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@ -29,4 +29,23 @@ In this section, you would be plotting a line graph to analyse the trends of the
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Open the R console and import the dataset.
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> Note: The dataset is stored in the root of this repo in the `/data` folder.
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Let's import the dataset and observe the head (top 5 rows) of the data.
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```r
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df_covid <- read.csv("../../data/covid.csv")
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head(df_covid)
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```
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The head of the data has a mix of numbers and text:
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|id|updated|confirmed|confirmed_change|deaths|deaths_change|recovered|recovered_change|load_time|
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| ---: | :--------------------------- | :--------------------- | :-------------------- | :----------- | :------- | :---------- | :----------------- | --------: |
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|338995|21-01-2020|262|NA|0|NA|NA|NA|09:54.1|
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|338996|22-01-2020|313|51|0|0|NA|NA|09:54.1|
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|338997|23-01-2020|578|265|0|0|NA|NA|09:54.1|
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|338998|24-01-2020|841|263|0|0|NA|NA|09:54.1|
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|338999|25-01-2020|1320|479|0|0|NA|NA|09:54.1|
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Let's start visualizing this data by plotting a line graph of the confirmed, deceased and the recovered cases.
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