README - Conceptviz pipeline (1) using brysbaert concretneess norms, identify cues (total = 345) that are in the top and bottom 6-tile of concreteness (~100) [1_googledraw.cues.Rmd] (2) download simplified datasets for these norms from: https://console.cloud.google.com/storage/browser/quickdraw_dataset/full/simplified). These have been scaled so they are all 255 x 255. The simplified versions also do not have time information. (3) Munge jsons to be in long form and save as feather [munge_jsons.R] (4) Get summary statistics of drawings [summarize_drawings_basic.R]. Save heatmaps/*_lang_heatmap.pdf and csvs/*_summary.csv for each item. Also writes data to feather file for faster loading in the future. (5) [2_drawing_summary_analysis.Rmd] Summarizes For movers distance: (1) [summarize_drawings_dist_not_downsampled.R] Gets movers distances (2) [3_mover_distance.Rmd] Summarizes (1) [summarize_drawings_dist_ds.R] Gets movers distances with down sample n = 1500 (2) [4_mover_distance_downsampled.Rmd] Summarizes