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