Clarify setup chunk comments and fix data filtering order in Rmd.
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11
report.Rmd
11
report.Rmd
@ -65,7 +65,7 @@ participant_organizations <- read_csv(participants_path)
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species_planted <- read_csv(species_path)
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vendors <- read_csv(vendors_path)
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# Convert character dates to POSIXct
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# Convert relevant date columns to datetime format and recode planting agency responses to standardized labels
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survey_data <- survey_data %>%
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mutate(CreationDate = mdy_hms(CreationDate)) %>%
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mutate(`Start Date of Planting (Required)` = mdy_hms(`Start Date of Planting (Required)`)) %>%
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@ -77,6 +77,7 @@ survey_data <- survey_data %>%
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"municipality" = "Municipal Government",
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"professional" = "Paid Professional"))
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# Derive and apply submission date from 'Survey ID' to replace 'CreationDate' when available
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survey_data <- survey_data %>%
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mutate(
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Submitted_Date_Str = str_extract(`Survey ID`, "Submitted: \\d{2}-\\d{2}-\\d{2}") %>%
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@ -98,14 +99,14 @@ survey_data <- survey_data %>%
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) %>%
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select(-Submitted_Date_Str, -Submitted_Date)
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# Count and filter records based on exclusion flag
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# Count and exclude flagged records, then summarize total and used counts, and determine submission date range
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excluded_count <- survey_data %>% filter(`Exclude Result` == 1) %>% nrow()
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survey_data <- survey_data %>%
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filter(`Exclude Result` == 0)
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start_date_submission <- format(min(survey_data$CreationDate, na.rm = TRUE), "%B %d, %Y")
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end_date_submission <- format(max(survey_data$CreationDate, na.rm = TRUE), "%B %d, %Y")
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excluded_count <- survey_data %>% filter(`Exclude Result` == 1) %>% nrow()
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used_count <- survey_data %>% filter(`Exclude Result` == 0) %>% nrow()
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total_records <- excluded_count + used_count
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start_date_submission <- format(min(survey_data$CreationDate, na.rm = TRUE), "%B %d, %Y")
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end_date_submission <- format(max(survey_data$CreationDate, na.rm = TRUE), "%B %d, %Y")
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```
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---
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