Declan Naughton declann
👋
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| { | |
| "$schema": "https://vega.github.io/schema/vega/v5.json", | |
| "background": "white", | |
| "padding": 5, | |
| "data": [ | |
| {"name": "grid_store"}, | |
| {"name": "cashflow_store"}, | |
| {"name": "source_0", "values": [{"point_id_in":1,"t_in":-1,"zero_duration_in":false,"mort_rate_factor_in":3,"model_id":0,"input_cursor_id":1,"formula":"pv_premiums","value":94.84,"t_in_step_end":0,"A_keep_gte_0":true,"partition":"A","duration_n":0,"value_n":91.11563150937634,"t_in_mean":4.5},{"point_id_in":1,"t_in":-1,"zero_duration_in":false,"mort_rate_factor_in":3,"model_id":0,"input_cursor_id":1,"formula":"pv_premiums","value":94.84,"t_in_step_end":0,"A_keep_gte_0":true,"partition":"B","duration_n":0,"value_n":91.07068315793605,"t_in_mean":4.5},{"point_id_in":1,"t_in":-1,"zero_duration_in":false,"mort_rate_factor_in":3,"model_id":0,"input_cursor_id":1,"formula":"pv_premiums","value":94.84,"t_in_step_end":0,"A_keep_gte_0":true,"partition":"keep","duration_n":0,"value_n":91.07068315793605,"t_in_mean":4.5},{"point_id_in":1,"t_in":-1," |
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| { | |
| "$schema": "https://vega.github.io/schema/vega-lite/v5.json", | |
| "description": "Google's stock price over time.", | |
| "data": {"url": "data/stocks.csv"}, | |
| "transform": [{"filter": "datum.symbol==='GOOG'"}], | |
| "layer": [ | |
| {"mark": {"type": "area", "fill": "orange"}}, | |
| { | |
| "mark": { | |
| "type": "area", |
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| { | |
| "$schema": "https://vega.github.io/schema/vega-lite/v5.json", | |
| "description": "Google's stock price over time.", | |
| "data": {"url": "data/stocks.csv"}, | |
| "transform": [{"filter": "datum.symbol==='GOOG'"}], | |
| "layer": [ | |
| {"mark": {"type": "area", "fill": "red"}}, | |
| { | |
| "mark": { | |
| "type": "area", |
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| { | |
| "$schema": "https://vega.github.io/schema/vega-lite/v5.json", | |
| "description": "Google's stock price over time.", | |
| "data": {"url": "data/stocks.csv"}, | |
| "transform": [{"filter": "datum.symbol==='GOOG'"}], | |
| "mark": { | |
| "type": "area", | |
| "line": {"color": "darkgreen"}, | |
| "fill": { | |
| "x1": 0.1, |
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| { | |
| "$schema": "https://vega.github.io/schema/vega-lite/v5.json", | |
| "description": "Google's stock price over time.", | |
| "data": {"url": "data/stocks.csv"}, | |
| "transform": [{"filter": "datum.symbol==='GOOG'"}], | |
| "mark": { | |
| "type": "area", | |
| "line": {"color": "darkgreen"}, | |
| "fill": { | |
| "x1": 0.1, |
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| { | |
| "$schema": "https://vega.github.io/schema/vega-lite/v5.json", | |
| "title": "Seattle Weather, 2012-2015", | |
| "data": { | |
| "url": "data/seattle-weather.csv" | |
| }, | |
| "vconcat": [ | |
| { "width": 600, | |
| "height": 300, | |
| "layer":[{ |
declann
/ spec.json
Created
July 2, 2024 19:51
https://stackoverflow.com/questions/53673056/mouse-interaction-for-dragging-data-points-in-vega
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| { | |
| "$schema": "https://vega.github.io/schema/vega/v4.json", | |
| "width": 500, | |
| "height": 200, | |
| "autosize": "none", | |
| "signals": [ | |
| { | |
| "name": "whichPoint", | |
| "on": [ | |
| { |
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| { | |
| "$schema": "https://vega.github.io/schema/vega/v5.json", | |
| "width": 400, | |
| "height": 400, | |
| "signals": [ | |
| { | |
| "name": "increase", | |
| "on": [{"events": "rect:click", "force": true, "update": "datum"}] | |
| } | |
| ], |
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| { | |
| "facet": {"column": {"field": "duration", "type": "nominal"}}, | |
| "spec": { | |
| "encoding": {"x": {"field": "bin_i", "type": "ordinal"}}, | |
| "layer": [ | |
| { | |
| "mark": {"type": "bar", "size": 2}, | |
| "encoding": { | |
| "y": {"field": "min", "type": "quantitative"}, | |
| "y2": {"field": "max"} |
declann
/ nilakantha-series.js
Last active
March 5, 2024 11:25
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| // this is https://github.com/declann/calculang-miscellaneous-models/blob/main/models/pi/nilakantha-series_esm/cul_scope_0.mjs | |
| // but with changes described | |
| // so that it runs on numcalc.com (QuickJS) | |
| // with arbirary \digits settings (e.g. \digits 100) | |
| // Ensure in numeric (not algebraic mode) | |
| // CHANGES: | |
| // replaced res = 0 with res=0.0 and 4 by 4.0 | |
| //pi_approximation({terms_in:2000000})-PI |
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