removed week chart
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@ -108,21 +108,6 @@ update_data <- function(){
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y = NULL,
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y = NULL,
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fill = NULL)
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fill = NULL)
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plot_1week <- ggplot(data = values) +
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geom_tile(aes(x = time + seconds(round(as.numeric(difftime(end_time, time, unit = "secs")))/2),
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y = entity_id,
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width = seconds(round(as.numeric(difftime(end_time, time, unit = "secs")))),
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height = 0.5,
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fill = status)) +
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scale_y_discrete(breaks = entities$entity_id, labels = entities$name) +
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scale_x_datetime(date_breaks = "1 day", date_labels = '%A', date_minor_breaks = "4 hours") +
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scale_fill_manual(values = colors$color) +
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theme(axis.text.x = element_text(angle = 30, vjust = 0.5)) +
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labs(title = "The past week",
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x = NULL,
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y = NULL,
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fill = NULL)
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plot_1week_days <- ggplot(data = values %>%
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plot_1week_days <- ggplot(data = values %>%
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filter(as.Date(time, tz = "America/Chicago") == as.Date(end_time, tz = "America/Chicago")) %>%
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filter(as.Date(time, tz = "America/Chicago") == as.Date(end_time, tz = "America/Chicago")) %>%
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mutate(date = as.Date(time, tz = "America/Chicago")) %>%
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mutate(date = as.Date(time, tz = "America/Chicago")) %>%
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@ -43,10 +43,6 @@ This site tracks the washing machine and dryer of our building. My hope is that
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plot(plot_1day)
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plot(plot_1day)
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```
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```
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```{r plot_1week, echo=FALSE}
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plot(plot_1week)
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```
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```{r plot_1week_days, echo=FALSE}
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```{r plot_1week_days, echo=FALSE}
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plot(plot_1week_days)
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plot(plot_1week_days)
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```
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```
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