This vignette provides an introduction on how to use the {ParlAT} package to access and subseqently analyze open data provided by the Austrian Parliament. Below are some examples which are meant to give a general overview of the package’s functionality. For details, please consult the reference section.
Get current MPs in the National Council (Nationalrat)
Let’s start with retrieving the compostion of the National Council
(Nationalrat) at the time of writing (26 March 2026). This is done by
the function get_mps_current().
df_current <- get_mps_current(institution = "NR", echo=TRUE)
#> [1] 183
#> {"M":["M"],"W":["W"]}
#> https://www.parlament.gv.at/recherchieren/personen/nationalrat/index.html?WFW_002M=M&WFW_002W=W
#> ⠙ Fetching MPs' names 2/183 | ETA: 3m
#> ⠹ Fetching MPs' names 3/183 | ETA: 3m
#> ⠸ Fetching MPs' names 6/183 | ETA: 3m
#> ⠼ Fetching MPs' names 9/183 | ETA: 3m
#> ⠴ Fetching MPs' names 13/183 | ETA: 3m
#> ⠦ Fetching MPs' names 16/183 | ETA: 3m
#> ⠧ Fetching MPs' names 19/183 | ETA: 3m
#> ⠇ Fetching MPs' names 22/183 | ETA: 3m
#> ⠏ Fetching MPs' names 25/183 | ETA: 2m
#> ⠋ Fetching MPs' names 28/183 | ETA: 2m
#> ⠙ Fetching MPs' names 32/183 | ETA: 2m
#> ⠹ Fetching MPs' names 35/183 | ETA: 2m
#> ⠸ Fetching MPs' names 38/183 | ETA: 2m
#> ⠼ Fetching MPs' names 41/183 | ETA: 2m
#> ⠴ Fetching MPs' names 45/183 | ETA: 2m
#> ⠦ Fetching MPs' names 48/183 | ETA: 2m
#> ⠧ Fetching MPs' names 51/183 | ETA: 2m
#> ⠇ Fetching MPs' names 54/183 | ETA: 2m
#> ⠏ Fetching MPs' names 57/183 | ETA: 2m
#> ⠋ Fetching MPs' names 60/183 | ETA: 2m
#> ⠙ Fetching MPs' names 64/183 | ETA: 2m
#> ⠹ Fetching MPs' names 67/183 | ETA: 2m
#> ⠸ Fetching MPs' names 70/183 | ETA: 2m
#> ⠼ Fetching MPs' names 73/183 | ETA: 2m
#> ⠴ Fetching MPs' names 76/183 | ETA: 2m
#> ⠦ Fetching MPs' names 80/183 | ETA: 2m
#> ⠧ Fetching MPs' names 83/183 | ETA: 2m
#> ⠇ Fetching MPs' names 86/183 | ETA: 2m
#> ⠏ Fetching MPs' names 89/183 | ETA: 1m
#> ⠋ Fetching MPs' names 92/183 | ETA: 1m
#> ⠙ Fetching MPs' names 96/183 | ETA: 1m
#> ⠹ Fetching MPs' names 99/183 | ETA: 1m
#> ⠸ Fetching MPs' names 102/183 | ETA: 1m
#> ⠼ Fetching MPs' names 105/183 | ETA: 1m
#> ⠴ Fetching MPs' names 108/183 | ETA: 1m
#> ⠦ Fetching MPs' names 111/183 | ETA: 1m
#> ⠧ Fetching MPs' names 115/183 | ETA: 1m
#> ⠇ Fetching MPs' names 118/183 | ETA: 1m
#> ⠏ Fetching MPs' names 121/183 | ETA: 1m
#> ⠋ Fetching MPs' names 124/183 | ETA: 1m
#> ⠙ Fetching MPs' names 127/183 | ETA: 1m
#> ⠹ Fetching MPs' names 131/183 | ETA: 49s
#> ⠸ Fetching MPs' names 134/183 | ETA: 46s
#> ⠼ Fetching MPs' names 137/183 | ETA: 43s
#> ⠴ Fetching MPs' names 140/183 | ETA: 40s
#> ⠦ Fetching MPs' names 144/183 | ETA: 37s
#> ⠧ Fetching MPs' names 147/183 | ETA: 34s
#> ⠇ Fetching MPs' names 150/183 | ETA: 31s
#> ⠏ Fetching MPs' names 153/183 | ETA: 28s
#> ⠋ Fetching MPs' names 156/183 | ETA: 25s
#> ⠙ Fetching MPs' names 159/183 | ETA: 23s
#> ⠹ Fetching MPs' names 163/183 | ETA: 19s
#> ⠸ Fetching MPs' names 166/183 | ETA: 16s
#> ⠼ Fetching MPs' names 169/183 | ETA: 13s
#> ⠴ Fetching MPs' names 172/183 | ETA: 10s
#> ⠦ Fetching MPs' names 175/183 | ETA: 8s
#> ⠧ Fetching MPs' names 179/183 | ETA: 4s
#> ⠇ Fetching MPs' names 182/183 | ETA: 1s
#> Fetched 183 MPs' names.
#>
nrow(df_current)
#> [1] 183
df_current %>%
count(party, sort=T)
#> # A tibble: 5 × 2
#> party n
#> <chr> <int>
#> 1 FPÖ 57
#> 2 ÖVP 51
#> 3 SPÖ 41
#> 4 NEOS 18
#> 5 Grüne 16If we want to get the composition of a chamber in the past, the
function get_mps() comes into play. It either returns all
MPs of the requested chamber, who formed part of it in the course of the
entire legislative period (legis_period argument), or at a
specific date (date argument). The latter is a convenient
way to get the composition of the NR at a specifc date.
Note that the legis_period filter is not applicable when
searching MPs of the Federal Council (Bundesrat). This limitation
includes also searches for MPs across all chambers.
#Search for all MPs in the National Council as of 1 January 2025
mps_01012025 <- get_mps(date="01.01.2025", institution="NR")
glimpse(mps_01012025)
#> Rows: 183
#> Columns: 7
#> Groups: pad_intern [183]
#> $ date <date> 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01, 2025-01-01
#> $ pad_intern <int> 145, 1567, 1937, 1944, 1970, 1971, 1972, 1974, 1975, 1977, 1981, 1986, 1987, 2001, 2122, 2136, 2295, 2309, 2327, 2330, 2332, 2334, 2337, 2339, 2343, 2344, 2345, 2834, 2979, 2996, 2998, 3133, 3155, 3489, 3717, 5065, 5438, 5439, 5486, 5623, 5626, 5627, 5630, 5632, 5634, 5639, 5641, 5643, 5644, 5645, 5646, 5647, 5650, 5653, 5654, 5670, 5672, 5676, 5677, 5678, 5679, 5681, 5683, 5684, 5685, 5687, 6151, 6407, 6485, 6486, 6502, 6506, 8242, 10778, 12741, 14769, 14795, 14835, 14842, 14896, 16218, 16234, 20056, 20445, 22694, 22847, 23167, 23963, 25188, 30645, 30646, 30647, 30648, 30649, 30650, 30653, 30655, 30656, 30657, 30658, 30659, 30660, 30661, 30662, 30663, 30664, 30665, 30666, 30667, 30668, 30669, 30670, 30680, 30681, 30684, 30685, 30688, 30689, 30693, 30694, 30695, 30696, 30697, 30698, 30700, 30701, 30702, 30704, 30705, 30706, 30707, 30708, 30709, 30717, 30719, 30720, 30722, 30723, 30969, 31991, 35468, 35469, 35487, 35497, 35514, 35520, 35521, 35568, 36187, 47187, 51557, 51568, 51570, 51571, 51577, 52727, 55227, 61639, 64022, 65219, 67199, 72999, 78586, 80479, 83101, 83113, 83122, 83124, 83125, 83127, 83129, 83137, 83148, 83150, 83153, 83299, 83409, 84056, 86613, 87001, 87002, 87039, 91141
#> $ legis_period <chr> "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII", "XXVIII"
#> $ name <chr> "Doris Bures", "Dr. Susanne Fürst", "Mag. Christian Ragger", "Peter Schmiedlechner", "Mag. Gerhard Kaniak", "Dipl.-Ing. Christian Schandor", "Dr. Markus Tschank", "Angela Baumgartner", "Mag. Dr. Juliane Bogner-Strauß", "Tanja Graf", "Mag. Carmen Jeitler-Cincelli, BA", "Dr. Gudrun Kugler", "Andreas Kühberger", "Ing. Klaus Lindinger, BSc", "Nico Marchetti", "Karl Nehammer, MSc", "Claudia Bauer", "Eva-Maria Holzleitner, BSc", "Christoph Stark", "Robert Laimer", "Christoph Zarits", "Mag.<sup>a</sup> Verena Nussbaum", "Sabine Schatz", "Mag. Selma Yildirim", "Douglas Hoyos-Trauttmansdorff", "Dr. Stephanie Krisper", "Dr. Alma Zadić, LL.M.", "Mag. Dr. Martin Graf", "Mag. Karoline Edtstadler", "Ricarda Berger", "Alois Kainz", "MMst. Mag. (FH) Maria Neumann", "Andrea Michaela Schartel", "Christoph Steiner", "Ing. Mag. Volker Reifenberger", "MMag. Dr. Michael Schilchegger", "Lukas Brandweiner", "Dr. Christian Stocker", "Laurenz Pöttinger", "Ing. Josef Hechenberger", "Andreas Minnich", "Carina Reiter", "Mst. Joachim Schnabel", "MMag. Dr. Agnes Totter, BEd", "Bettina Zopf", "Julia Elisabeth Herr", "Maximilian Köllner, MA", "Mag.<sup>a</sup> Dr.<sup>in</sup> Petra Oberrauner", "Alois Schroll", "Michael Seemayer", "Rudolf Silvan", "Petra Tanzler", "Mag. Meri Disoski", "Leonore Gewessler, BA", "Dr. Elisabeth Götze", "Mag. Markus Koza", "Barbara Neßler", "Ralph Schallmeiner", "Mag. Dr. Jakob Schwarz, BA", "Mag. Nina Tomaselli", "Dipl.-Ing. Olga Voglauer", "Süleyman Zorba", "Henrike Brandstötter", "Fiona Fiedler, BEd", "Mag. Martina von Künsberg Sarre", "Mag. Yannick Shetty", "Heike Eder, BSc MBA", "Markus Leinfellner", "Mag. Klaudia Tanner", "MMag. Dr. Susanne Raab", "Mag. Agnes Sirkka Prammer", "Mag. Romana Deckenbacher", "Mag. Werner Kogler", "Mag. Norbert Totschnig, MSc", "Peter Haubner", "Norbert Sieber", "August Wöginger", "Petra Bayr, MA MLS", "Kai Jan Krainer", "Mag. Elisabeth Scheucher-Pichler", "Martina Diesner-Wais", "Mst. Johann Höfinger, MBA", "Mag. (FH) Kurt Egger", "Mag. Gerhard Karner", "Mag. Jörg Leichtfried", "Thomas Spalt", "Christian Oxonitsch", "Andreas Babler, MSc", "MMag. Michaela Schmidt", "Tina Angela Berger", "Irene Eisenhut", "Michael Fürtbauer", "Mag. Marie-Christine Giuliani-Sterrer, BA", "Mag. Paul Hammerl, MA", "Elisabeth Heiß", "Melanie Erasim, MSc", "Dr. Barbara Kolm", "Manuel Litzke, BSc (WU)", "Reinhold Maier", "Michael Oberlechner, MA", "MMag. Alexander Petschnig", "Manuel Pfeifer", "Mag. Katayun Pracher-Hilander", "Christofer Ranzmaier", "Mag. Arnold Schiefer", "Mag. Harald Schuh", "Nicole Sunitsch", "Ing. Harald Thau", "Maximilian Weinzierl", "Mag. Gertraud Auinger-Oberzaucher", "Veit Valentin Dengler", "Johannes Gasser, BA Bakk. MSc", "MMag. Markus Hofer", "Dominik Oberhofer", "Mag. Christoph Pramhofer", "Mag. Sophie Marie Wotschke", "Mag. Katrin Auer", "Roland Baumann", "Reinhold Binder", "Mag. Antonio Della Rossa", "Andreas Haitzer", "Mag. Elke Hanel-Torsch", "Bernhard Herzog", "Mag. Heinrich Himmer", "Bernhard Höfler", "Franz Jantscher", "Wolfgang Kocevar", "Silvia Kumpan-Takacs, MSc BA", "Wolfgang Moitzi", "Mag. Manfred Sams", "Paul Stich", "Barbara Teiber, MA", "MMag. Pia Maria Wieninger", "Margreth Falkner", "Daniela Gmeinbauer", "Mag. Dr. Wolfgang Hattmannsdorfer", "Klaus Mair", "Mag. Harald Servus", "Sebastian Schwaighofer", "Albert Royer", "Dr. Dagmar Belakowitsch", "Mag. Gernot Darmann", "Gabriel Obernosterer", "Josef Muchitsch", "Wolfgang Zanger", "Herbert Kickl", "Ing. Norbert Hofer", "Mag. Norbert Nemeth", "Wendelin Mölzer", "Werner Herbert", "Dipl.-Ing. Gerhard Deimek", "Christian Lausch", "Dr. Walter Rosenkranz", "Mag. Harald Stefan", "Maximilian Linder", "Johannes Schmuckenschlager", "Mag. Michael Hammer", "Hermann Brückl, MA", "Michael Schnedlitz", "Mag. Lukas Hammer", "Mag. Wolfgang Gerstl", "Mag. Klaus Fürlinger", "Christian Hafenecker, MA", "Mag. Karin Greiner", "Sigrid Maurer, BA", "Philip Kucher", "Mag. Beate Meinl-Reisinger, MES", "Michael Bernhard", "Dr. Nikolaus Scherak, MA", "MMag. DDr. Hubert Fuchs", "MMMag. Dr. Axel Kassegger", "Peter Wurm", "Mag. Andreas Hanger", "Andreas Ottenschläger", "Dipl.-Ing. Georg Strasser", "Ing. Manfred Hofinger", "Mag. Ernst Gödl", "Josef Schellhorn", "Mario Lindner", "David Stögmüller", "Rosa Ecker, MBA", "Lisa Schuch-Gubik", "Dipl.-Ing. Karin Doppelbauer"
#> $ gender <chr> "female", "female", "male", "male", "male", "male", "male", "female", "female", "female", "female", "female", "male", "male", "male", "male", "female", "female", "male", "male", "male", "female", "female", "female", "male", "female", "female", "male", "female", "female", "male", "female", "female", "male", "male", "male", "male", "male", "male", "male", "male", "female", "male", "female", "female", "female", "male", "female", "male", "male", "male", "female", "female", "female", "female", "male", "female", "male", "male", "female", "female", "male", "female", "female", "female", "male", "female", "male", "female", "female", "female", "female", "male", "male", "male", "male", "male", "female", "male", "female", "female", "male", "male", "male", "male", "male", "male", "male", "female", "female", "female", "male", "female", "male", "female", "female", "female", "male", "male", "male", "male", "male", "female", "male", "male", "male", "female", "male", "male", "female", "male", "male", "male", "male", "male", "female", "female", "male", "male", "male", "male", "female", "male", "male", "male", "male", "male", "female", "male", "male", "male", "female", "female", "female", "female", "male", "male", "male", "male", "male", "female", "male", "male", "male", "male", "male", "male", "male", "male", "male", "male", "male", "male", "male", "male", "male", "male", "male", "male", "male", "male", "male", "male", "female", "female", "male", "female", "male", "male", "male", "male", "male", "male", "male", "male", "male", "male", "male", "male", "male", "female", "female", "female"
#> $ link <chr> "/person/145", "/person/1567", "/person/1937", "/person/1944", "/person/1970", "/person/1971", "/person/1972", "/person/1974", "/person/1975", "/person/1977", "/person/1981", "/person/1986", "/person/1987", "/person/2001", "/person/2122", "/person/2136", "/person/2295", "/person/2309", "/person/2327", "/person/2330", "/person/2332", "/person/2334", "/person/2337", "/person/2339", "/person/2343", "/person/2344", "/person/2345", "/person/2834", "/person/2979", "/person/2996", "/person/2998", "/person/3133", "/person/3155", "/person/3489", "/person/3717", "/person/5065", "/person/5438", "/person/5439", "/person/5486", "/person/5623", "/person/5626", "/person/5627", "/person/5630", "/person/5632", "/person/5634", "/person/5639", "/person/5641", "/person/5643", "/person/5644", "/person/5645", "/person/5646", "/person/5647", "/person/5650", "/person/5653", "/person/5654", "/person/5670", "/person/5672", "/person/5676", "/person/5677", "/person/5678", "/person/5679", "/person/5681", "/person/5683", "/person/5684", "/person/5685", "/person/5687", "/person/6151", "/person/6407", "/person/6485", "/person/6486", "/person/6502", "/person/6506", "/person/8242", "/person/10778", "/person/12741", "/person/14769", "/person/14795", "/person/14835", "/person/14842", "/person/14896", "/person/16218", "/person/16234", "/person/20056", "/person/20445", "/person/22694", "/person/22847", "/person/23167", "/person/23963", "/person/25188", "/person/30645", "/person/30646", "/person/30647", "/person/30648", "/person/30649", "/person/30650", "/person/30653", "/person/30655", "/person/30656", "/person/30657", "/person/30658", "/person/30659", "/person/30660", "/person/30661", "/person/30662", "/person/30663", "/person/30664", "/person/30665", "/person/30666", "/person/30667", "/person/30668", "/person/30669", "/person/30670", "/person/30680", "/person/30681", "/person/30684", "/person/30685", "/person/30688", "/person/30689", "/person/30693", "/person/30694", "/person/30695", "/person/30696", "/person/30697", "/person/30698", "/person/30700", "/person/30701", "/person/30702", "/person/30704", "/person/30705", "/person/30706", "/person/30707", "/person/30708", "/person/30709", "/person/30717", "/person/30719", "/person/30720", "/person/30722", "/person/30723", "/person/30969", "/person/31991", "/person/35468", "/person/35469", "/person/35487", "/person/35497", "/person/35514", "/person/35520", "/person/35521", "/person/35568", "/person/36187", "/person/47187", "/person/51557", "/person/51568", "/person/51570", "/person/51571", "/person/51577", "/person/52727", "/person/55227", "/person/61639", "/person/64022", "/person/65219", "/person/67199", "/person/72999", "/person/78586", "/person/80479", "/person/83101", "/person/83113", "/person/83122", "/person/83124", "/person/83125", "/person/83127", "/person/83129", "/person/83137", "/person/83148", "/person/83150", "/person/83153", "/person/83299", "/person/83409", "/person/84056", "/person/86613", "/person/87001", "/person/87002", "/person/87039", "/person/91141"
#> $ mp_details <list> [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>], [<tbl_df[1 x 10]>]get_mps returns one row per MP and legislative period.
The list column mp_details contains details on an MPs
mandate during the relevant legislative period. Since such details can
change over the course of a legislative period (e.g. party affiliation,
electoral list of the mandate), unnesting mp_details may
result in more than one row per MP. The example below reveals the
changing
#get all MPs of the 22th legislative peiod
mps_legis22 <- get_mps(legis_period=22, institution="NR")
#> {"ATTR_JSON.mandate_detail.gremium_name":["Nationalrat"],"ATTR_JSON.mandate_detail.gp_text_full_short":["20.12.2002 - 29.10.2006: XXII. GP"]}
#> https://www.parlament.gv.at/recherchieren/personen/parlamentarierinnen-ab-1848/parlamentarierinnen-ab-1918?PERSON_409ATTR_JSON.mandate_detail.gremium_name=Nationalrat&PERSON_409ATTR_JSON.mandate_detail.gp_text_full_short=20.12.2002%20-%2029.10.2006:%20XXII.%20GP
#> [1] 209
#unnest details on their mandats
mps_legis22 <- mps_legis22 %>%
tidyr::unnest(mp_details)
#Example Scheibner during the 22th legislative period
mps_legis22 %>%
dplyr::filter(stringr::str_detect(name, "Scheibner"))
#> # A tibble: 2 × 15
#> # Groups: pad_intern [1]
#> pad_intern legis_period name gender link name_previous parl_group electoral_district_state electoral_district_region electoral_district_region_code chamber chamber_code party mandate_date_start mandate_date_end
#> <int> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <date> <date>
#> 1 1604 XXII Herbert Scheibner male /person/1604 NA Freiheitlicher Parlamentsklub - BZÖ Wien Wien E9 Nationalrat NR Freiheitliche Partei Österreichs 2006-04-28 2006-10-29
#> 2 1604 XXII Herbert Scheibner male /person/1604 NA Freiheitlicher Parlamentsklub Wien Wien E9 Nationalrat NR Freiheitliche Partei Österreichs 2002-12-20 2006-04-27Example Federal Council
#Search for all MPs who were members of the Federal Council during the 25th legislative period:
#An error is returned since legis_period is no applicable filter for institution="BR".
df_mps_25_br <- get_mps(legis_period=25, institution="BR")
#> Error in `get_mps()`:
#> ! Filtering the Federal Council (Bundesrat) by legislative period is not supported. Please use 'date' filter instead.
#Get start and ending date of legislative period 25 with an auxilary function.
get_legis_periods(legis_period=25)
#> legis_period_rom legis_period legis_period_current date_start date_end legis_period_name legis_period_abbrev legis_period_abbrev_num
#> 1 XXV 25 FALSE 2013-10-29 2017-11-08 29.10.2013 - 08.11.2017: XXV. GP XXV 25
#Get members of the Federal Council as of 30 September 2013.
df_mps_25_br_date <- get_mps(date="30.10.2013", institution="BR")
nrow(df_mps_25_br_date)
#> [1] 60Get mandates
get_mandates() returns all current and previous mandates
of one or more individuals. The function takes names as well as unique
identifiers (pad_intern) as inputs, with the latter being
the more specific option.
#Example with MP names:
result <- get_mandates(name = c(
"Karl Nehammer",
"Andreas Babler"
))
dplyr::glimpse(result)
#> Rows: 9
#> Columns: 16
#> $ pad_intern <chr> "2136", "2136", "2136", "2136", "23963", "23963", "23963", "23963", "23963"
#> $ name <chr> "Karl Nehammer, MSc", "Karl Nehammer, MSc", "Karl Nehammer, MSc", "Karl Nehammer, MSc", "Andreas Babler, MSc", "Andreas Babler, MSc", "Andreas Babler, MSc", "Andreas Babler, MSc", "Andreas Babler, MSc"
#> $ position_text <chr> "Abgeordneter zum Nationalrat (XXVIII. GP), ÖVP", "Abgeordneter zum Nationalrat (XXVI.-XXVII. GP), ÖVP", "Bundeskanzler", "Bundesminister für Inneres", "Abgeordneter zum Nationalrat (XXVIII. GP), SPÖ", "Mitglied des Bundesrates, SPÖ", "Bundesminister für Wohnen, Kunst, Kultur, Medien und Sport", "Bundesminister für Kunst, Kultur, öffentlichen Dienst und Sport", "Vizekanzler"
#> $ position_code <chr> "NR", "NR", "BK", "BM", "NR", "BR", "BM", "BM", "VK"
#> $ position_name <chr> "Abgeordneter zum Nationalrat", "Abgeordneter zum Nationalrat", "Bundeskanzler", "Bundesminister für Inneres", "Abgeordneter zum Nationalrat", "Mitglied des Bundesrates", "Bundesminister für Wohnen, Kunst, Kultur, Medien und Sport", "Bundesminister für Kunst, Kultur, öffentlichen Dienst und Sport", "Vizekanzler"
#> $ position_date_start <date> 2024-10-24, 2017-11-09, 2021-12-06, 2020-01-07, 2024-10-24, 2023-03-23, 2025-04-02, 2025-03-03, 2025-03-03
#> $ position_date_end <date> 2025-01-21, 2020-01-07, 2025-01-10, 2021-12-06, 2025-03-06, 2024-10-23, NA, 2025-04-02, NA
#> $ position_active <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE
#> $ parl_group <chr> "Parlamentsklub der Österreichischen Volkspartei", "Parlamentsklub der Österreichischen Volkspartei", NA, NA, "Die Sozialdemokratische Parlamentsfraktion - Klub der sozialdemokratischen Abgeordneten zum Nationalrat, Bundesrat und Europäischen Parlament", "Bundesratsfraktion der SPÖ", NA, NA, NA
#> $ wahlkreis <chr> "Bundeswahlvorschlag", "Bundeswahlvorschlag", NA, NA, "Bundeswahlvorschlag", "In den Bundesrat entsendet vom Niederösterreichischen Landtag", NA, NA, NA
#> $ party <chr> "ÖVP", "ÖVP", NA, NA, "SPÖ", "SPÖ", NA, NA, NA
#> $ party_name <chr> "Österreichische Volkspartei", "Österreichische Volkspartei", NA, NA, "Sozialdemokratische Partei Österreichs", "Sozialdemokratische Partei Österreichs", NA, NA, NA
#> $ electoral_district_region_code <chr> "FB", "FB", NA, NA, "FB", "In", NA, NA, NA
#> $ electoral_district_region <chr> "Bundeswahlvorschlag", "Bundeswahlvorschlag", NA, NA, "Bundeswahlvorschlag", "In den Bundesrat entsendet vom Niederösterreichischen Landtag", NA, NA, NA
#> $ legis_period <list> "XXVIII", <"XXVI", "XXVII">, <>, <>, "XXVIII", <>, <>, <>, <>
#> $ url_biography <chr> "https://www.parlament.gv.at/person/2136", "https://www.parlament.gv.at/person/2136", "https://www.parlament.gv.at/person/2136", "https://www.parlament.gv.at/person/2136", "https://www.parlament.gv.at/person/23963", "https://www.parlament.gv.at/person/23963", "https://www.parlament.gv.at/person/23963", "https://www.parlament.gv.at/person/23963", "https://www.parlament.gv.at/person/23963"
#Example with pad_intern and auxiliary function `get_pad_intern`.
result <- get_pad_intern("Peter Pilz")
dplyr::glimpse(result)
#> Rows: 1
#> Columns: 2
#> $ pad_intern <chr> "1210"
#> $ names_variants <chr> "Peter Pilz"
result <- get_mandates(pad_intern=1210)
dplyr::glimpse(result)
#> Rows: 5
#> Columns: 16
#> $ pad_intern <dbl> 1210, 1210, 1210, 1210, 1210
#> $ name <chr> "Dr. Peter Pilz", "Dr. Peter Pilz", "Dr. Peter Pilz", "Dr. Peter Pilz", "Dr. Peter Pilz"
#> $ position_text <chr> "Abgeordneter zum Nationalrat (XXVI. GP), JETZT", "Abgeordneter zum Nationalrat (XXVI. GP), PILZ", "Abgeordneter zum Nationalrat (XXV. GP), ohne Klubzugehörigkeit", "Abgeordneter zum Nationalrat (XXI.-XXV. GP), GRÜNE", "Abgeordneter zum Nationalrat (XVII.-XVIII. GP), GRÜNE"
#> $ position_code <chr> "NR", "NR", "NR", "NR", "NR"
#> $ position_name <chr> "Abgeordneter zum Nationalrat", "Abgeordneter zum Nationalrat", "Abgeordneter zum Nationalrat", "Abgeordneter zum Nationalrat", "Abgeordneter zum Nationalrat"
#> $ position_date_start <date> 2018-11-20, 2018-06-08, 2017-07-17, 1999-10-29, 1986-12-17
#> $ position_date_end <date> 2019-10-22, 2018-11-19, 2017-11-08, 2017-07-16, 1991-12-08
#> $ position_active <lgl> FALSE, FALSE, FALSE, FALSE, FALSE
#> $ parl_group <chr> "Parlamentsklub JETZT", "Liste Pilz", "ohne Klubzugehörigkeit", "Der Grüne Klub im Parlament - Klub der Grünen Abgeordneten zum Nationalrat, Bundesrat und Europäischen Parlament", "Der Grüne Klub - Klub der Grün-Alternativen Abgeordneten"
#> $ wahlkreis <chr> "Bundeswahlvorschlag", "Bundeswahlvorschlag", "Bundeswahlvorschlag", "Bundeswahlvorschlag", "Wahlkreisverband II (K, OÖ, S, St, T u V)"
#> $ party <chr> "JETZT", "PILZ", "OK", "GRÜNE", "GRÜNE"
#> $ party_name <chr> "Liste Peter Pilz", "Liste Peter Pilz", "Die Grünen", "Die Grünen", "Die Grünen"
#> $ electoral_district_region_code <chr> "FB", "FB", "FB", "FB", "Wahlkreisverband"
#> $ electoral_district_region <chr> "Bundeswahlvorschlag", "Bundeswahlvorschlag", "Bundeswahlvorschlag", "Bundeswahlvorschlag", "Wahlkreisverband II (K, OÖ, S, St, T u V)"
#> $ legis_period <list> "XXVI", "XXVI", "XXV", <"XXI", "XXV">, <"XVII", "XVIII">
#> $ url_biography <chr> "https://www.parlament.gv.at/person/1210", "https://www.parlament.gv.at/person/1210", "https://www.parlament.gv.at/person/1210", "https://www.parlament.gv.at/person/1210", "https://www.parlament.gv.at/person/1210"The function get_mandates also allows us to relatively
easily calcualte the total number of days which the current MPs in the
National Council have been serving as of now, and identify the longest
serving MPs (top 5 are shown below).
df_mandates <- get_mandates(pad_intern=df_current$pad_intern, institution = "NR")
#> ⠙ Fetching mandates 3/183 | ETA: 2m
#> ⠹ Fetching mandates 6/183 | ETA: 2m
#> ⠸ Fetching mandates 10/183 | ETA: 2m
#> ⠼ Fetching mandates 14/183 | ETA: 2m
#> ⠴ Fetching mandates 17/183 | ETA: 2m
#> ⠦ Fetching mandates 21/183 | ETA: 2m
#> ⠧ Fetching mandates 26/183 | ETA: 2m
#> ⠇ Fetching mandates 29/183 | ETA: 2m
#> ⠏ Fetching mandates 33/183 | ETA: 2m
#> ⠋ Fetching mandates 37/183 | ETA: 2m
#> ⠙ Fetching mandates 41/183 | ETA: 2m
#> ⠹ Fetching mandates 45/183 | ETA: 2m
#> ⠸ Fetching mandates 49/183 | ETA: 2m
#> ⠼ Fetching mandates 52/183 | ETA: 2m
#> ⠴ Fetching mandates 56/183 | ETA: 2m
#> ⠦ Fetching mandates 61/183 | ETA: 2m
#> ⠧ Fetching mandates 64/183 | ETA: 1m
#> ⠇ Fetching mandates 68/183 | ETA: 1m
#> ⠏ Fetching mandates 72/183 | ETA: 1m
#> ⠋ Fetching mandates 76/183 | ETA: 1m
#> ⠙ Fetching mandates 80/183 | ETA: 1m
#> ⠹ Fetching mandates 84/183 | ETA: 1m
#> ⠸ Fetching mandates 88/183 | ETA: 1m
#> ⠼ Fetching mandates 92/183 | ETA: 1m
#> ⠴ Fetching mandates 96/183 | ETA: 1m
#> ⠦ Fetching mandates 100/183 | ETA: 1m
#> ⠧ Fetching mandates 103/183 | ETA: 1m
#> ⠇ Fetching mandates 107/183 | ETA: 1m
#> ⠏ Fetching mandates 111/183 | ETA: 1m
#> ⠋ Fetching mandates 115/183 | ETA: 1m
#> ⠙ Fetching mandates 119/183 | ETA: 49s
#> ⠹ Fetching mandates 123/183 | ETA: 46s
#> ⠸ Fetching mandates 127/183 | ETA: 43s
#> ⠼ Fetching mandates 131/183 | ETA: 40s
#> ⠴ Fetching mandates 135/183 | ETA: 37s
#> ⠦ Fetching mandates 138/183 | ETA: 34s
#> ⠧ Fetching mandates 143/183 | ETA: 30s
#> ⠇ Fetching mandates 146/183 | ETA: 28s
#> ⠏ Fetching mandates 151/183 | ETA: 24s
#> ⠋ Fetching mandates 155/183 | ETA: 21s
#> ⠙ Fetching mandates 158/183 | ETA: 19s
#> ⠹ Fetching mandates 162/183 | ETA: 16s
#> ⠸ Fetching mandates 166/183 | ETA: 13s
#> ⠼ Fetching mandates 170/183 | ETA: 10s
#> ⠴ Fetching mandates 174/183 | ETA: 7s
#> ⠦ Fetching mandates 178/183 | ETA: 4s
#> ⠧ Fetching mandates 181/183 | ETA: 2s
#> Fetched mandates for 183 persons.
#>
#keep only MP mandates in the National Council (NR); `instituiton` refers only to the
#current position, not the preceding mandates.
df_mandates <- df_mandates %>%
filter(position_code == "NR")
df_mandates <- df_mandates %>%
mutate(position_date_end=case_when(
is.na(position_date_end) & position_active==TRUE ~ lubridate::today(),
.default=position_date_end
)) %>%
mutate(position_duration_days = as.numeric(difftime(position_date_end, position_date_start, units = "days")),
.after=position_date_end)
duration <- df_mandates %>%
summarise(position_days_sum=sum(position_duration_days), .by=c("pad_intern", "name")) %>%
arrange(desc(position_days_sum))
duration %>%
slice_head(., n=5)
#> # A tibble: 5 × 3
#> pad_intern name position_days_sum
#> <chr> <chr> <dbl>
#> 1 145 Doris Bures 10338
#> 2 12741 Peter Haubner 8879
#> 3 2834 Mag. Dr. Martin Graf 8578
#> 4 14835 Petra Bayr, MA MLS 8497
#> 5 14795 August Wöginger 8497Get MPs’ details
If we are interested in the work of a specific MP, the fucntion
get_mps_details() is the tool of choice. There are three
detail types which can be quried: “plenary” (Plenum), “committee”
(Ausschüsse), and “activities” (Aktivitäten).
For a start, let’s get a list of all speeches held in the plenary by MP Karlheinz Kopf. To get his required pad_intern, we can resort to the auxilary function ‘get_pad_intern()’ which returns the MP’s unique identifier.
#get pad_intern of Karlheinz Kopf
get_pad_intern("Karlheinz Kopf")
#> # A tibble: 1 × 2
#> pad_intern names_variants
#> <chr> <chr>
#> 1 2822 Karlheinz Kopf
#get all statements held in the plenary of the National Council by Karlheinz Kopf
df_plenary_kopf <- get_mps_details(pad_intern=2822, detail_type="plenary", institution = "NR")
#> {"PAD_INTERN":[2822],"GREMIUM":["N"]}
#> https://www.parlament.gv.at/person/2822?BIO_250PAD_INTERN=2822&BIO_250GREMIUM=N&selectedtab=PLENUM
#> [1] 380
df_plenary_kopf %>%
count(legis_period) %>%
arrange(legis_period)
#> # A tibble: 9 × 2
#> legis_period n
#> <chr> <int>
#> 1 XIX 1
#> 2 XX 62
#> 3 XXI 44
#> 4 XXII 56
#> 5 XXIII 26
#> 6 XXIV 105
#> 7 XXV 4
#> 8 XXVI 18
#> 9 XXVII 64Note that get_mps_details returns all activites,
speeches even if the individual was member of the government bench or
member of the houses presidency at this point in time. The column
position_name is a list column containing all mandates the
indiviudal held in the relevant house at the time of the
plenary statement.
#Example Sebastian Kurz: statements held by Sebastian Kurz in the plenary of the National Council.
#Note different positions.
get_pad_intern("Sebastian Kurz")
#> # A tibble: 1 × 2
#> pad_intern names_variants
#> <chr> <chr>
#> 1 65321 Sebastian Kurz
df_plenary_kurz <- get_mps_details(pad_intern=65321, detail_type="plenary", institution = "NR")
#> {"PAD_INTERN":[65321],"GREMIUM":["N"]}
#> https://www.parlament.gv.at/person/65321?BIO_250PAD_INTERN=65321&BIO_250GREMIUM=N&selectedtab=PLENUM
#> [1] 76
df_plenary_kurz %>%
unnest(position_name) %>%
count(position_name, sort=TRUE)
#> # A tibble: 5 × 2
#> position_name n
#> <chr> <int>
#> 1 Bundeskanzler 41
#> 2 Bundesminister für Europa, Integration und Äußeres 25
#> 3 Staatssekretär im Bundesministerium für Inneres 6
#> 4 Abgeordneter zum Nationalrat 5
#> 5 Bundesminister für europäische und internationale Angelegenheiten 1Items under consideration (‘Verhandlungsgegenstände’)
The ability to search for different items under consideration is
probably one of the most encompassing features offered by the Open Data
repository of the Austrian Parliament (see
here).
The items which can be queried comprise a wide range including Topical
Debates (Aktuelle Stunden), Inquiries (Anfragen),
Government Bills (Regierungsvorlagen) etc. All items can be
accessed via the general get_items() function. For a full
list of available items see here.
For some of these items, additional parameter(s) are available to
further specifiy the query. E.g. the item “ANTR” (Anträge, Motions)
allows for the specification of the type of motion via the
type_doc attribute. For details see the reference section
here.
Example: Inquiries (Anfragen)
Below, as an example, let’s query all written and oral questions (Anfragen) from the 20 to the 27 legislative period (for the relevant item abbreviations see the function reference), and subsequently visualise the count by party and legislative period.
#get items
df_items <- get_items(item = "J_JPR_M", legis_period = seq(20,27), echo=TRUE)
#> ℹ Fetching items from API...
#> ✔ Fetched 77208 items
#> {"GP_CODE":["XX","XXI","XXII","XXIII","XXIV","XXV","XXVI","XXVII"],"VHG":["J_JPR_M"]}
#> https://www.parlament.gv.at/recherchieren/gegenstaende/index.html?FP_001GP_CODE=XX&FP_001GP_CODE=XXI&FP_001GP_CODE=XXII&FP_001GP_CODE=XXIII&FP_001GP_CODE=XXIV&FP_001GP_CODE=XXV&FP_001GP_CODE=XXVI&FP_001GP_CODE=XXVII&FP_001VHG=J_JPR_M
#> [1] 77208
dplyr::glimpse(df_items %>% head())
#> Rows: 6
#> Columns: 16
#> $ legis_period <chr> "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII"
#> $ institution <chr> "NR", "NR", "NR", "NR", "NR", "NR"
#> $ date <date> 2024-10-14, 2024-10-14, 2024-10-14, 2024-10-08, 2024-10-03, 2024-10-01
#> $ item_type <chr> "J", "J", "J", "J", "J", "JPR"
#> $ item_number <chr> "19510", "19509", "19508", "19507", "19506", "101"
#> $ item_number_type <chr> "19510/J", "19509/J", "19508/J", "19507/J", "19506/J", "101/JPR"
#> $ stage <chr> "3", "3", "3", "3", "5", "5"
#> $ item_url <chr> "/gegenstand/XXVII/J/19510", "/gegenstand/XXVII/J/19509", "/gegenstand/XXVII/J/19508", "/gegenstand/XXVII/J/19507", "/gegenstand/XXVII/J/19506", "/gegenstand/XXVII/JPR/101"
#> $ type_doc <chr> "J", "J", "J", "J", "J", "JPR"
#> $ type_doc_long <chr> "Schriftliche Anfrage", "Schriftliche Anfrage", "Schriftliche Anfrage", "Schriftliche Anfrage", "Schriftliche Anfrage", "Schriftliche Anfrage an Präsidentin/Präsident/Ausschussvorsitzende"
#> $ subject <chr> "Steckt ukrainischer Verein hinter organisierter Beschädigung von FPÖ-Plakaten? - Frist für die Beantwortung 14.12.2024", "Linksextreme Chaoten attackieren FPÖ-Wahlfeier - Frist für die Beantwortung 14.12.2024", "Verbot des sportlichen Long-Range-Schießens für den Heeressportverein - Frist für die Beantwortung 14.12.2024", "Botschafter Michael Linhart als ÖVP-Wahlkampfhelfer bei der Vorarlberger Landtagswahl - Frist für die Beantwortung 08.12.2024", "Zustände in der Justizanstalt Salzburg - beantwortet durch 18818/AB", "Willkürlicher Ausschluss von Journalisten von der Wahlberichterstattung aus dem Parlament - beantwortet durch 100/ABPR"
#> $ topics <list> <"Inneres und Recht", "Parlament und Demokratie", "Soziales">, <"Inneres und Recht", "Parlament und Demokratie", "Soziales">, <"Inneres und Recht", "Landesverteidigung", "Soziales", "Sport">, <"Außenpolitik", "Inneres und Recht", "Parlament und Demokratie">, "Inneres und Recht", <"Information und Medien", "Parlament und Demokratie">
#> $ keywords <list> <"Vereins- und Versammlungsrecht", "Politische Parteien", "Wahlen">, <"Sicherheitswesen", "Abgeordnete", "Nationalrat V. Sonstiges", "Öffentlicher Dienst", "Vereins- und Versammlungsrecht">, <"Vereins- und Versammlungsrecht", "Landesverteidigung", "Sport">, <"Wahlen", "Bundesländer", "Völkerrechtliche Vertretungen">, <"Strafrecht", "Öffentlicher Dienst">, <"Wahlen", "Nationalrat V. Sonstiges", "Presse">
#> $ eurovoc <list> <"Politische Partei", "Vereinsleben", "Versammlungsfreiheit", "Wahl">, <"direkt gewählte Kammer", "öffentliche Sicherheit", "öffentliche Verwaltung", "öffentlicher Dienst", "Parlamentarier", "Vereinsleben", "Versammlungsfreiheit">, <"Sport", "Vereinsleben", "Versammlungsfreiheit", "Verteidigung">, <"diplomatische Beziehungen", "Gliedstaat", "Wahl">, <"öffentliche Verwaltung", "öffentlicher Dienst", "Strafrecht">, <"direkt gewählte Kammer", "Presse", "Wahl">
#> $ persons <list> <"20445", "78586">, <"20445", "78586">, <"3717", "6485">, <"5430", "5678">, <"2345", "3717">, <"78586", "88386">
#> $ parl_group <list> "FPÖ", "FPÖ", "FPÖ", "GRÜNE", "FPÖ", "FPÖ"There were in total 77 208 questions submitted in writing and asked orally by the members of the National Council from the 20th to 27th legislative period. With a few additional steps, we can easily visualise the results.
# Create color mapping for Austrian political parties
party_colors <- c(
"SPÖ" = "#CE000C",
"ÖVP" = "#63C3D0",
"FPÖ" = "#0056A2",
"F" = "#0056A2",
"F-BZÖ" = "#0056A2",
"GRÜNE" = "#88B626",
"NEOS" = "#E3257B",
"NEOS/NEOS-LIF" = "#E3257B",
"Grüne" = "#88B626",
"STRONACH" = "#F47100",
"BZÖ" = "#F47100",
"LIF" = "#FFD200",
"L" = "#FFD200",
"FRANK" = "#800080",
"JETZT/PILZ"="lightgrey",
"OK" ="grey"
)
#aggregate result; account for chaning ÖVP party colors
df_plot <- df_items %>%
unnest_longer(parl_group) %>%
count(legis_period, parl_group) %>%
mutate(
parl_group_color = case_when(
parl_group == "ÖVP" & as.numeric(legis_period) < 26 ~ "black",
parl_group == "ÖVP" & as.numeric(legis_period) >= 26 ~ "#63C3D0",
TRUE ~ party_colors[parl_group]
)
)
#> Warning: There were 2 warnings in `mutate()`.
#> The first warning was:
#> ℹ In argument: `parl_group_color = case_when(...)`.
#> Caused by warning:
#> ! NAs introduced by coercion
#> ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning.
#plot
df_plot %>%
ggplot()+
labs(
title = stringr::str_to_title("Austrian National Council: Number of questions submitted by party ('Anfragen')"),
subtitle = "Questions submitted from the 20th to 27th legislative period. Questions submitted by multiple parties are counted for each party.",
caption = "Data: https://www.parlament.gv.at/recherchieren/open-data; retrieved via {ParlAT} package."
)+
geom_bar(aes(x=tidytext::reorder_within(parl_group, -n, legis_period), y=n, fill=parl_group_color), stat="identity")+
scale_x_reordered(guide = guide_axis(n.dodge = 2), continuous.limits=c(1,7))+
scale_y_continuous(labels=scales::label_number(big.mark = ".", decimal.mark = ","))+
scale_fill_identity()+
facet_wrap(vars(legis_period), scales = "free_x", labeller = labeller(legis_period = function(x) ifelse(x == min(x), paste("Legislative Period", x), x)))+
theme_minimal()+
theme(
strip.text.x= element_text(face = "plain", hjust = 0,color="grey30"),
panel.grid.minor = element_blank(),
panel.grid.major.x= element_blank(),
legend.position = "none",
axis.title.x = element_blank(),
axis.text.x=element_text(size=rel(0.8)),
axis.text.y=element_text(size=rel(0.8)),
axis.title.y=element_blank(),
plot.caption = element_text(color="grey30", size=rel(.8)),
plot.subtitle=ggtext::element_textbox_simple(color="grey30", margin = ggplot2::margin(b = 10)),
plot.title.position = "plot",
plot.title = element_text(face = "bold")
)
Example: Government Bills (“Regierungsvorlagen”)
As another example to demonstrate the power of the
get_items() function, let’s get the number of government
bills tabled from the 20th to the 27th legislative period and count
them. Furthermore, making use of the topic column, which is
returned by the API, one can easily differentiate between the bills’
various topical foci and obtain the pertaining subtotals.
df_govBills <- get_items(item = "RV", legis_period = seq(20,27))
#> ℹ Fetching items from API...
#> ✔ Fetched 2593 items
#> {"GP_CODE":["XX","XXI","XXII","XXIII","XXIV","XXV","XXVI","XXVII"],"VHG":["RV"]}
#> https://www.parlament.gv.at/recherchieren/gegenstaende/index.html?FP_001GP_CODE=XX&FP_001GP_CODE=XXI&FP_001GP_CODE=XXII&FP_001GP_CODE=XXIII&FP_001GP_CODE=XXIV&FP_001GP_CODE=XXV&FP_001GP_CODE=XXVI&FP_001GP_CODE=XXVII&FP_001VHG=RV
#> [1] 2593
glimpse(df_govBills %>% head())
#> Rows: 6
#> Columns: 16
#> $ legis_period <chr> "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII"
#> $ institution <chr> "NR", "NR", "NR", "NR", "NR", "NR"
#> $ date <date> 2024-07-05, 2024-06-12, 2024-06-12, 2024-06-12, 2024-06-12, 2024-06-12
#> $ item_type <chr> "I", "I", "I", "I", "I", "I"
#> $ item_number <chr> "2704", "2604", "2608", "2609", "2600", "2603"
#> $ item_number_type <chr> "2704 d.B.", "2604 d.B.", "2608 d.B.", "2609 d.B.", "2600 d.B.", "2603 d.B."
#> $ stage <chr> "2", "5", "5", "5", "5", "5"
#> $ item_url <chr> "/gegenstand/XXVII/I/2704", "/gegenstand/XXVII/I/2604", "/gegenstand/XXVII/I/2608", "/gegenstand/XXVII/I/2609", "/gegenstand/XXVII/I/2600", "/gegenstand/XXVII/I/2603"
#> $ type_doc <chr> "RV", "RV", "RV", "RV", "RV", "RV"
#> $ type_doc_long <chr> "Regierungsvorlage: Bundes(verfassungs)gesetz", "Regierungsvorlage: Bundes(verfassungs)gesetz", "Regierungsvorlage: Bundes(verfassungs)gesetz", "Regierungsvorlage: Bundes(verfassungs)gesetz", "Regierungsvorlage: Bundes(verfassungs)gesetz", "Regierungsvorlage: Bundes(verfassungs)gesetz"
#> $ subject <chr> "Bundeshaushaltsgesetzes 2013, Änderung", "Katastrophenfondsgesetz, Änderung", "Erneuerbaren-Ausbau-Gesetz, Änderung", "Zivildienstgesetz, Änderung", "IFI Beitragsgesetz 2024", "Eisenbahngesetz, Änderung"
#> $ topics <list> "Budget und Finanzen", <"Budget und Finanzen", "Inneres und Recht">, <"Inneres und Recht", "Klima", "Umwelt und Energie">, "Landesverteidigung", "Budget und Finanzen", "Verkehr und Infrastruktur"
#> $ keywords <list> "Bundeshaushalt III. Sonstiges", <"Bundeshaushalt III. Sonstiges", "Zivilschutz">, <"Bundesverfassung", "Elektrizität", "Umweltschutz">, "Zivildienst", "Kreditwesen", "Verkehr II. Schienenverkehr"
#> $ eurovoc <list> "Öffentliche Finanzen und Haushaltspolitik", <"Öffentliche Finanzen und Haushaltspolitik", "Zivilschutz">, <"Elektrizitätsindustrie", "Umwelt", "Verfassung">, "Zivildienst", "Finanzwesen", "Schienentransport"
#> $ persons <list> "55727", "55727", "5653", "2136", "55727", "5653"
#> $ parl_group <list> <"null", "null">, <"null", "null">, <"null", "null">, <"null", "null">, <"null", "null">, <"null", "null">
#count number of bills by legis period
df_govBills %>%
count(legis_period, name = "n")
#> legis_period n
#> 1 XX 443
#> 2 XXI 291
#> 3 XXII 374
#> 4 XXIII 176
#> 5 XXIV 496
#> 6 XXV 331
#> 7 XXVI 117
#> 8 XXVII 365
df_govBillsTopicsTop5 <- df_govBills %>%
unnest_longer(topics) %>%
group_by(legis_period) %>%
mutate(topics=forcats::fct_lump_n(topics, n = 5, ties.method = "first")) %>%
ungroup() %>%
count(legis_period, topics)
df_govBillsTopicsTop5 %>%
filter(topics!="Other") %>%
ggplot()+
labs(
title="Austrian Parliament: Number of tabled government bills by topic",
subtitle="Top-5 topics per frequency and legilslative period. 20th to 27th legislative period. A bill with multiple topics is counted in \neach topic category.",
caption = "Data: https://www.parlament.gv.at/recherchieren/open-data; retrieved via ParlAT package."
)+
geom_bar(
aes(y=tidytext::reorder_within(topics, n, legis_period),
x=n,
fill=topics),
stat="identity")+
scale_y_reordered()+
scale_x_continuous(
expand=expansion(mult=c(0,.1))
)+
scale_fill_viridis_d()+
facet_wrap(
vars(legis_period),
labeller = labeller(legis_period = function(value) ifelse(value == min(value), paste("GP", value), value)),
scales="free_y")+
theme_minimal()+
theme(
strip.text.x= element_text(face = "plain", hjust = 0, color="grey30"),
panel.grid.minor = element_blank(),
panel.grid.major.y= element_blank(),
legend.position = "none",
axis.title.x = element_blank(),
axis.text.x=element_text(size=rel(0.8)),
axis.text.y=element_text(size=rel(0.8)),
axis.title.y=element_blank(),
plot.caption = element_text(color="grey30"),
plot.subtitle=ggtext::element_textbox_simple(color="grey30", margin = ggplot2::margin(b = 15)),
plot.title.position = "plot",
plot.title = element_text(face = "bold")
)
Example: Popular Initiatives (“Volksbegehren”)
Get the number of popular initiatives (“Volksbegehren”) which were considered - in different stages - by the Austrian National Counil from the 20th to the 27th legislative period and count them per legislative period.
df_petition <- get_items(item = "VOLKBG", legis_period = seq(20, 27), institution = "NR", echo = TRUE)
#> ℹ Fetching items from API...
#> ✔ Fetched 65 items
#> {"NRBR":["NR"],"GP_CODE":["XX","XXI","XXII","XXIII","XXIV","XXV","XXVI","XXVII"],"VHG":["VOLKBG"]}
#> https://www.parlament.gv.at/recherchieren/gegenstaende/index.html?FP_001NRBR=NR&FP_001GP_CODE=XX&FP_001GP_CODE=XXI&FP_001GP_CODE=XXII&FP_001GP_CODE=XXIII&FP_001GP_CODE=XXIV&FP_001GP_CODE=XXV&FP_001GP_CODE=XXVI&FP_001GP_CODE=XXVII&FP_001VHG=VOLKBG
#> [1] 65
df_petition %>% count(legis_period)
#> legis_period n
#> 1 XX 6
#> 2 XXI 6
#> 3 XXII 3
#> 4 XXIV 2
#> 5 XXV 2
#> 6 XXVI 3
#> 7 XXVII 43Get data on Plenary Meetings
What to know how often the National Council had plenary meetings? The
function get_plenary_meetings returns this and releated
meta data starting from the 20th legislative period.
df_meetings_20_27 <- get_plenary_meetings(institution = "NR", legis_period = seq(20,27), meeting_and_activities = "meetings", echo=TRUE)
#> Request body: {"GREMIUM":["NR"],"GP_CODE":["XX","XXI","XXII","XXIII","XXIV","XXV","XXVI","XXVII"],"SIAKT":["SI"]}
#> Equivalent URL: https://www.parlament.gv.at/recherchieren/plenarsitzungen/?PLENAR_701GREMIUM=NR&PLENAR_701SIAKT=SI&PLENAR_701GP_CODE=XX&PLENAR_701GP_CODE=XXI&PLENAR_701GP_CODE=XXII&PLENAR_701GP_CODE=XXIII&PLENAR_701GP_CODE=XXIV&PLENAR_701GP_CODE=XXV&PLENAR_701GP_CODE=XXVI&PLENAR_701GP_CODE=XXVII
#> Fetching 27 pages...
#> Hits: 1327
df_meetings_20_27 %>%
count(legis_period) %>%
mutate(legis_period=as.integer(legis_period)) %>%
ggplot() +
labs(
title="Number of plenary meetings of the National Council",
subtitle="20th to 27th legislative period.",
caption = "Data: https://www.parlament.gv.at/recherchieren/open-data; retrieved via {ParlAT} package."
)+
geom_bar(aes(x=legis_period, y=n), stat="identity", fill="#132943")+
scale_y_continuous(expand = expansion(mult = c(0, 0)))+
scale_x_continuous(
breaks = 20:27,
labels = function(x) as.character(as.roman(x))
)+
theme_minimal()+
theme(
strip.text.x= element_text(face = "plain", hjust = 0,color="grey30"),
panel.grid.minor = element_blank(),
panel.grid.major.x= element_blank(),
legend.position = "none",
axis.title.x = element_blank(),
axis.text.x=element_text(size=rel(0.8)),
axis.text.y=element_text(size=rel(0.8)),
axis.title.y=element_blank(),
plot.caption = element_text(color="grey30", size=rel(.8)),
plot.subtitle=ggtext::element_textbox_simple(color="grey30", margin = ggplot2::margin(b = 10)),
plot.title.position = "plot",
plot.title = element_text(face = "bold")
)
Get data on committees
Which committees of the National Council were active during the 27th legisative period:
committesNR27 <- get_committees(legis_period=27, institution="NR")
dplyr::glimpse(committesNR27)
#> Rows: 43
#> Columns: 5
#> $ legis_period <chr> "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII"
#> $ committee <chr> "Ausschuss für Arbeit und Soziales", "Außenpolitischer Ausschuss", "Ausschuss für Bauten und Wohnen", "Budgetausschuss", "Ständiger Unterausschuss des Budgetausschusses", "Ständiger Unterausschuss in ESM-Angelegenheiten", "Ausschuss für Familie und Jugend", "Finanzausschuss", "Ausschuss für Forschung, Innovation und Digitalisierung", "Geschäftsordnungsausschuss", "Gesundheitsausschuss", "Gleichbehandlungsausschuss", "Hauptausschuss", "Ständiger Unterausschuss des Hauptausschusses", "Ständiger Unterausschuss in Angelegenheiten der Europäischen Union", "Immunitätsausschuss", "Ausschuss für innere Angelegenheiten", "Ständiger Unterausschuss des Ausschusses für innere Angelegenheiten", "Justizausschuss", "Ausschuss für Konsumentenschutz", "Kulturausschuss", "Landesverteidigungsausschuss", "Ständiger Unterausschuss des Landesverteidigungsausschusses", "Ausschuss für Land- und Forstwirtschaft", "Ausschuss für Menschenrechte", "Ausschuss für Petitionen und Bürgerinitiativen", "Rechnungshofausschuss", "Ständiger Unterausschuss des Rechnungshofausschusses", "Sportausschuss", "Tourismusausschuss", "Umweltausschuss", "Unterrichtsausschuss", "Unvereinbarkeitsausschuss", "Verfassungsausschuss", "Verkehrsausschuss", "Volksanwaltschaftsausschuss", "Ausschuss für Wirtschaft, Industrie und Energie", "Wissenschaftsausschuss", "Ständiger gemeinsamer Ausschuss im Sinne des § 9 des Finanz-Verfassungsgesetzes 1948", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "\"ROT-BLAUER Machtmissbrauch-Untersuchungsausschuss\" eingesetzt am 15.12.2023 - beendet am 03.07.2024", "COFAG-Untersuchungsausschuss eingesetzt am 15.12.2023 - beendet am 03.07.2024", "ÖVP-Korruptions-Untersuchungsausschuss eingesetzt am 09.12.2021 - beendet am 27.04.2023"
#> $ citation <chr> "A-AS/1", "A-AU/1", "A-BA/1", "A-BU/1", "SA-BU/1", "SA-ESM/1", "A-FA/1", "A-FI/1", "A-FO/1", "A-GO/1", "A-GE/1", "A-GL/1", "A-HA/1", "SA-HA/1", "SA-EU/1", "A-IM/1", "A-IA/1", "SA-IA/1", "A-JU/1", "A-KO/1", "A-KU/1", "A-LV/1", "SA-LV/1", "A-LF/1", "A-ME/1", "A-PB/1", "A-RH/1", "SA-RH/1", "A-SP/1", "A-TO/1", "A-UM/1", "A-UN/1", "A-UV/1", "A-VF/1", "A-VE/1", "A-VO/1", "A-WH/1", "A-WI/1", "SA-P9/1", "A-USA/2", "A-USA/5", "A-USA/4", "A-USA/3"
#> $ id_number <int> 883, 884, 885, 867, 874, 875, 886, 887, 888, 873, 889, 890, 868, 869, 870, 872, 877, 878, 891, 892, 882, 879, 880, 893, 894, 895, 881, 905, 896, 897, 898, 899, 871, 900, 901, 902, 903, 904, 876, 906, 906, 906, 906
#> $ url_committee <chr> "https://www.parlament.gv.at/ausschuss/XXVII/A-AS/1/00883", "https://www.parlament.gv.at/ausschuss/XXVII/A-AU/1/00884", "https://www.parlament.gv.at/ausschuss/XXVII/A-BA/1/00885", "https://www.parlament.gv.at/ausschuss/XXVII/A-BU/1/00867", "https://www.parlament.gv.at/ausschuss/XXVII/SA-BU/1/00874", "https://www.parlament.gv.at/ausschuss/XXVII/SA-ESM/1/00875", "https://www.parlament.gv.at/ausschuss/XXVII/A-FA/1/00886", "https://www.parlament.gv.at/ausschuss/XXVII/A-FI/1/00887", "https://www.parlament.gv.at/ausschuss/XXVII/A-FO/1/00888", "https://www.parlament.gv.at/ausschuss/XXVII/A-GO/1/00873", "https://www.parlament.gv.at/ausschuss/XXVII/A-GE/1/00889", "https://www.parlament.gv.at/ausschuss/XXVII/A-GL/1/00890", "https://www.parlament.gv.at/ausschuss/XXVII/A-HA/1/00868", "https://www.parlament.gv.at/ausschuss/XXVII/SA-HA/1/00869", "https://www.parlament.gv.at/ausschuss/XXVII/SA-EU/1/00870", "https://www.parlament.gv.at/ausschuss/XXVII/A-IM/1/00872", "https://www.parlament.gv.at/ausschuss/XXVII/A-IA/1/00877", "https://www.parlament.gv.at/ausschuss/XXVII/SA-IA/1/00878", "https://www.parlament.gv.at/ausschuss/XXVII/A-JU/1/00891", "https://www.parlament.gv.at/ausschuss/XXVII/A-KO/1/00892", "https://www.parlament.gv.at/ausschuss/XXVII/A-KU/1/00882", "https://www.parlament.gv.at/ausschuss/XXVII/A-LV/1/00879", "https://www.parlament.gv.at/ausschuss/XXVII/SA-LV/1/00880", "https://www.parlament.gv.at/ausschuss/XXVII/A-LF/1/00893", "https://www.parlament.gv.at/ausschuss/XXVII/A-ME/1/00894", "https://www.parlament.gv.at/ausschuss/XXVII/A-PB/1/00895", "https://www.parlament.gv.at/ausschuss/XXVII/A-RH/1/00881", "https://www.parlament.gv.at/ausschuss/XXVII/SA-RH/1/00905", "https://www.parlament.gv.at/ausschuss/XXVII/A-SP/1/00896", "https://www.parlament.gv.at/ausschuss/XXVII/A-TO/1/00897", "https://www.parlament.gv.at/ausschuss/XXVII/A-UM/1/00898", "https://www.parlament.gv.at/ausschuss/XXVII/A-UN/1/00899", "https://www.parlament.gv.at/ausschuss/XXVII/A-UV/1/00871", "https://www.parlament.gv.at/ausschuss/XXVII/A-VF/1/00900", "https://www.parlament.gv.at/ausschuss/XXVII/A-VE/1/00901", "https://www.parlament.gv.at/ausschuss/XXVII/A-VO/1/00902", "https://www.parlament.gv.at/ausschuss/XXVII/A-WH/1/00903", "https://www.parlament.gv.at/ausschuss/XXVII/A-WI/1/00904", "https://www.parlament.gv.at/ausschuss/XXVII/SA-P9/1/00876", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/5/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/4/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/3/00906"How many committees of inquiry (Untersuchungsausschüsse) have there been over the different legislative period (API returns data from 20 legisative period onward):
result <- get_committees(legis_period="XXVIII", citation="USA", institution="NR")
dplyr::glimpse(result)
#> Rows: 1
#> Columns: 5
#> $ legis_period <chr> "XXVIII"
#> $ committee <chr> "Pilnacek-Untersuchungsausschuss eingesetzt am 22.10.2025"
#> $ citation <chr> "A-USA/2"
#> $ id_number <int> 944
#> $ url_committee <chr> "https://www.parlament.gv.at/ausschuss/XXVIII/A-USA/2/00944"
committeeInquiry <- map(seq(20,28,1), \(x) get_committees(legis_period=x, institution="NR", citation="USA")) %>% list_rbind()
committeeInquiry %>%
dplyr::mutate(legis_period = factor(legis_period, levels = as.character(as.roman(20:28)))) %>%
dplyr::count(legis_period, .drop=F)
#> # A tibble: 9 × 2
#> legis_period n
#> <fct> <int>
#> 1 XX 0
#> 2 XXI 1
#> 3 XXII 0
#> 4 XXIII 3
#> 5 XXIV 2
#> 6 XXV 2
#> 7 XXVI 2
#> 8 XXVII 4
#> 9 XXVIII 1Additional details on a committee can be retrieved by specifying the
attribute details_type. As of now, members is
the only available option. Member information is automatically unnested
into the result.
committeeIbiza <- get_committees(legis_period=27, search_string="Ibiza", institution="NR", details_type="members")
dplyr::glimpse(committeeIbiza)
#> Rows: 40
#> Columns: 14
#> $ committee <chr> "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021", "Ibiza-Untersuchungsausschuss eingesetzt am 22.01.2020 - beendet am 22.09.2021"
#> $ url_committee <chr> "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906", "https://www.parlament.gv.at/ausschuss/XXVII/A-USA/2/00906"
#> $ id_number <int> 906, 906, 906, 906, 906, 906, 906, 906, 906, 906, 906, 906, 906, 906, 906, 906, 906, 906, 906, 906, 906, 906, 906, 906, 906, 906, 906, 906, 906, 906, 906, 906, 906, 906, 906, 906, 906, 906, 906, 906
#> $ citation <chr> "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2", "A-USA/2"
#> $ legis_period <chr> "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII", "XXVII"
#> $ date_start <dttm> 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22, 2020-01-22
#> $ date_end <dttm> 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23, 2024-10-23
#> $ title <chr> "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen", "Verzeichnis: Mitglieder, Vorsitz, Verfahrensrichter/-innen, Verfahrensanwälte/-innen"
#> $ url_pdf <chr> "/dokument/XXVII/A-USA/2/00906/MIT_00906.pdf", NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA
#> $ url_html <chr> NA, "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html", "/dokument/XXVII/A-USA/2/00906/MIT_00906.html"
#> $ name <chr> NA, "Präsident Sobotka Wolfgang, Mag.", "Zweite Präsidentin Bures Doris", "Dritter Präsident Hofer Norbert, Ing.", "Ofenauer Friedrich, Mag.", "Yildirim Selma, Mag.", "Belakowitsch Dagmar, Dr.", "Pöschl Wolfgang, Dr.", "Rohrer Ronald, Dr.", "Joklik Andreas, Dr.", "Weiß Barbara, Mag. Dr., LL.M.", "Gödl Ernst, Mag.", "Holzleitner Eva Maria, BSc", "Hafenecker Christian, MA", "Fürlinger Klaus, Mag.", "Gödl Ernst, Mag.", "Hanger Andreas, Mag.", "Kaufmann Martina, MMSc BA", "Stocker Christian, Dr.", "Holzleitner Eva Maria, BSc", "Krainer Kai Jan", "Matznetter Christoph, Dr.", "Fürst Susanne, Dr.", "Hafenecker Christian, MA", "Stögmüller David", "Tomaselli Nina, Mag.", "Krisper Stephanie, Dr.", "Deckenbacher Romana, Mag.", "Smodics-Neumann Maria, Mag.", "Niss Maria Theresia, Mag. Dr., MBA", "Obernosterer Gabriel", "Schwarz Gabriela", "Kollross Andreas", "Kucharowits Katharina", "Yılmaz Nurten", "Graf Martin, Mag. Dr.", "Ries Christian", "Bürstmayr Georg, Mag.", "Rössler Astrid, Dr.", "Brandstätter Helmut, Dr."
#> $ member_type <chr> NA, "Vorsitzender", "Vorsitzender-Vertreterin", "Vorsitzender-Vertreter", "Vorsitzender-Stellvertreter", "Vorsitzender-Stellvertreterin", "Vorsitzender-Stellvertreterin", "Verfahrensrichter", "Verfahrensrichter-Stellvertreter:in", "Verfahrensanwalt", "Verfahrensanwalt-Stellvertreterin", "Schriftführer:in", "Schriftführer:in", "Schriftführer:in", "member", "member", "member", "member", "member", "member", "member", "member", "member", "member", "member", "member", "member", "substitute", "substitute", "substitute", "substitute", "substitute", "substitute", "substitute", "substitute", "substitute", "substitute", "substitute", "substitute", "substitute"
#> $ party <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, "ÖVP", "ÖVP", "ÖVP", "ÖVP", "ÖVP", "SPÖ", "SPÖ", "SPÖ", "FPÖ", "FPÖ", "GRÜNE", "GRÜNE", "NEOS", "ÖVP", "ÖVP", "ÖVP", "ÖVP", "ÖVP", "SPÖ", "SPÖ", "SPÖ", "FPÖ", "FPÖ", "GRÜNE", "GRÜNE", "NEOS"
#> $ member_url <chr> NA, "https://www.parlament.gv.at/person/88386", "https://www.parlament.gv.at/person/145", "https://www.parlament.gv.at/person/35521", "https://www.parlament.gv.at/person/83300", "https://www.parlament.gv.at/person/2339", "https://www.parlament.gv.at/person/35468", NA, NA, NA, NA, "https://www.parlament.gv.at/person/83409", "https://www.parlament.gv.at/person/2309", "https://www.parlament.gv.at/person/78586", "https://www.parlament.gv.at/person/72999", "https://www.parlament.gv.at/person/83409", "https://www.parlament.gv.at/person/83148", "https://www.parlament.gv.at/person/1983", "https://www.parlament.gv.at/person/5439", "https://www.parlament.gv.at/person/2309", "https://www.parlament.gv.at/person/14842", "https://www.parlament.gv.at/person/14844", "https://www.parlament.gv.at/person/1567", "https://www.parlament.gv.at/person/78586", "https://www.parlament.gv.at/person/87001", "https://www.parlament.gv.at/person/5678", "https://www.parlament.gv.at/person/2344", "https://www.parlament.gv.at/person/6506", "https://www.parlament.gv.at/person/3133", "https://www.parlament.gv.at/person/2242", "https://www.parlament.gv.at/person/35487", "https://www.parlament.gv.at/person/2326", "https://www.parlament.gv.at/person/18666", "https://www.parlament.gv.at/person/35908", "https://www.parlament.gv.at/person/83117", "https://www.parlament.gv.at/person/2834", "https://www.parlament.gv.at/person/2997", "https://www.parlament.gv.at/person/6501", "https://www.parlament.gv.at/person/5674", "https://www.parlament.gv.at/person/5682"Get names & pad_interns
get_names is an auxiliary function to get an MP’s
different names (due to marriage, divorce, or other reasons). Below an
example with MP Pia Pilippa Beck, ex Strache.
#get first the pad_intern of the MP
result <- get_pad_intern("Strache")
dplyr::glimpse(result)
#> Rows: 3
#> Columns: 2
#> $ pad_intern <chr> "1905", "35518", "44127"
#> $ names_variants <chr> "Max Strache", "Heinz-Christian Strache", "Pia Philippa Beck, Pia Philippa Strache"
#get all name variants
result <- get_names(pad_intern=44127)
dplyr::glimpse(result)
#> Rows: 2
#> Columns: 9
#> $ index <int> 1, 2
#> $ pad_intern <dbl> 44127, 44127
#> $ name <chr> "Pia Philippa Beck", "Pia Philippa Strache"
#> $ date_start <date> 2023-06-28, NA
#> $ date_end <date> NA, 2023-06-27
#> $ name_clean <chr> "Pia Philippa Beck", "Pia Philippa Strache"
#> $ name_family <chr> "Beck", "Strache"
#> $ name_given <chr> "Pia Philippa ", "Pia Philippa "
#> $ note <chr> NA, "(bis 27.6.2023: Pia Philippa Strache)"Providing a date, returns the applicable name at the specified date.
result <- get_names(44127, date = "01/01/2024")
dplyr::glimpse(result)
#> Rows: 1
#> Columns: 9
#> $ index <dbl> 1
#> $ pad_intern <dbl> 44127
#> $ name <chr> "Pia Philippa Beck"
#> $ date_start <date> 2023-06-28
#> $ date_end <date> NA
#> $ name_clean <chr> "Pia Philippa Beck"
#> $ name_family <chr> "Beck"
#> $ name_given <chr> "Pia Philippa "
#> $ note <chr> NAMiscellaneous
The echo argument: Whenever relevant and feasible, ParlAT functions provide the option to echo the query to the API. The echo prints the query’s search arguments as well as the resulting URL to the console. The latter links to the same results on the website of the Austrian Parliament. The echo argument was included to double-check the results, facilitate convenient sharing of queries, and provide an additional avenue to explore the data.
```