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mrd
/
DIB_COVID19_paper
mirror of https://github.com/mribeirodantas/DIB_COVID19_paper

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generate_single_UN_dataset.dvc 4.2 KB
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  1. md5: 059db79a0bec6a89f692326b4a7184bf
    2. 

  2. cmd: Rscript scripts/aggregate_UN_data.R
    3. 

  3. deps:
    4. 

  4. - md5: 9c9d964d9036ceea96f864cd655e7e41
    5. 

  5.   path: data/raw/UN Data/SYB58_35_Index of industrial production.csv
    6. 

  6. - md5: ba4b5812da8a9700308bc21924225e50
    7. 

  7.   path: data/raw/UN Data/SYB60_312_Carbon Dioxide Emission Estimates.csv
    8. 

  8. - md5: ee78b455c64667c8406810602877bfbe
    9. 

  9.   path: data/raw/UN Data/SYB61_12_Agricultural Production Indices.csv
    10. 

  10. - md5: 62a066fa45d106eccdf36e236298c028
    11. 

  11.   path: data/raw/UN Data/SYB61_253_Population Growth Rates in Urban areas and Capital
    12. 

  12.     cities.csv
    13. 

  13. - md5: a730e93da1ac779277f4530ddf948738
    14. 

  14.   path: data/raw/UN Data/SYB62_1_201907_Population, Surface Area and Density.csv
    15. 

  15. - md5: 02c9b22534096171365618e7543220bb
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  16.   path: data/raw/UN Data/SYB62_123_201907_Total Imports, Exports and Balance of Trade.csv
    17. 

  17. - md5: e12af62d34294ea0361858f6d54270ff
    18. 

  18.   path: data/raw/UN Data/SYB62_125_201907_Balance of Payments.csv
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  19. - md5: 5b8d619ec7fe1bd845a74a0fb99745ef
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  20.   path: data/raw/UN Data/SYB62_128_201907_Consumer Price Index.csv
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  21. - md5: cfc1991fad2187db027cafe59d113d7a
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  22.   path: data/raw/UN Data/SYB62_130_201907_Exchange Rates.csv
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  23. - md5: e8df602fccc6523fa7d3256c61d5914e
    24. 

  24.   path: data/raw/UN Data/SYB62_145_201904_Land.csv
    25. 

  25. - md5: 5874fff5667658c8e322a7ab6ca1fcf0
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  26.   path: data/raw/UN Data/SYB62_153_201906_Gross Value Added by Economic Activity.csv
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  27. - md5: f200bbacb1708bb6e7d61865af7e5e0c
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  28.   path: data/raw/UN Data/SYB62_154_201906_Health Personnel.csv
    29. 

  29. - md5: 5d0275fa6ce8ee83f5083ab190653821
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  30.   path: data/raw/UN Data/SYB62_200_201905_Employment.csv
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  31. - md5: f7868cc3e29e34be8d23741663b314b8
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  32.   path: data/raw/UN Data/SYB62_223_201907_Net Disbursements from Official ODA from
    33. 

  33.     Donors.csv
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  34. - md5: 11517ac7e5e28383062b319f7f207df0
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  35.   path: data/raw/UN Data/SYB62_226_201907_Net Disbursements from Official ODA to Recipients.csv
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  36. - md5: 48da8b4d014f49770a81534df5f1d9cc
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  37.   path: data/raw/UN Data/SYB62_230_201904_GDP and GDP Per Capita.csv
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  38. - md5: 41e6d2f1e0c44d5479e19164171a3da0
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  39.   path: data/raw/UN Data/SYB62_245_201905_Public Expenditure on Education.csv
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  40. - md5: b9176a587c18fbc9084c67d4bc440bdb
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  41.   path: data/raw/UN Data/SYB62_246_201907_Population Growth, Fertility and Mortality
    42. 

  42.     Indicators.csv
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  43. - md5: 3f5b40e0c5c52f83fbfcca51013ddb1f
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  44.   path: data/raw/UN Data/SYB62_263_201904_Production, Trade and Supply of Energy.csv
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  45. - md5: e37b38fe8e1c514c90b87c5dec25c81a
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  46.   path: data/raw/UN Data/SYB62_264_201902_Patents.csv
    47. 

  47. - md5: d1e747b2340b9aa65404a0062024be87
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  48.   path: data/raw/UN Data/SYB62_285_201904_Research and Development Staff.csv
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  49. - md5: 4298efc9d34e2031ab78355ecf332d2e
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  50.   path: data/raw/UN Data/SYB62_286_201904_GDP on R&D.csv
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  51. - md5: 99e2f88a12e7f56ce0ecbabbf72e21c2
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  52.   path: data/raw/UN Data/SYB62_309_201906_Education.csv
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  53. - md5: fd75fefd718fc9e2a1d80bb5d84fcde4
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  54.   path: data/raw/UN Data/SYB62_313_201907_Threatened Species.csv
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  55. - md5: 810a4fdcc6150600723f76ffed960720
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  56.   path: data/raw/UN Data/SYB62_314_201904_Internet Usage.csv
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  57. - md5: c5958fbe4bb6f9dee31ce3f0aa9dcf04
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  58.   path: data/raw/UN Data/SYB62_315_201906_Water and Sanitation Services.csv
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  59. - md5: 62ea227bc1cad2f03dbe725d03cd0c3a
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  60.   path: data/raw/UN Data/SYB62_317_201905_Seats held by Women in Parliament.csv
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  61. - md5: 20a7e7b9b64b62d0707cc913ba144d47
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  62.   path: data/raw/UN Data/SYB62_319_201906_Ratio of Girls to Boys in Education.csv
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  63. - md5: 2507d9006397678f2fc4f688127ed226
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  64.   path: data/raw/UN Data/SYB62_323_201906_Teaching Staff in Education.csv
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  65. - md5: 49d3f49f984f61b31de4ed7dd114bd76
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  66.   path: data/raw/UN Data/SYB62_327_201907_International Migrants and Refugees.csv
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  67. - md5: 96c22545d7bd0e12a036018e1df7d3dd
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  68.   path: data/raw/UN Data/SYB62_328_201904_Intentional Homicides and Other Crimes.csv
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  69. - md5: 753393f93d3b6e5d3fe940a302770e07
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  70.   path: data/raw/UN Data/SYB62_329_201904_Labour Force and Unemployment.csv
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  71. - md5: fb55792a13cc53107831b747638e3395
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  72.   path: data/raw/UN Data/SYB62_330_201907_Major Trading Partners.csv
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  73. - md5: 8f52e307d5ec77056bf7ca6d0755fe94
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  74.   path: data/raw/UN Data/SYB63_176_202003_Tourist-Visitors Arrival and Expenditure.csv
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  75. - md5: 510656f91274af57cc3851215d342d2c
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  76.   path: data/raw/UN Data/SYB63_325_202003_Expenditure on Health.csv
    77. 

  77. - md5: 55729e04bf9430002250d653d399de88
    78. 

  78.   path: scripts/aggregate_UN_data.R
    79. 

  79. outs:
    80. 

  80. - md5: ac537d89c981b02641203d606123c78a
    81. 

  81.   path: data/raw/UN_dataset.tsv
    82.
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