Datasets:

EconomicTermDevelopments
/

frictionshift-economics

id int64 1 200	journey int64 2 66	entry_friction_relief float64 0.08 0.95	mid_journey_friction float64 0.15 0.98	exit_friction float64 0.16 0.98	hidden_fee_intensity float64 0.12 0.74	switching_penalty float64 0.13 0.77	cancellation_cost float64 0 0.63	transparency_level float64 0.04 0.88	frictionshift_index float64 0.26 0.74
1	45	0.679821	0.878568	0.893939	0.574996	0.538994	0.387711	0.610529	0.609325
2	27	0.550798	0.667009	0.380354	0.339764	0.389818	0.358142	0.768502	0.416114
3	47	0.589465	0.673126	0.613103	0.651881	0.318963	0.269395	0.286394	0.526167
4	55	0.711754	0.287883	0.384031	0.143792	0.328538	0.280677	0.515361	0.304676
5	49	0.151168	0.403522	0.508686	0.548177	0.321789	0.521591	0.702241	0.504308
6	2	0.688848	0.440582	0.382605	0.331488	0.380726	0.139377	0.777971	0.331403
7	18	0.266351	0.734687	0.76392	0.546365	0.251738	0.381399	0.264284	0.600332
8	64	0.696876	0.650349	0.511831	0.618834	0.38953	0.373352	0.437755	0.492189
9	15	0.44354	0.576979	0.616903	0.368248	0.451491	0.416756	0.189159	0.530608
10	62	0.693904	0.216125	0.374846	0.388841	0.399946	0.393492	0.57784	0.351602
11	3	0.647448	0.369594	0.554684	0.345001	0.482824	0.422185	0.733779	0.414184
12	58	0.344467	0.568822	0.442259	0.199518	0.278615	0.296077	0.46129	0.420793
13	20	0.22019	0.622675	0.608675	0.496322	0.310321	0.379933	0.260726	0.558127
14	30	0.360669	0.340324	0.346401	0.309165	0.358232	0.272455	0.159908	0.412759
15	56	0.60173	0.594025	0.469532	0.59087	0.466415	0.449463	0.372625	0.508671
16	5	0.843832	0.680334	0.473583	0.416228	0.349828	0.27269	0.524524	0.411767
17	15	0.768547	0.396246	0.410876	0.278087	0.258911	0.277462	0.121673	0.362281
18	21	0.854898	0.437258	0.564891	0.44149	0.380422	0.321089	0.658881	0.392971
19	52	0.186204	0.42147	0.392923	0.269215	0.330408	0.310298	0.761481	0.4056
20	28	0.607827	0.626002	0.679205	0.560164	0.496052	0.457269	0.168966	0.571334
21	17	0.168153	0.822565	0.469786	0.404164	0.476366	0.121443	0.200762	0.551896
22	26	0.632734	0.264801	0.475283	0.312485	0.276922	0.291164	0.223879	0.374638
23	16	0.667677	0.749264	0.65142	0.567918	0.42834	0.415826	0.775732	0.515367
24	17	0.752839	0.557681	0.496108	0.319767	0.436589	0.300305	0.372585	0.421568
25	41	0.379302	0.533424	0.514613	0.29128	0.522278	0.349583	0.652988	0.464603
26	52	0.522463	0.891522	0.556003	0.709527	0.54613	0.53624	0.291282	0.631728
27	66	0.510736	0.263097	0.416218	0.338934	0.409266	0.30539	0.153479	0.409731
28	23	0.506992	0.514226	0.383845	0.461022	0.375395	0.291647	0.198321	0.453517
29	31	0.623715	0.686382	0.35826	0.518461	0.428028	0.35786	0.322442	0.474179
30	29	0.552495	0.742919	0.591524	0.63515	0.638105	0.601233	0.807916	0.578296
31	24	0.56406	0.249424	0.502653	0.43908	0.208593	0.493811	0.683644	0.385492
32	56	0.411197	0.807607	0.7229	0.631442	0.394639	0.352582	0.519058	0.593295
33	18	0.207544	0.619565	0.636383	0.454559	0.219358	0.251657	0.424349	0.517041
34	63	0.254769	0.580489	0.507657	0.449203	0.393299	0.546724	0.471829	0.533537
35	43	0.505851	0.584046	0.35707	0.526082	0.408714	0.349844	0.287345	0.474429
36	24	0.350612	0.615782	0.982642	0.698815	0.608392	0.519479	0.143224	0.713833
37	66	0.337805	0.661564	0.386264	0.478412	0.329029	0.25904	0.464779	0.472323
38	56	0.755082	0.907726	0.583923	0.516736	0.39461	0.287786	0.706648	0.492235
39	66	0.108547	0.777261	0.604612	0.365955	0.23189	0.149046	0.37917	0.528657
40	66	0.906809	0.425366	0.545497	0.556564	0.561638	0.555779	0.66464	0.451407
41	30	0.678885	0.649935	0.528438	0.169808	0.366877	0	0.18587	0.398296
42	42	0.665856	0.822934	0.540065	0.58828	0.397791	0.263835	0.88431	0.477194
43	35	0.676417	0.830329	0.523613	0.450753	0.342622	0.287705	0.10854	0.508806
44	31	0.628017	0.581751	0.470861	0.579809	0.598808	0.543791	0.551861	0.517039
45	11	0.702873	0.451903	0.435316	0.467206	0.262126	0.257263	0.418282	0.389825
46	38	0.318466	0.717825	0.612168	0.378423	0.386977	0.304453	0.410818	0.531094
47	43	0.079311	0.350568	0.456412	0.451073	0.163663	0.463904	0.742057	0.447658
48	22	0.364335	0.814924	0.514462	0.539617	0.564526	0.376777	0.650701	0.560803
49	51	0.575284	0.853189	0.697909	0.68302	0.608735	0.477453	0.470102	0.629745
50	14	0.264943	0.513691	0.504828	0.463472	0.346553	0.371516	0.311019	0.508438
51	61	0.509299	0.724049	0.54942	0.488637	0.341094	0.257376	0.300497	0.50721
52	47	0.195857	0.439467	0.210587	0.36804	0.428273	0.140446	0.635178	0.389896
53	26	0.675483	0.568905	0.541816	0.606693	0.48417	0.486055	0.454273	0.51166
54	58	0.529177	0.817414	0.593358	0.427395	0.484685	0.200442	0.574576	0.509699
55	63	0.600501	0.272295	0.444092	0.475479	0.218719	0.376724	0.70647	0.363702
56	36	0.255632	0.917283	0.559568	0.494671	0.484718	0.456751	0.348178	0.616854
57	10	0.841827	0.14526	0.479939	0.319531	0.412115	0.325859	0.626961	0.319141
58	20	0.494971	0.542695	0.372054	0.391544	0.335184	0.197388	0.604869	0.396816
59	35	0.729853	0.536973	0.593647	0.321295	0.372006	0.294281	0.592695	0.413852
60	60	0.247472	0.283081	0.316933	0.516917	0.288474	0.247172	0.301245	0.422688
61	41	0.570535	0.50768	0.412369	0.474289	0.300869	0.40214	0.678189	0.415837
62	61	0.863187	0.569522	0.373916	0.303829	0.377081	0.191824	0.669444	0.335928
63	33	0.639543	0.669798	0.512866	0.464936	0.258086	0.350645	0.289934	0.469609
64	49	0.848691	0.617253	0.429486	0.359089	0.44185	0.249303	0.67986	0.380682
65	38	0.754925	0.887608	0.489189	0.422502	0.397568	0.384885	0.405181	0.491197
66	37	0.74245	0.291332	0.284632	0.313921	0.253717	0.264967	0.653473	0.284863
67	31	0.604689	0.790233	0.657803	0.524221	0.385779	0.444659	0.053731	0.580286
68	2	0.516342	0.653756	0.535754	0.372955	0.468547	0.365244	0.505769	0.488101
69	39	0.680874	0.85277	0.615718	0.604569	0.535583	0.330382	0.391286	0.56432
70	15	0.554089	0.596406	0.417962	0.48827	0.343576	0.226967	0.55404	0.430581
71	64	0.698172	0.740844	0.682907	0.591859	0.511057	0.501639	0.748188	0.543959
72	26	0.494514	0.167115	0.242042	0.389083	0.435469	0.448319	0.298236	0.379073
73	55	0.848525	0.530476	0.352376	0.381603	0.27262	0.569741	0.290387	0.400919
74	24	0.951276	0.478722	0.744117	0.327675	0.602407	0.369605	0.648892	0.441446
75	37	0.394063	0.788877	0.578316	0.525873	0.519054	0.410631	0.682726	0.55818
76	52	0.892858	0.439148	0.551802	0.408035	0.480615	0.510283	0.335396	0.442598
77	43	0.233901	0.552966	0.544415	0.395808	0.39334	0.024427	0.419522	0.472378
78	58	0.295615	0.578031	0.504344	0.631531	0.476839	0.494432	0.24941	0.579149
79	47	0.345599	0.403763	0.596971	0.364405	0.542748	0.518659	0.34851	0.52426
80	29	0.539017	0.643693	0.487002	0.350934	0.378879	0.377167	0.345193	0.471766
81	20	0.723138	0.841878	0.397673	0.368663	0.484844	0.516223	0.448169	0.485953
82	53	0.211451	0.680872	0.480575	0.373543	0.559146	0.333265	0.25314	0.553239
83	52	0.407451	0.520837	0.436107	0.493811	0.269587	0.195073	0.659197	0.420937
84	47	0.158081	0.603347	0.584734	0.324016	0.406115	0.168078	0.434654	0.505447
85	62	0.323069	0.340274	0.633649	0.454222	0.450485	0.494769	0.327767	0.524838
86	46	0.38092	0.436491	0.455375	0.389439	0.332203	0.249189	0.1693	0.452762
87	52	0.580064	0.699521	0.472984	0.575008	0.371185	0.467191	0.493607	0.505853
88	33	0.434271	0.793549	0.672456	0.492967	0.559484	0.369396	0.066051	0.616907
89	26	0.410169	0.485608	0.266998	0.395323	0.54821	0.521809	0.529511	0.45393
90	53	0.589081	0.272265	0.320843	0.471301	0.353853	0.327486	0.199789	0.393522
91	49	0.628747	0.714532	0.237957	0.119109	0.436433	0.086439	0.318353	0.358955
92	35	0.677513	0.789738	0.402645	0.441685	0.162648	0.218082	0.685224	0.396828
93	41	0.935985	0.573138	0.31637	0.386647	0.172643	0.167626	0.80172	0.285949
94	23	0.475606	0.734709	0.493382	0.645031	0.331557	0.513528	0.427173	0.546717
95	50	0.897433	0.409789	0.599393	0.401567	0.394341	0.375315	0.38409	0.413573
96	19	0.530882	0.800058	0.513614	0.533304	0.454945	0.506877	0.661898	0.533303
97	43	0.615204	0.79936	0.585687	0.617226	0.497368	0.35512	0.665663	0.536656
98	45	0.652141	0.485371	0.289303	0.485076	0.280732	0.232183	0.156892	0.396445
99	2	0.308564	0.668479	0.36814	0.401468	0.354011	0.26208	0.372306	0.472847
100	63	0.823992	0.706492	0.551774	0.482736	0.468079	0.424546	0.359094	0.493021

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Frictionshift Economics Dataset

Dataset Description

Summary

Synthetic 200-row dataset for Frictionshift measurement and computational experiments.

Supported Tasks

Economic analysis
Platform Economics / Digital Markets research
Computational economics

Languages

English (metadata and documentation)
Python (code examples)

Dataset Structure

Data Fields

id: Unique observation id
journey: Synthetic customer journey cohort
entry_friction_relief: Reduction in onboarding friction at entry stage
mid_journey_friction: Friction introduced during service usage steps
exit_friction: Friction imposed at cancellation or switching stage
hidden_fee_intensity: Intensity of non-salient deferred fees
switching_penalty: Penalty magnitude for platform exit/switch
cancellation_cost: Economic and time cost of cancellation process
transparency_level: Transparency of full lifecycle costs
frictionshift_index: Composite term index

Data Splits

Full dataset: 200 examples

Dataset Creation

Source Data

Synthetic data generated for demonstrating Frictionshift applications.

Data Generation

Channels are sampled from controlled distributions with correlated structure. The term index is computed from normalized channels and directional weights.

Considerations

Social Impact

Research-only synthetic data for method development and reproducibility testing.

Additional Information

Licensing

MIT License - free for academic and commercial use.

Citation

@dataset{frictionshift2026, title={{Frictionshift Economics Dataset}}, author={{Economic Research Collective}}, year={{2026}} }

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