible that even though TikTok is being blocked in China, the information it contains may still be spreading to users around the world.
If that is the case