diff --git a/contribs/application/src/main/java/org/matsim/application/analysis/population/TripAnalysis.java b/contribs/application/src/main/java/org/matsim/application/analysis/population/TripAnalysis.java index 928695d14d9..ef2c70e726a 100644 --- a/contribs/application/src/main/java/org/matsim/application/analysis/population/TripAnalysis.java +++ b/contribs/application/src/main/java/org/matsim/application/analysis/population/TripAnalysis.java @@ -49,7 +49,7 @@ public class TripAnalysis implements MATSimAppCommand { private static final Logger log = LogManager.getLogger(TripAnalysis.class); /** - * Person attribute that contains the reference modes of a person. + * Person attribute that contains the reference modes of a person. Multiple modes are delimited by "-". */ public static String ATTR_REF_MODES = "ref_modes"; /** diff --git a/contribs/application/src/main/java/org/matsim/application/analysis/population/TripByGroupAnalysis.java b/contribs/application/src/main/java/org/matsim/application/analysis/population/TripByGroupAnalysis.java index 59f669ad159..7a0787767cf 100644 --- a/contribs/application/src/main/java/org/matsim/application/analysis/population/TripByGroupAnalysis.java +++ b/contribs/application/src/main/java/org/matsim/application/analysis/population/TripByGroupAnalysis.java @@ -103,9 +103,19 @@ void analyzeModeShare(Table trips, List dists, Function ou Comparator cmp = Comparator.comparingInt(row -> dists.indexOf(row.getString("dist_group"))); aggr = aggr.sortOn(cmp.thenComparing(row -> row.getString("main_mode"))); - // TODO: norm by category and dist_group - // probably need two separate files as well (with and without dist) - // not normed is more useful for now + // Norm each group to 1 + String norm = group.columns.get(0); + if (group.columns.size() > 1) + throw new UnsupportedOperationException("Multiple columns not supported yet"); + + for (String label : aggr.stringColumn(norm).asSet()) { + DoubleColumn dist_group = aggr.doubleColumn("sim_share"); + Selection sel = aggr.stringColumn(norm).isEqualTo(label); + + double total = dist_group.where(sel).sum(); + if (total > 0) + dist_group.set(sel, dist_group.divide(total)); + } Table joined = new DataFrameJoiner(group.data, join).leftOuter(aggr); joined.column("share").setName("ref_share"); diff --git a/contribs/application/src/main/java/org/matsim/application/analysis/population/TripChoiceAnalysis.java b/contribs/application/src/main/java/org/matsim/application/analysis/population/TripChoiceAnalysis.java index 7c249216cbf..4857359d854 100644 --- a/contribs/application/src/main/java/org/matsim/application/analysis/population/TripChoiceAnalysis.java +++ b/contribs/application/src/main/java/org/matsim/application/analysis/population/TripChoiceAnalysis.java @@ -98,6 +98,9 @@ public TripChoiceAnalysis(Table persons, Table trips, List modeOrder) { } private static double round(double d) { + if (Double.isNaN(d)) + return Double.NaN; + return BigDecimal.valueOf(d).setScale(5, RoundingMode.HALF_UP).doubleValue(); } @@ -162,9 +165,9 @@ public void writeChoiceEvaluation(Path path) throws IOException { total = c.total; } - OptionalDouble precision = counts.values().stream().mapToDouble(TripChoiceAnalysis::precision).average(); - OptionalDouble recall = counts.values().stream().mapToDouble(TripChoiceAnalysis::recall).average(); - OptionalDouble f1 = counts.values().stream().mapToDouble(TripChoiceAnalysis::f1).average(); + OptionalDouble precision = counts.values().stream().mapToDouble(TripChoiceAnalysis::precision).filter(Double::isFinite).average(); + OptionalDouble recall = counts.values().stream().mapToDouble(TripChoiceAnalysis::recall).filter(Double::isFinite).average(); + OptionalDouble f1 = counts.values().stream().mapToDouble(TripChoiceAnalysis::f1).filter(Double::isFinite).average(); try (CSVPrinter csv = new CSVPrinter(Files.newBufferedWriter(path), CSVFormat.DEFAULT)) { diff --git a/contribs/simwrapper/src/main/java/org/matsim/simwrapper/dashboard/TripDashboard.java b/contribs/simwrapper/src/main/java/org/matsim/simwrapper/dashboard/TripDashboard.java index caf839e1579..1ab7dee2244 100644 --- a/contribs/simwrapper/src/main/java/org/matsim/simwrapper/dashboard/TripDashboard.java +++ b/contribs/simwrapper/src/main/java/org/matsim/simwrapper/dashboard/TripDashboard.java @@ -1,22 +1,33 @@ package org.matsim.simwrapper.dashboard; import org.matsim.application.analysis.population.TripAnalysis; +import org.matsim.application.options.CsvOptions; +import org.matsim.core.utils.io.IOUtils; import org.matsim.simwrapper.Dashboard; import org.matsim.simwrapper.Header; import org.matsim.simwrapper.Layout; import org.matsim.simwrapper.viz.*; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; import tech.tablesaw.plotly.components.Axis; import tech.tablesaw.plotly.traces.BarTrace; import javax.annotation.Nullable; +import java.io.BufferedReader; +import java.io.IOException; +import java.io.UncheckedIOException; +import java.util.Arrays; import java.util.List; import java.util.Map; +import java.util.Objects; /** * Shows trip information, optionally against reference data. */ public class TripDashboard implements Dashboard { + private static final Logger log = LoggerFactory.getLogger(TripDashboard.class); + @Nullable private final String modeShareRefCsv; @Nullable @@ -57,8 +68,18 @@ public TripDashboard(@Nullable String modeShareRefCsv, @Nullable String modeShar } private static String[] detectCategories(String groupedRefCsv) { - // TODO: Implement - return new String[0]; + try { + Character c = CsvOptions.detectDelimiter(groupedRefCsv); + try (BufferedReader reader = IOUtils.getBufferedReader(groupedRefCsv)) { + String header = reader.readLine(); + return Arrays.stream(header.split(String.valueOf(c))) + .filter(s -> !s.equals("main_mode") && !s.equals("share") && !s.equals("dist_group")) + .toArray(String[]::new); + } + + } catch (IOException e) { + throw new UncheckedIOException(e); + } } /** @@ -71,6 +92,7 @@ public TripDashboard withGroupedRefData(String groupedRefCsv, String... categori this.groupedRefCsv = groupedRefCsv; if (categories.length == 0) { categories = detectCategories(groupedRefCsv); + log.info("Detected categories from reference data: {}", Arrays.toString(categories)); } this.categories = categories; return this; @@ -340,30 +362,35 @@ private void createChoiceTab(Layout layout, String[] args) { private void createGroupedTab(Layout layout, String[] args) { - // age,economic_status,dist_group,main_mode,share - layout.row("facets", "By Groups").el(Plotly.class, (viz, data) -> { + for (String cat : Objects.requireNonNull(categories, "Categories not set")) { - viz.title = "FACETS"; - viz.description = "by hour and purpose"; - viz.layout = tech.tablesaw.plotly.components.Layout.builder() - .xAxis(Axis.builder().title("dist_group").build()) - .yAxis(Axis.builder().title("sim_share").build()) - .barMode(tech.tablesaw.plotly.components.Layout.BarMode.STACK) - .build(); + layout.row("category_" + cat, "By Groups").el(Plotly.class, (viz, data) -> { - // TODO: Still in testing - viz.addTrace(BarTrace.builder(Plotly.OBJ_INPUT, Plotly.INPUT).build(), - viz.addDataset(data.computeWithPlaceholder(TripAnalysis.class, "mode_share_per_%s.csv", "age")).mapping() - .facetCol("age") - .name("main_mode", ColorScheme.Spectral) - .x("dist_group") - .y("sim_share") - ); + viz.title = "Mode share"; + viz.description = "by " + cat; + viz.layout = tech.tablesaw.plotly.components.Layout.builder() + .xAxis(Axis.builder().title("dist_group").build()) + .yAxis(Axis.builder().title("sim_share").build()) + .barMode(tech.tablesaw.plotly.components.Layout.BarMode.STACK) + .build(); - }); + // TODO: Still in testing + Plotly.DataMapping ds = viz.addDataset(data.computeWithPlaceholder(TripAnalysis.class, "mode_share_per_%s.csv", cat)) + .pivot(List.of("main_mode"), "source", "share") + .aggregate(List.of("main_mode", "source", cat), "share", Plotly.AggrFunc.SUM) + .mapping() + .facetCol(cat) + .name("main_mode") + .x("share") + .y("source"); - // TODO create the additional tab + viz.addTrace(BarTrace.builder(Plotly.OBJ_INPUT, Plotly.INPUT) + .orientation(BarTrace.Orientation.HORIZONTAL) + .build(), ds); + }); + + } } } diff --git a/contribs/simwrapper/src/test/resources/mode_share_per_group_dist_ref.csv b/contribs/simwrapper/src/test/resources/mode_share_per_group_dist_ref.csv index 7ab70a67d9d..a293d24b2c2 100644 --- a/contribs/simwrapper/src/test/resources/mode_share_per_group_dist_ref.csv +++ b/contribs/simwrapper/src/test/resources/mode_share_per_group_dist_ref.csv @@ -1,271 +1,1231 @@ -age,economic_status,dist_group,main_mode,share -,,0 - 1000,bike,0.03993953574665 -,,0 - 1000,car,0.010077686113465548 -,,0 - 1000,pt,0.0035575461836548946 -,,0 - 1000,ride,0.0037969819009802397 -,,0 - 1000,walk,0.22881070677001764 -,,1000 - 2000,bike,0.04698342341346555 -,,1000 - 2000,car,0.023147292190076742 -,,1000 - 2000,pt,0.02007970854535886 -,,1000 - 2000,ride,0.010215459406613094 -,,1000 - 2000,walk,0.05220619945665914 -,,2000 - 5000,bike,0.05624516000252578 -,,2000 - 5000,car,0.05164117094781402 -,,2000 - 5000,pt,0.07035847284671681 -,,2000 - 5000,ride,0.019753111426262702 -,,2000 - 5000,walk,0.013501281662145714 -,,5000 - 10000,bike,0.02693069701653698 -,,5000 - 10000,car,0.05215320525856776 -,,5000 - 10000,pt,0.08244750747280563 -,,5000 - 10000,ride,0.01397122077983446 -,,5000 - 10000,walk,0.001517535520605139 -,,10000 - 20000,bike,0.007136782872703979 -,,10000 - 20000,car,0.04134445948649564 -,,10000 - 20000,pt,0.06385899348452925 -,,10000 - 20000,ride,0.007926042173942492 -,,10000 - 20000,walk,0.0005273153061550004 -,,20000+,bike,0.0006419443250597948 -,,20000+,car,0.022309302342807483 -,,20000+,pt,0.024771142628339887 -,,20000+,ride,0.003944497517436229 -,,20000+,walk,0.00020561720177352156 -0 - 18,,0 - 1000,bike,0.07229378725286068 -0 - 18,,0 - 1000,car,2.2787447948172964e-05 -0 - 18,,0 - 1000,pt,0.0032885333542058675 -0 - 18,,0 - 1000,ride,0.014726340770922693 -0 - 18,,0 - 1000,walk,0.27842606902732 -0 - 18,,1000 - 2000,bike,0.08569283527359176 -0 - 18,,1000 - 2000,car,9.9737820478634e-05 -0 - 18,,1000 - 2000,pt,0.02591594763943778 -0 - 18,,1000 - 2000,ride,0.0405848317671109 -0 - 18,,1000 - 2000,walk,0.06385876158993227 -0 - 18,,2000 - 5000,bike,0.06412457627408044 -0 - 18,,2000 - 5000,car,0.00013846416722995588 -0 - 18,,2000 - 5000,pt,0.10245573841407069 -0 - 18,,2000 - 5000,ride,0.0696453433344005 -0 - 18,,2000 - 5000,walk,0.008117395318933516 -0 - 18,,5000 - 10000,bike,0.007277279625603125 -0 - 18,,5000 - 10000,car,0.00013224825537415898 -0 - 18,,5000 - 10000,pt,0.07106402349407442 -0 - 18,,5000 - 10000,ride,0.03997163402508548 -0 - 18,,5000 - 10000,walk,0.0007362455953801282 -0 - 18,,10000 - 20000,bike,0.0005175567280619023 -0 - 18,,10000 - 20000,car,5.133475935144192e-05 -0 - 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66,,5000 - 10000,bike,0.03637397303511378 -18 - 66,,5000 - 10000,car,0.060555551635949174 -18 - 66,,5000 - 10000,pt,0.09229605293671034 -18 - 66,,5000 - 10000,ride,0.00759953611299685 -18 - 66,,5000 - 10000,walk,0.001544428102195918 -18 - 66,,10000 - 20000,bike,0.009833559150348366 -18 - 66,,10000 - 20000,car,0.05152644339404211 -18 - 66,,10000 - 20000,pt,0.07923721033910733 -18 - 66,,10000 - 20000,ride,0.005266544462625669 -18 - 66,,10000 - 20000,walk,0.00047023586422664473 -18 - 66,,20000+,bike,0.0008439707548347554 -18 - 66,,20000+,car,0.028513445657508366 -18 - 66,,20000+,pt,0.032056642580330474 -18 - 66,,20000+,ride,0.0030548198681034284 -18 - 66,,20000+,walk,0.00020725743649875283 -66+,,0 - 1000,bike,0.028917781379748875 -66+,,0 - 1000,car,0.01756905891685044 -66+,,0 - 1000,pt,0.008273204993617672 -66+,,0 - 1000,ride,0.004628191849485549 -66+,,0 - 1000,walk,0.2851630822571291 -66+,,1000 - 2000,bike,0.02854964969272559 -66+,,1000 - 2000,car,0.03882086040651397 -66+,,1000 - 2000,pt,0.0331697357735842 -66+,,1000 - 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10000,walk,0.0016415405564862843 +,,,job_full_time,,,,10000 - 20000,bike,0.013184442284954296 +,,,job_full_time,,,,10000 - 20000,car,0.07129160225405813 +,,,job_full_time,,,,10000 - 20000,pt,0.08151361323102535 +,,,job_full_time,,,,10000 - 20000,ride,0.004736631628841786 +,,,job_full_time,,,,10000 - 20000,walk,0.0005586884147394083 +,,,job_full_time,,,,20000+,bike,0.0012490068587271434 +,,,job_full_time,,,,20000+,car,0.040567119638494215 +,,,job_full_time,,,,20000+,pt,0.03520659977092769 +,,,job_full_time,,,,20000+,ride,0.0026266559172975616 +,,,job_full_time,,,,20000+,walk,0.00027133961388065865 +,,,job_part_time,,,,0 - 1000,bike,0.05788930935252188 +,,,job_part_time,,,,0 - 1000,car,0.012600124011170702 +,,,job_part_time,,,,0 - 1000,pt,0.0023022363889259505 +,,,job_part_time,,,,0 - 1000,ride,0.0008752863426891199 +,,,job_part_time,,,,0 - 1000,walk,0.20651593711522592 +,,,job_part_time,,,,1000 - 2000,bike,0.06120183442984339 +,,,job_part_time,,,,1000 - 2000,car,0.026187254055777424 +,,,job_part_time,,,,1000 - 2000,pt,0.013670138011963498 +,,,job_part_time,,,,1000 - 2000,ride,0.0038638859763716928 +,,,job_part_time,,,,1000 - 2000,walk,0.03876773747170083 +,,,job_part_time,,,,2000 - 5000,bike,0.0764631165846227 +,,,job_part_time,,,,2000 - 5000,car,0.06256351536224046 +,,,job_part_time,,,,2000 - 5000,pt,0.0600216466376844 +,,,job_part_time,,,,2000 - 5000,ride,0.008006383164056257 +,,,job_part_time,,,,2000 - 5000,walk,0.011413641974962621 +,,,job_part_time,,,,5000 - 10000,bike,0.03941403115041603 +,,,job_part_time,,,,5000 - 10000,car,0.05348787502585056 +,,,job_part_time,,,,5000 - 10000,pt,0.08638440908282295 +,,,job_part_time,,,,5000 - 10000,ride,0.0055825350733728395 +,,,job_part_time,,,,5000 - 10000,walk,0.001733409888793159 +,,,job_part_time,,,,10000 - 20000,bike,0.008134087823778351 +,,,job_part_time,,,,10000 - 20000,car,0.03788210760082822 +,,,job_part_time,,,,10000 - 20000,pt,0.07732057340507803 +,,,job_part_time,,,,10000 - 20000,ride,0.0042621188147322865 +,,,job_part_time,,,,10000 - 20000,walk,0.0001262979901470656 +,,,job_part_time,,,,20000+,bike,0.0005251906869208823 +,,,job_part_time,,,,20000+,car,0.014722131884886766 +,,,job_part_time,,,,20000+,pt,0.025900077307611968 +,,,job_part_time,,,,20000+,ride,0.002065947509913174 +,,,job_part_time,,,,20000+,walk,0.00011715987509080905 +,,,other,,,,0 - 1000,bike,0.04930384107342923 +,,,other,,,,0 - 1000,car,0.011788223194744126 +,,,other,,,,0 - 1000,pt,0.0013729829565074935 +,,,other,,,,0 - 1000,ride,0.0017187249197642756 +,,,other,,,,0 - 1000,walk,0.2937438405365747 +,,,other,,,,1000 - 2000,bike,0.04544589572290246 +,,,other,,,,1000 - 2000,car,0.03192982545506678 +,,,other,,,,1000 - 2000,pt,0.01702973565121598 +,,,other,,,,1000 - 2000,ride,0.00312445438232703 +,,,other,,,,1000 - 2000,walk,0.09423363848630212 +,,,other,,,,2000 - 5000,bike,0.053031784306758735 +,,,other,,,,2000 - 5000,car,0.0587406381989171 +,,,other,,,,2000 - 5000,pt,0.06116382459167897 +,,,other,,,,2000 - 5000,ride,0.00818344587606724 +,,,other,,,,2000 - 5000,walk,0.021102897779573446 +,,,other,,,,5000 - 10000,bike,0.02352965810583334 +,,,other,,,,5000 - 10000,car,0.04601077851041131 +,,,other,,,,5000 - 10000,pt,0.06310661719139919 +,,,other,,,,5000 - 10000,ride,0.012425388935623692 +,,,other,,,,5000 - 10000,walk,0.0008639159974911152 +,,,other,,,,10000 - 20000,bike,0.0026416428973974806 +,,,other,,,,10000 - 20000,car,0.030993548409293373 +,,,other,,,,10000 - 20000,pt,0.03167623382196632 +,,,other,,,,10000 - 20000,ride,0.005060710378546935 +,,,other,,,,10000 - 20000,walk,0.0 +,,,other,,,,20000+,bike,0.0 +,,,other,,,,20000+,car,0.014056919018589648 +,,,other,,,,20000+,pt,0.01373268963452078 +,,,other,,,,20000+,ride,0.003868050560621929 +,,,other,,,,20000+,walk,0.00012009340647531543 +,,,,yes,,,0 - 1000,bike,0.03299714650207197 +,,,,yes,,,0 - 1000,car,0.017027002619882433 +,,,,yes,,,0 - 1000,pt,0.001447150167269608 +,,,,yes,,,0 - 1000,ride,0.006170949721414438 +,,,,yes,,,0 - 1000,walk,0.19741858334434997 +,,,,yes,,,1000 - 2000,bike,0.037957883407812 +,,,,yes,,,1000 - 2000,car,0.0394529320636818 +,,,,yes,,,1000 - 2000,pt,0.011451027027536226 +,,,,yes,,,1000 - 2000,ride,0.01641946900059602 +,,,,yes,,,1000 - 2000,walk,0.04651342478512875 +,,,,yes,,,2000 - 5000,bike,0.040949944088661795 +,,,,yes,,,2000 - 5000,car,0.08811056075566344 +,,,,yes,,,2000 - 5000,pt,0.039127179750233054 +,,,,yes,,,2000 - 5000,ride,0.03091813771250092 +,,,,yes,,,2000 - 5000,walk,0.011315043201306118 +,,,,yes,,,5000 - 10000,bike,0.019017621788004747 +,,,,yes,,,5000 - 10000,car,0.08791860269484927 +,,,,yes,,,5000 - 10000,pt,0.049812041547093816 +,,,,yes,,,5000 - 10000,ride,0.02156168933687161 +,,,,yes,,,5000 - 10000,walk,0.0013154378478287684 +,,,,yes,,,10000 - 20000,bike,0.007202583446410026 +,,,,yes,,,10000 - 20000,car,0.07045195617229356 +,,,,yes,,,10000 - 20000,pt,0.049749815066314804 +,,,,yes,,,10000 - 20000,ride,0.01138530413745259 +,,,,yes,,,10000 - 20000,walk,0.0004945201895780406 +,,,,yes,,,20000+,bike,0.0006992742746565023 +,,,,yes,,,20000+,car,0.03798906450435869 +,,,,yes,,,20000+,pt,0.0193490440421187 +,,,,yes,,,20000+,ride,0.005583932136757436 +,,,,yes,,,20000+,walk,0.0001926786673028211 +,,,,no,,,0 - 1000,bike,0.05634302463139612 +,,,,no,,,0 - 1000,car,0.00013584823212312846 +,,,,no,,,0 - 1000,pt,0.004223086048582885 +,,,,no,,,0 - 1000,ride,0.0004017508303949193 +,,,,no,,,0 - 1000,walk,0.2580471733726988 +,,,,no,,,1000 - 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20000,bike,0.007171532455515839 +,,,,unknown,,,10000 - 20000,car,0.002130589192925642 +,,,,unknown,,,10000 - 20000,pt,0.08127495675667207 +,,,,unknown,,,10000 - 20000,ride,0.003495551578556325 +,,,,unknown,,,10000 - 20000,walk,0.0006500800744487337 +,,,,unknown,,,20000+,bike,0.0006590572012220345 +,,,,unknown,,,20000+,car,0.0012317691156839004 +,,,,unknown,,,20000+,pt,0.03140217989755744 +,,,,unknown,,,20000+,ride,0.0016057119926328554 +,,,,unknown,,,20000+,walk,0.00019282771958326642 +,,,,,yes,,0 - 1000,bike,0.04698912487219602 +,,,,,yes,,0 - 1000,car,0.010350504080342545 +,,,,,yes,,0 - 1000,pt,0.002005078100267684 +,,,,,yes,,0 - 1000,ride,0.0025947594982208538 +,,,,,yes,,0 - 1000,walk,0.20633753959789913 +,,,,,yes,,1000 - 2000,bike,0.05672700261397835 +,,,,,yes,,1000 - 2000,car,0.02334919632026469 +,,,,,yes,,1000 - 2000,pt,0.014170631577363242 +,,,,,yes,,1000 - 2000,ride,0.007566742947430185 +,,,,,yes,,1000 - 2000,walk,0.04705114468466599 +,,,,,yes,,2000 - 5000,bike,0.07181957575497981 +,,,,,yes,,2000 - 5000,car,0.05407055126753428 +,,,,,yes,,2000 - 5000,pt,0.06176666900576435 +,,,,,yes,,2000 - 5000,ride,0.016015472342173622 +,,,,,yes,,2000 - 5000,walk,0.013218894993642248 +,,,,,yes,,5000 - 10000,bike,0.03532074465966296 +,,,,,yes,,5000 - 10000,car,0.055207432470111104 +,,,,,yes,,5000 - 10000,pt,0.08166242688776854 +,,,,,yes,,5000 - 10000,ride,0.01246459413877433 +,,,,,yes,,5000 - 10000,walk,0.001461452030304094 +,,,,,yes,,10000 - 20000,bike,0.00947171900707687 +,,,,,yes,,10000 - 20000,car,0.043678018613143035 +,,,,,yes,,10000 - 20000,pt,0.0666479672383282 +,,,,,yes,,10000 - 20000,ride,0.006622958957568501 +,,,,,yes,,10000 - 20000,walk,0.0003518277954969559 +,,,,,yes,,20000+,bike,0.0008554476676628036 +,,,,,yes,,20000+,car,0.022583799318947207 +,,,,,yes,,20000+,pt,0.02579374805433979 +,,,,,yes,,20000+,ride,0.003647041013066067 +,,,,,yes,,20000+,walk,0.0001979344910266161 +,,,,,no,,0 - 1000,bike,0.0039012262016867227 +,,,,,no,,0 - 1000,car,0.011058642330257716 +,,,,,no,,0 - 1000,pt,0.005486344364754511 +,,,,,no,,0 - 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10000,bike,0.0016996109909697531 +,,,,,unknown,,5000 - 10000,car,0.04014865505890483 +,,,,,unknown,,5000 - 10000,pt,0.07910634210857279 +,,,,,unknown,,5000 - 10000,ride,0.018465090116188528 +,,,,,unknown,,5000 - 10000,walk,0.0018455430781873152 +,,,,,unknown,,10000 - 20000,bike,0.00011814971112985102 +,,,,,unknown,,10000 - 20000,car,0.03155496878441373 +,,,,,unknown,,10000 - 20000,pt,0.04959157127841764 +,,,,,unknown,,10000 - 20000,ride,0.011563902896211451 +,,,,,unknown,,10000 - 20000,walk,0.0012595592388616737 +,,,,,unknown,,20000+,bike,0.0 +,,,,,unknown,,20000+,car,0.01955813542665283 +,,,,,unknown,,20000+,pt,0.019790102528474483 +,,,,,unknown,,20000+,ride,0.004324709516604467 +,,,,,unknown,,20000+,walk,0.00019432097704832695 +,,,,,,yes,0 - 1000,bike,0.026877735272587144 +,,,,,,yes,0 - 1000,car,0.004609738415460028 +,,,,,,yes,0 - 1000,pt,0.0056114180907021445 +,,,,,,yes,0 - 1000,ride,0.002009607976268384 +,,,,,,yes,0 - 1000,walk,0.2170462833410825 +,,,,,,yes,1000 - 2000,bike,0.0313461177979366 +,,,,,,yes,1000 - 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20000,pt,0.01524471883856497 +,,,,,,no,10000 - 20000,ride,0.007864588085845437 +,,,,,,no,10000 - 20000,walk,0.0005447331264401868 +,,,,,,no,20000+,bike,0.0009236480015640312 +,,,,,,no,20000+,car,0.036775023310245354 +,,,,,,no,20000+,pt,0.007645033418080438 +,,,,,,no,20000+,ride,0.0043792848052615985 +,,,,,,no,20000+,walk,0.00015098969886978098 +,,,,,,unknown,0 - 1000,bike,0.08452578986227006 +,,,,,,unknown,0 - 1000,car,6.486504146205827e-05 +,,,,,,unknown,0 - 1000,pt,0.002175395846041459 +,,,,,,unknown,0 - 1000,ride,0.021684233861045763 +,,,,,,unknown,0 - 1000,walk,0.34731038526891134 +,,,,,,unknown,1000 - 2000,bike,0.07464418315020238 +,,,,,,unknown,1000 - 2000,car,0.000316211749246317 +,,,,,,unknown,1000 - 2000,pt,0.02428926385010706 +,,,,,,unknown,1000 - 2000,ride,0.05746270563561737 +,,,,,,unknown,1000 - 2000,walk,0.08500884635887647 +,,,,,,unknown,2000 - 5000,bike,0.03960672674551991 +,,,,,,unknown,2000 - 5000,car,0.0 +,,,,,,unknown,2000 - 5000,pt,0.04812409458714954 +,,,,,,unknown,2000 - 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