updating with c3 viz for dependency depth
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@ -181,3 +181,6 @@ ls
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cd case3
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ls
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rm 062725_c3_title_cleaned.csv
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ls
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ls ../case2
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ls ../case1
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@ -18,7 +18,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"phab_path = \"/mmfs1/gscratch/comdata/users/mjilg/mw-repo-lifecycles/case3/0422_http_phab_comments.csv\"\n",
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"phab_path = \"/mmfs1/gscratch/comdata/users/mjilg/mw-repo-lifecycles/case3/050825_coref-rel-final.csv\"\n",
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"phab_df = pd.read_csv(phab_path)"
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]
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},
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@ -1004,7 +1004,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.11"
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"version": "3.13.5"
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}
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},
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"nbformat": 4,
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BIN
phab_analysis/case3/070125_c3_community_depth_fig.png
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phab_analysis/case3/070125_c3_community_depth_fig.png
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phab_analysis/m2-viz-coreference.R
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phab_analysis/m2-viz-coreference.R
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@ -0,0 +1,23 @@
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library(tidyverse)
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c1_count <-"/mmfs1/gscratch/comdata/users/mjilg/mw-repo-lifecycles/case1/0312_resolved_ve_phab_comments.csv"
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c1_input_df <- read.csv(c1_count , header = TRUE)
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c2_count <-"/mmfs1/gscratch/comdata/users/mjilg/mw-repo-lifecycles/case2/051825_coref_resolved_dep_trees.csv"
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c2_input_df <- read.csv(c2_count , header = TRUE)
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c3_count <-"/mmfs1/gscratch/comdata/users/mjilg/mw-repo-lifecycles/case3/050825_coref-rel-final.csv"
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c3_input_df <- read.csv(c3_count , header = TRUE)
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# Add a column to each dataframe to label them
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c1_input_df <- c1_input_df |> mutate(source = "c1")
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c2_input_df <- c2_input_df %>% mutate(source = "c2")
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c3_input_df <- c3_input_df %>% mutate(source = "c3")
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# Combine the dataframes into one
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combined_df <- bind_rows(c1_input_df, c2_input_df, c3_input_df)
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library(stringr)
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combined_df$user_in_text <- str_count(combined_df$text, regex("user", ignore_case = TRUE))
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combined_df$user_in_resolved_text <- str_count(combined_df$resolved_text, regex("user", ignore_case = TRUE))
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