Importing stock data problem when plotting with ggplot












-2















I have been attempting to import this Yahoo finance code and plot it using ggplot, but whenever I attempt to do it, the x axis shows multiple lines (as shown below). Also, as in the attached photo, I'm not sure why the dates are showing up this way. Thanks



x axis error



Here is the code



axdata <- read.csv("AXJO.csv")

axdata$Date <- as.Date(axdata$Date)

plt <- ggplot(axdata, aes(x =Date, y = axdata$Close))


Here is the data. I kept all the important details but removed a lot of the price data and dates to keep it to the character limit.



> dput(axdata)
structure(list(Date = structure(1:269, .Label = c("2017-10-30",
"2017-10-31", "2017-11-01", "2017-11-02", "2017-11-05", "2017-11-06",
"2017-11-07", "2017-11-08", "2017-11-09", "2017-11-12", "2017-11-13",
, "2018-11-07", "2018-11-08", "2018-11-11", "2018-11-12", "2018-11-13",
"2018-11-14", "2018-11-15", "2018-11-18", "2018-11-19", "2018-11-20"),
class = "factor"),
Open = structure(c(259L, 52L, 63L, 58L, 81L, 78L, 114L, 119L,
139L, 127L, 121L, 84L, 59L, 71L, 79L, 73L, 83L, 96L, 96L,
91L, 97L, 93L, 109L, 85L, 98L, 95L, 87L, 73L, 90L, 101L,
105L, 112L, 121L, 110L, 104L, 133L, 156L, 158L, 147L, 152L,
153L, 162L, 150L, 148L, 155L, 159L, 178L, 181L, 183L, 167L,
151L, 154L, 159L, 138L, 117L, 115L, 108L, 100L, 130L, 144L,
141L, 157L, 122L, 132L, 163L, 177L, 126L, 26L, 41L, 45L,
28L, 20L, 35L, 30L, 52L, 50L, 68L, 66L, 72L, 76L, 106L, 136L,
145L, 118L, 88L, 46L, 46L, 82L, 49L, 70L, 86L, 103L, 89L,
60L, 54L, 74L, 80L, 61L, 75L, 62L, 20L, 15L, 25L, 14L, 10L,
9L, 11L, 13L, 12L, 17L, 36L, 21L, 18L, 23L, 31L, 32L, 37L,
42L, 38L, 44L, 55L, 53L, 77L, 92L, 116L, 142L, 169L, 149L,
160L, 164L, 174L, 176L, 175L, 182L, 168L, 173L, 166L, 161L,
160L, 135L, 128L, 131L, 129L, 107L, 113L, 94L, 111L, 99L,
125L, 102L, 124L, 146L, 137L, 143L, 123L, 120L, 165L, 172L,
171L, 192L, 218L, 215L, 211L, 207L, 206L, 212L, 205L, 196L,
210L, 199L, 213L, 237L, 245L, 229L, 214L, 234L, 233L, 221L,
208L, 224L, 230L, 244L, 216L, 231L, 226L, 223L, 247L, 241L,
242L, 239L, 220L, 219L, 238L, 228L, 235L, 248L, 240L, 227L,
249L, 254L, 253L, 255L, 256L, 243L, 232L, 222L, 225L, 236L,
250L, 258L, 257L, 252L, 251L, 246L, 217L, 187L, 185L, 184L,
197L, 193L, 180L, 189L, 200L, 188L, 203L, 190L, 205L, 202L,
201L, 204L, 198L, 209L, 191L, 179L, 186L, 194L, 195L, 170L,
134L, 140L, 43L, 47L, 39L, 39L, 64L, 69L, 65L, 51L, 33L,
22L, 1L, 2L, 5L, 16L, 24L, 29L, 34L, 19L, 40L, 48L, 57L,
56L, 67L, 27L, 7L, 8L, 6L, 4L, 3L),
.Label = c("5664.100098",
"5665.200195", "5671.799805", "5693.700195", "5728.200195",
"5730.600098", "5732.799805", "5736.000000", "5751.899902",
"5759.399902", "5761.399902", "5788.700195", "5788.799805",
"5789.500000", "5790.500000", "5805.100098", "5808.700195",
"5815.500000", "5818.100098", "5820.700195", "5828.700195",
"5829.000000", "5829.100098", "5830.299805", "5832.299805",
"5833.299805", "5834.200195", "5838.000000", "5840.799805",
"5841.200195", "5841.299805", "5841.500000", "5843.100098",
"5849.200195", "5855.899902", "5857.000000", "5861.399902",
"5868.799805", "5869.899902", "5875.200195", "5876.799805",
"5881.000000", "5883.799805", "5886.000000", "5890.700195",
"5895.000000", "5895.700195", "5896.899902", "5902.000000",
"6094.299805", "6096.700195", "6097.799805", "6098.299805",
"6100.299805", "6102.100098", "6104.100098", "6107.000000",
"6108.000000", "6116.200195", "6118.700195", "6121.399902",
"6122.299805", "6126.200195", "6128.700195", "6130.399902",
"6135.299805", "6135.799805", "6141.700195", "6143.799805",
"6146.100098", "6160.399902", "6161.500000", "6165.299805",
"6169.500000", "6172.299805", "6172.600098", "6175.899902",
"6176.299805", "6177.399902", "6177.799805", "6179.700195",
"6181.200195", "6183.399902", "6185.000000", "6185.899902",
"6186.899902", "6190.000000", "6192.299805", "6194.600098",
"6195.899902", "6197.600098", "6203.600098", "6207.600098",
"6210.200195", "6210.399902", "6215.399902", "6215.500000",
.899902", "6286.000000", "6293.100098", "6297.000000",
"6297.700195","6299.600098",
"6304.700195", "6310.899902", "6319.500000", "6328.299805",
"6329.000000", "6338.399902", "6345.000000", "6351.799805",
"6352.200195", "null"), class = "factor"), High = structure(c(260L,
62L, 70L, 74L, 73L, 104L, 108L, 132L, 130L, 116L, 106L, 75L,
64L, 82L, 66L, 76L, 90L, 86L, 86L, 94L, 93L, 117L, 95L, 97L,
91L, 85L, 77L, 87L, 99L, 101L, 102L, 114L, 127L, 96L, 124L,
146L, 150L, 147L, 153L, 157L, 154L, 156L, 143L, 148L, 163L,
173L, 177L, 181L, 182L, 160L, 152L, 164L, 145L, 129L, 120L,
115L, 105L, 125L, 141L, 135L, 155L, 144L, 128L, 158L, 172L,
172L, 113L, 52L, 38L, 37L, 22L, 28L, 32L, 45L, 51L, 61L,
57L, 65L, 78L, 92L, 126L, 149L, 137L, 103L, 79L, 69L, 83L,
71L, 60L, 81L, 112L, 89L, 80L, 48L, 63L, 84L, 68L, 72L, 67L,
50L, 15L, 20L, 18L, 11L, 9L, 8L, 13L, 10L, 14L, 27L, 29L,
21L, 23L, 31L, 33L, 30L, 42L, 36L, 39L, 46L, 53L, 64L, 88L,
107L, 133L, 165L, 165L, 166L, 168L, 169L, 178L, 176L, 175L,
179L, 174L, 171L, 167L, 159L, 151L, 136L, 123L, 122L, 118L,
110L, 100L, 109L, 98L, 121L, 111L, 112L, 142L, 139L, 140L,
34L,
24L, 26L, 34L, 41L, 49L, 47L, 56L, 56L, 19L, 6L, 7L, 4L,
2L, 1L), .Label = c("5671.799805", "5693.700195", "5700.200195",
"5731.299805", "5737.600098", "5753.500000", "5757.899902",
"5764.299805", "5766.000000", "5799.200195", "5804.299805",
"5805.100098", "5806.000000", "5816.600098", "5820.700195",
"5829.000000", "5830.299805", "5832.299805", "5837.299805",
"5837.500000", "5837.899902", "5840.500000", "5844.700195",
"5849.200195", "5857.100098", "5857.399902", "5857.799805",
"5860.200195", "5864.000000", "5864.799805", "5867.600098",
"5868.100098", "5871.100098", "5877.200195", "5884.700195",
"5887.000000", "5890.700195", "5893.600098", "5894.700195",
05",
"6313.600098", "6314.899902", "6318.899902", "6329.000000",
"6331.000000", "6333.700195", "6345.399902", "6348.100098",
"6352.200195", "6355.200195", "6358.000000", "6373.500000",
"null"),
class = "factor"), Low = structure(c(263L, 67L,
79L, 80L, 90L, 96L, 121L, 136L, 139L, 129L, 97L, 82L, 73L,
86L, 76L, 88L, 100L, 99L, 95L, 107L, 105L, 111L, 92L, 102L,
109L, 91L, 84L, 87L, 106L, 114L, 123L, 126L, 130L, 113L,
122L, 149L, 159L, 158L, 160L, 166L, 163L, 156L, 146L, 161L,
165L, 169L, 186L, 191L, 177L, 157L, 164L, 167L, 152L, 133L,
135L, 125L, 116L, 116L, 147L, 144L, 154L, 137L, 117L, 148L,
171L, 134L, 24L, 39L, 41L, 20L, 23L, 29L, 38L, 42L, 64L,
57L, 70L, 74L, 78L, 94L, 124L, 153L, 132L, 98L, 63L, 58L,
58L, 59L, 60L, 85L, 103L, 93L, 77L, 66L, 75L, 81L, 72L, 83L,
68L, 27L, 17L, 22L, 18L, 13L, 9L, 12L, 14L, 15L, 16L, 19L,
36L, 26L, 30L, 37L, 43L, 44L, 48L, 49L, 50L, 52L, 65L, 69L,
89L, 108L, 128L, 155L, 162L, 163L, 174L, 173L, 182L, 184L,
L, 212L, 198L,
185L, 188L, 194L, 199L, 179L, 145L, 140L, 54L, 47L, 25L,
40L, 51L, 71L, 53L, 56L, 45L, 33L, 4L, 2L, 5L, 8L, 21L, 34L,
28L, 31L, 32L, 46L, 62L, 61L, 55L, 35L, 11L, 7L, 10L, 6L,
3L, 1L), .Label = c("5594.000000", "5624.600098", "5635.500000",
"5664.100098", "5665.200195", "5682.399902", "5686.799805",
66.799805",
"6167.700195", "6169.500000", "6172.600098", "6174.399902",
"6177.500000", "6177.799805", "6178.399902", "6179.799805",
"6181.200195", "6182.000000", "6182.500000", "6189.399902",
"6194.600098", "6199.899902", "6203.600098", "6204.299805",
"6209.600098", "6209.899902", "6214.500000", "6215.500000",
"6217.000000", "6224.899902", "6227.600098", "6230.399902",
"6230.899902", "6231.200195", "6234.799805", "6235.500000",
"6238.000000", "6239.600098", "6239.700195", "6240.899902",
"6242.500000", "6243.100098", "6244.399902", "6244.500000",
"6248.799805", "6251.100098", "6252.200195", "6253.899902",
"6254.799805", "6257.899902", "6258.399902", "6260.000000",
"6268.899902", "6269.100098", "6271.899902", "6272.299805",
"6274.700195", "6275.899902", "6276.299805", "6277.399902",
"6282.399902", "6303.000000", "6310.899902", "6316.600098",
"6319.500000", "6338.399902", "6348.200195", "null"), class = "factor"),
Close = structure(c(263L, 65L, 60L, 85L, 81L, 119L, 124L,
144L, 132L, 126L, 90L, 61L, 73L, 82L, 75L, 89L, 101L, 86L,
96L, 102L, 98L, 114L, 91L, 103L, 100L, 92L, 76L, 95L, 106L,
110L, 117L, 126L, 115L, 109L, 138L, 161L, 163L, 152L, 157L,
158L, 167L, 155L, 153L, 160L, 164L, 183L, 186L, 188L, 172L,
156L, 159L, 164L, 143L, 122L, 120L, 113L, 105L, 135L, 149L,
146L, 162L, 127L, 137L, 168L, 182L, 131L, 27L, 43L, 47L,
30L, 21L, 37L, 32L, 53L, 51L, 70L, 68L, 74L, 79L, 111L, 141L,
150L, 123L, 93L, 59L, 84L, 87L, 50L, 72L, 88L, 108L, 94L,
62L, 55L, 77L, 83L, 63L, 78L, 64L, 21L, 16L, 26L, 15L, 11L,
10L, 12L, 14L, 13L, 18L, 38L, 22L, 19L, 24L, 33L, 34L, 39L,
44L, 40L, 46L, 56L, 54L, 80L, 97L, 121L, 147L, 174L, 154L,
165L, 169L, 179L, 181L, 180L, 187L, 173L, 178L, 171L, 166L,
165L, 140L, 133L, 136L, 134L, 112L, 118L, 99L, 116L, 104L,
130L, 107L, 129L, 151L, 142L, 148L, 128L, 125L, 170L, 177L,
176L, 197L, 223L, 220L, 216L, 212L, 211L, 217L, 210L, 200L,
215L, 203L, 218L, 242L, 249L, 234L, 219L, 238L, 239L, 226L,
213L, 229L, 235L, 248L, 221L, 236L, 231L, 228L, 253L, 245L,
246L, 244L, 225L, 224L, 243L, 233L, 240L, 251L, 245L, 232L,
252L, 258L, 257L, 259L, 260L, 247L, 237L, 227L, 230L, 241L,
254L, 262L, 261L, 256L, 255L, 250L, 222L, 192L, 190L, 189L,
201L, 198L, 185L, 194L, 204L, 193L, 208L, 195L, 210L, 207L,
206L, 209L, 202L, 214L, 196L, 184L, 191L, 199L, 205L, 175L,
139L, 145L, 45L, 48L, 29L, 41L, 66L, 71L, 67L, 52L, 35L,
23L, 2L, 3L, 6L, 17L, 25L, 31L, 36L, 20L, 42L, 49L, 58L,
57L, 69L, 28L, 8L, 9L, 7L, 5L, 4L, 1L), .Label = c("5642.799805",
"5664.100098", "5665.200195", "5671.799805", "5693.700195",
"5728.200195", "5730.600098", "5732.799805", "5736.000000",
"5751.899902", "5759.399902", "5761.399902", "5788.700195",
"5788.799805", "5789.500000", "5790.500000", "5805.100098",
"5808.700195", "5815.500000", "5818.100098", "5820.700195",
"5828.700195", "5829.000000", "5829.100098", "5830.299805",
"5832.299805", "5833.299805", "5834.200195", "5837.100098",
"
"5939.100098", "5939.500000", "5940.899902", "5941.299805",
"5941.600098", "5942.399902", "5942.899902", "5943.500000",
"5943.700195", "5945.700195", "5946.100098", "5949.399902",
"5950.299805", "5950.899902", "5953.600098", "5953.799805",
"5957.299805", "5959.399902", "5959.500000", "5959.899902",
"5960.600098", "5962.399902", "5963.200195", "5963.500000",
"5966.000000", "5969.899902", "5971.700195", "5973.299805",
"5974.700195", "5977.700195", "5982.600098", "5982.700195",
"5984.299805", "5984.700195", "5985.600098", "5986.399902",
"5988.799805", "5989.799805", "5990.399902", "5991.899902",
"5994.399902", "5994.899902", "5996.100098", "5997.000000",
"5998.299805", "5999.799805", "6004.000000", "6005.799805",
"6011.100098", "6011.299805", "6011.899902", "6013.200195",
"6013.600098", "6014.299805", "6014.600098", "6015.200195",
"6015.799805", "6016.000000", "6016.299805", "6016.600098",
"6021.799805", "6022.799805", "6023.500000", "6025.100098",
"6025.500000", "6026.200195", "6029.399902", "6032.500000",
"6032.799805", "6037.000000", "6037.100098", "6037.700195",
"6038.899902", "6041.100098", "6041.899902", "6042.200195",
"6045.200195", "6048.600098", "6049.399902", "6049.799805",
"6050.000000", "6050.200195", "6054.399902", "6054.700195",
"6056.899902", "6057.299805", "6060.399902", "6061.299805",
"6062.899902", "6065.100098", "6067.600098", "6069.700195",
"6069.899902", "6070.100098", "6070.399902", "6071.799805",
"6075.399902", "6075.600098", "6077.100098", "6084.500000",
"6087.399902", "6088.100098", "6090.100098", "6091.899902",
"6094.000000", "6094.299805", "6096.700195", "6097.799805",
"6098.299805", "6100.299805", "6102.100098", "6104.100098",
"6107.000000", "6108.000000", "6116.200195", "6118.700195",
"6121.399902", "6122.299805", "6126.200195", "6128.700195",
"6130.399902", "6135.299805", "6135.799805", "6141.700195",
"6143.799805", "6146.100098", "6160.399902", "6161.500000",
"6165.299805", "6169.500000", "6172.299805", "6172.600098",
"6175.899902", "6176.299805", "6177.799805", "6179.700195",
"6181.200195", "6183.399902", "6185.000000", "6185.500000",
"6185.899902", "6186.899902", "6190.000000", "6192.299805",
"6194.600098", "6195.899902", "6197.600098", "6203.600098",
"6207.600098", "6210.200195", "6210.399902", "6215.399902",
"6215.500000", "6215.600098", "6225.200195", "6227.600098",
"6230.399902", "6232.100098", "6234.799805", "6240.899902",
"6241.500000", "6244.399902", "6244.500000", "6245.100098",
"6247.299805", "6247.600098", "6252.200195", "6253.899902",
"6258.100098", "6262.700195", "6265.799805", "6266.000000",
"6268.299805", "6268.399902", "6268.500000", "6268.899902",
"6272.299805", "6273.000000", "6275.700195", "6278.399902",
"6280.200195", "6284.399902", "6285.899902", "6286.000000",
"6293.100098", "6297.700195", "6299.600098", "6300.200195",
"6304.700195", "6310.899902", "6319.500000", "6328.299805",
"6329.000000", "6339.200195", "6345.000000", "6351.799805",
"6352.200195", "null"), class = "factor"), Adj.Close = structure(c(263L,
65L, 60L, 85L, 81L, 119L, 124L, 144L, 132L, 126L, 90L, 61L,
73L, 82L, 75L, 89L, 101L, 86L, 96L, 102L, 98L, 114L, 91L,
103L, 100L, 92L, 76L, 95L, 106L, 110L, 117L, 126L, 115L,
109L, 138L, 161L, 163L, 152L, 157L, 158L, 167L, 155L, 153L,
160L, 164L, 183L, 186L, 188L, 172L, 156L, 159L, 164L, 143L,
122L, 120L, 113L, 105L, 135L, 149L, 146L, 162L, 127L, 137L,
168L, 182L, 131L, 27L, 43L, 47L, 30L, 21L, 37L, 32L, 53L,
51L, 70L, 68L, 74L, 79L, 111L, 141L, 150L, 123L, 93L, 59L,
84L, 87L, 50L, 72L, 88L, 108L, 94L, 62L, 55L, 77L, 83L, 63L,
78L, 64L, 21L, 16L, 26L, 15L, 11L, 10L, 12L, 14L, 13L, 18L,
38L, 22L, 19L, 24L, 33L, 34L, 39L, 44L, 40L, 46L, 56L, 54L,
80L, 97L, 121L, 147L, 174L, 154L, 165L, 169L, 179L, 181L,
180L, 187L, 173L, 178L, 171L, 166L, 165L, 140L, 133L, 136L,
134L, 112L, 118L, 99L, 116L, 104L, 130L, 107L, 129L, 151L,
142L, 148L, 128L, 125L, 170L, 177L, 176L, 197L, 223L, 220L,
216L, 212L, 211L, 217L, 210L, 200L, 215L, 203L, 218L, 242L,
249L, 234L, 219L, 238L, 239L, 226L, 213L, 229L, 235L, 248L,
221L, 236L, 231L, 228L, 253L, 245L, 246L, 244L, 225L, 224L,
243L, 233L, 240L, 251L, 245L, 232L, 252L, 258L, 257L, 259L,
260L, 247L, 237L, 227L, 230L, 241L, 254L, 262L, 261L, 256L,
255L, 250L, 222L, 192L, 190L, 189L, 201L, 198L, 185L, 194L,
204L, 193L, 208L, 195L, 210L, 207L, 206L, 209L, 202L, 214L,
196L, 184L, 191L, 199L, 205L, 175L, 139L, 145L, 45L, 48L,
29L, 41L, 66L, 71L, 67L, 52L, 35L, 23L, 2L, 3L, 6L, 17L,
25L, 31L, 36L, 20L, 42L, 49L, 58L, 57L, 69L, 28L, 8L, 9L,
7L, 5L, 4L, 1L), .Label = c("5642.799805", "5664.100098",
"5665.200195", "5671.799805", "5693.700195", "5728.200195",
"5730.600098", "5732.799805", "5736.000000", "5751.899902",
"5759.399902", "5761.399902", "5788.700195", "5788.799805",
"5789.500000", "5790.500000", "5805.100098", "5808.700195",
"5815.500000", "5818.100098", "5820.700195", "5828.700195",
"5829.000000", "5829.100098", "5830.299805", "5832.299805",
"5833.299805", "5834.200195", "5837.100098", "5838.000000",
"5840.799805", "5841.200195", "5841.299805", "5841.500000",
"5843.100098", "5849.200195", "5855.899902", "5857.000000",
"5861.399902", "5868.799805", "5869.899902", "5875.200195",
"5876.799805", "5881.000000", "5883.799805", "5886.000000",
"5890.700195", "5895.700195", "5896.899902", "5902.000000",

"6262.700195", "6265.799805", "6266.000000", "6268.299805",
"6268.399902", "6268.500000", "6268.899902", "6272.299805",
"6273.000000", "6275.700195", "6278.399902", "6280.200195",
"6284.399902", "6285.899902", "6286.000000", "6293.100098",
"6297.700195", "6299.600098", "6300.200195", "6304.700195",
"6310.899902", "6319.500000", "6328.299805", "6329.000000",
"6339.200195", "6345.000000", "6351.799805", "6352.200195",
"null"), class = "factor"), Volume = structure(c(5L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0",
"34463900", "78246200", "7891300", "null"), class = "factor")), class = "data.frame", row.names = c(NA,


-269L))










share|improve this question

























  • Please include a reproducible example. You can show us the data using dput(axdata) and pasting in the results. That way we can help you better

    – RAB
    Nov 22 '18 at 7:03











  • @user10626943 I just included the data for you. Thanks

    – MrFizz
    Nov 22 '18 at 9:55











  • Your dput contains errors. Missing quotes and or data. From which stock quote does the data come from? That way I can download the data myself from yahoo

    – phiver
    Nov 22 '18 at 10:01











  • @phiver its from the S&P/ASX200 index. Here is a link to the the Yahoo download page. link

    – MrFizz
    Nov 22 '18 at 10:21


















-2















I have been attempting to import this Yahoo finance code and plot it using ggplot, but whenever I attempt to do it, the x axis shows multiple lines (as shown below). Also, as in the attached photo, I'm not sure why the dates are showing up this way. Thanks



x axis error



Here is the code



axdata <- read.csv("AXJO.csv")

axdata$Date <- as.Date(axdata$Date)

plt <- ggplot(axdata, aes(x =Date, y = axdata$Close))


Here is the data. I kept all the important details but removed a lot of the price data and dates to keep it to the character limit.



> dput(axdata)
structure(list(Date = structure(1:269, .Label = c("2017-10-30",
"2017-10-31", "2017-11-01", "2017-11-02", "2017-11-05", "2017-11-06",
"2017-11-07", "2017-11-08", "2017-11-09", "2017-11-12", "2017-11-13",
, "2018-11-07", "2018-11-08", "2018-11-11", "2018-11-12", "2018-11-13",
"2018-11-14", "2018-11-15", "2018-11-18", "2018-11-19", "2018-11-20"),
class = "factor"),
Open = structure(c(259L, 52L, 63L, 58L, 81L, 78L, 114L, 119L,
139L, 127L, 121L, 84L, 59L, 71L, 79L, 73L, 83L, 96L, 96L,
91L, 97L, 93L, 109L, 85L, 98L, 95L, 87L, 73L, 90L, 101L,
105L, 112L, 121L, 110L, 104L, 133L, 156L, 158L, 147L, 152L,
153L, 162L, 150L, 148L, 155L, 159L, 178L, 181L, 183L, 167L,
151L, 154L, 159L, 138L, 117L, 115L, 108L, 100L, 130L, 144L,
141L, 157L, 122L, 132L, 163L, 177L, 126L, 26L, 41L, 45L,
28L, 20L, 35L, 30L, 52L, 50L, 68L, 66L, 72L, 76L, 106L, 136L,
145L, 118L, 88L, 46L, 46L, 82L, 49L, 70L, 86L, 103L, 89L,
60L, 54L, 74L, 80L, 61L, 75L, 62L, 20L, 15L, 25L, 14L, 10L,
9L, 11L, 13L, 12L, 17L, 36L, 21L, 18L, 23L, 31L, 32L, 37L,
42L, 38L, 44L, 55L, 53L, 77L, 92L, 116L, 142L, 169L, 149L,
160L, 164L, 174L, 176L, 175L, 182L, 168L, 173L, 166L, 161L,
160L, 135L, 128L, 131L, 129L, 107L, 113L, 94L, 111L, 99L,
125L, 102L, 124L, 146L, 137L, 143L, 123L, 120L, 165L, 172L,
171L, 192L, 218L, 215L, 211L, 207L, 206L, 212L, 205L, 196L,
210L, 199L, 213L, 237L, 245L, 229L, 214L, 234L, 233L, 221L,
208L, 224L, 230L, 244L, 216L, 231L, 226L, 223L, 247L, 241L,
242L, 239L, 220L, 219L, 238L, 228L, 235L, 248L, 240L, 227L,
249L, 254L, 253L, 255L, 256L, 243L, 232L, 222L, 225L, 236L,
250L, 258L, 257L, 252L, 251L, 246L, 217L, 187L, 185L, 184L,
197L, 193L, 180L, 189L, 200L, 188L, 203L, 190L, 205L, 202L,
201L, 204L, 198L, 209L, 191L, 179L, 186L, 194L, 195L, 170L,
134L, 140L, 43L, 47L, 39L, 39L, 64L, 69L, 65L, 51L, 33L,
22L, 1L, 2L, 5L, 16L, 24L, 29L, 34L, 19L, 40L, 48L, 57L,
56L, 67L, 27L, 7L, 8L, 6L, 4L, 3L),
.Label = c("5664.100098",
"5665.200195", "5671.799805", "5693.700195", "5728.200195",
"5730.600098", "5732.799805", "5736.000000", "5751.899902",
"5759.399902", "5761.399902", "5788.700195", "5788.799805",
"5789.500000", "5790.500000", "5805.100098", "5808.700195",
"5815.500000", "5818.100098", "5820.700195", "5828.700195",
"5829.000000", "5829.100098", "5830.299805", "5832.299805",
"5833.299805", "5834.200195", "5838.000000", "5840.799805",
"5841.200195", "5841.299805", "5841.500000", "5843.100098",
"5849.200195", "5855.899902", "5857.000000", "5861.399902",
"5868.799805", "5869.899902", "5875.200195", "5876.799805",
"5881.000000", "5883.799805", "5886.000000", "5890.700195",
"5895.000000", "5895.700195", "5896.899902", "5902.000000",
"6094.299805", "6096.700195", "6097.799805", "6098.299805",
"6100.299805", "6102.100098", "6104.100098", "6107.000000",
"6108.000000", "6116.200195", "6118.700195", "6121.399902",
"6122.299805", "6126.200195", "6128.700195", "6130.399902",
"6135.299805", "6135.799805", "6141.700195", "6143.799805",
"6146.100098", "6160.399902", "6161.500000", "6165.299805",
"6169.500000", "6172.299805", "6172.600098", "6175.899902",
"6176.299805", "6177.399902", "6177.799805", "6179.700195",
"6181.200195", "6183.399902", "6185.000000", "6185.899902",
"6186.899902", "6190.000000", "6192.299805", "6194.600098",
"6195.899902", "6197.600098", "6203.600098", "6207.600098",
"6210.200195", "6210.399902", "6215.399902", "6215.500000",
.899902", "6286.000000", "6293.100098", "6297.000000",
"6297.700195","6299.600098",
"6304.700195", "6310.899902", "6319.500000", "6328.299805",
"6329.000000", "6338.399902", "6345.000000", "6351.799805",
"6352.200195", "null"), class = "factor"), High = structure(c(260L,
62L, 70L, 74L, 73L, 104L, 108L, 132L, 130L, 116L, 106L, 75L,
64L, 82L, 66L, 76L, 90L, 86L, 86L, 94L, 93L, 117L, 95L, 97L,
91L, 85L, 77L, 87L, 99L, 101L, 102L, 114L, 127L, 96L, 124L,
146L, 150L, 147L, 153L, 157L, 154L, 156L, 143L, 148L, 163L,
173L, 177L, 181L, 182L, 160L, 152L, 164L, 145L, 129L, 120L,
115L, 105L, 125L, 141L, 135L, 155L, 144L, 128L, 158L, 172L,
172L, 113L, 52L, 38L, 37L, 22L, 28L, 32L, 45L, 51L, 61L,
57L, 65L, 78L, 92L, 126L, 149L, 137L, 103L, 79L, 69L, 83L,
71L, 60L, 81L, 112L, 89L, 80L, 48L, 63L, 84L, 68L, 72L, 67L,
50L, 15L, 20L, 18L, 11L, 9L, 8L, 13L, 10L, 14L, 27L, 29L,
21L, 23L, 31L, 33L, 30L, 42L, 36L, 39L, 46L, 53L, 64L, 88L,
107L, 133L, 165L, 165L, 166L, 168L, 169L, 178L, 176L, 175L,
179L, 174L, 171L, 167L, 159L, 151L, 136L, 123L, 122L, 118L,
110L, 100L, 109L, 98L, 121L, 111L, 112L, 142L, 139L, 140L,
34L,
24L, 26L, 34L, 41L, 49L, 47L, 56L, 56L, 19L, 6L, 7L, 4L,
2L, 1L), .Label = c("5671.799805", "5693.700195", "5700.200195",
"5731.299805", "5737.600098", "5753.500000", "5757.899902",
"5764.299805", "5766.000000", "5799.200195", "5804.299805",
"5805.100098", "5806.000000", "5816.600098", "5820.700195",
"5829.000000", "5830.299805", "5832.299805", "5837.299805",
"5837.500000", "5837.899902", "5840.500000", "5844.700195",
"5849.200195", "5857.100098", "5857.399902", "5857.799805",
"5860.200195", "5864.000000", "5864.799805", "5867.600098",
"5868.100098", "5871.100098", "5877.200195", "5884.700195",
"5887.000000", "5890.700195", "5893.600098", "5894.700195",
05",
"6313.600098", "6314.899902", "6318.899902", "6329.000000",
"6331.000000", "6333.700195", "6345.399902", "6348.100098",
"6352.200195", "6355.200195", "6358.000000", "6373.500000",
"null"),
class = "factor"), Low = structure(c(263L, 67L,
79L, 80L, 90L, 96L, 121L, 136L, 139L, 129L, 97L, 82L, 73L,
86L, 76L, 88L, 100L, 99L, 95L, 107L, 105L, 111L, 92L, 102L,
109L, 91L, 84L, 87L, 106L, 114L, 123L, 126L, 130L, 113L,
122L, 149L, 159L, 158L, 160L, 166L, 163L, 156L, 146L, 161L,
165L, 169L, 186L, 191L, 177L, 157L, 164L, 167L, 152L, 133L,
135L, 125L, 116L, 116L, 147L, 144L, 154L, 137L, 117L, 148L,
171L, 134L, 24L, 39L, 41L, 20L, 23L, 29L, 38L, 42L, 64L,
57L, 70L, 74L, 78L, 94L, 124L, 153L, 132L, 98L, 63L, 58L,
58L, 59L, 60L, 85L, 103L, 93L, 77L, 66L, 75L, 81L, 72L, 83L,
68L, 27L, 17L, 22L, 18L, 13L, 9L, 12L, 14L, 15L, 16L, 19L,
36L, 26L, 30L, 37L, 43L, 44L, 48L, 49L, 50L, 52L, 65L, 69L,
89L, 108L, 128L, 155L, 162L, 163L, 174L, 173L, 182L, 184L,
L, 212L, 198L,
185L, 188L, 194L, 199L, 179L, 145L, 140L, 54L, 47L, 25L,
40L, 51L, 71L, 53L, 56L, 45L, 33L, 4L, 2L, 5L, 8L, 21L, 34L,
28L, 31L, 32L, 46L, 62L, 61L, 55L, 35L, 11L, 7L, 10L, 6L,
3L, 1L), .Label = c("5594.000000", "5624.600098", "5635.500000",
"5664.100098", "5665.200195", "5682.399902", "5686.799805",
66.799805",
"6167.700195", "6169.500000", "6172.600098", "6174.399902",
"6177.500000", "6177.799805", "6178.399902", "6179.799805",
"6181.200195", "6182.000000", "6182.500000", "6189.399902",
"6194.600098", "6199.899902", "6203.600098", "6204.299805",
"6209.600098", "6209.899902", "6214.500000", "6215.500000",
"6217.000000", "6224.899902", "6227.600098", "6230.399902",
"6230.899902", "6231.200195", "6234.799805", "6235.500000",
"6238.000000", "6239.600098", "6239.700195", "6240.899902",
"6242.500000", "6243.100098", "6244.399902", "6244.500000",
"6248.799805", "6251.100098", "6252.200195", "6253.899902",
"6254.799805", "6257.899902", "6258.399902", "6260.000000",
"6268.899902", "6269.100098", "6271.899902", "6272.299805",
"6274.700195", "6275.899902", "6276.299805", "6277.399902",
"6282.399902", "6303.000000", "6310.899902", "6316.600098",
"6319.500000", "6338.399902", "6348.200195", "null"), class = "factor"),
Close = structure(c(263L, 65L, 60L, 85L, 81L, 119L, 124L,
144L, 132L, 126L, 90L, 61L, 73L, 82L, 75L, 89L, 101L, 86L,
96L, 102L, 98L, 114L, 91L, 103L, 100L, 92L, 76L, 95L, 106L,
110L, 117L, 126L, 115L, 109L, 138L, 161L, 163L, 152L, 157L,
158L, 167L, 155L, 153L, 160L, 164L, 183L, 186L, 188L, 172L,
156L, 159L, 164L, 143L, 122L, 120L, 113L, 105L, 135L, 149L,
146L, 162L, 127L, 137L, 168L, 182L, 131L, 27L, 43L, 47L,
30L, 21L, 37L, 32L, 53L, 51L, 70L, 68L, 74L, 79L, 111L, 141L,
150L, 123L, 93L, 59L, 84L, 87L, 50L, 72L, 88L, 108L, 94L,
62L, 55L, 77L, 83L, 63L, 78L, 64L, 21L, 16L, 26L, 15L, 11L,
10L, 12L, 14L, 13L, 18L, 38L, 22L, 19L, 24L, 33L, 34L, 39L,
44L, 40L, 46L, 56L, 54L, 80L, 97L, 121L, 147L, 174L, 154L,
165L, 169L, 179L, 181L, 180L, 187L, 173L, 178L, 171L, 166L,
165L, 140L, 133L, 136L, 134L, 112L, 118L, 99L, 116L, 104L,
130L, 107L, 129L, 151L, 142L, 148L, 128L, 125L, 170L, 177L,
176L, 197L, 223L, 220L, 216L, 212L, 211L, 217L, 210L, 200L,
215L, 203L, 218L, 242L, 249L, 234L, 219L, 238L, 239L, 226L,
213L, 229L, 235L, 248L, 221L, 236L, 231L, 228L, 253L, 245L,
246L, 244L, 225L, 224L, 243L, 233L, 240L, 251L, 245L, 232L,
252L, 258L, 257L, 259L, 260L, 247L, 237L, 227L, 230L, 241L,
254L, 262L, 261L, 256L, 255L, 250L, 222L, 192L, 190L, 189L,
201L, 198L, 185L, 194L, 204L, 193L, 208L, 195L, 210L, 207L,
206L, 209L, 202L, 214L, 196L, 184L, 191L, 199L, 205L, 175L,
139L, 145L, 45L, 48L, 29L, 41L, 66L, 71L, 67L, 52L, 35L,
23L, 2L, 3L, 6L, 17L, 25L, 31L, 36L, 20L, 42L, 49L, 58L,
57L, 69L, 28L, 8L, 9L, 7L, 5L, 4L, 1L), .Label = c("5642.799805",
"5664.100098", "5665.200195", "5671.799805", "5693.700195",
"5728.200195", "5730.600098", "5732.799805", "5736.000000",
"5751.899902", "5759.399902", "5761.399902", "5788.700195",
"5788.799805", "5789.500000", "5790.500000", "5805.100098",
"5808.700195", "5815.500000", "5818.100098", "5820.700195",
"5828.700195", "5829.000000", "5829.100098", "5830.299805",
"5832.299805", "5833.299805", "5834.200195", "5837.100098",
"
"5939.100098", "5939.500000", "5940.899902", "5941.299805",
"5941.600098", "5942.399902", "5942.899902", "5943.500000",
"5943.700195", "5945.700195", "5946.100098", "5949.399902",
"5950.299805", "5950.899902", "5953.600098", "5953.799805",
"5957.299805", "5959.399902", "5959.500000", "5959.899902",
"5960.600098", "5962.399902", "5963.200195", "5963.500000",
"5966.000000", "5969.899902", "5971.700195", "5973.299805",
"5974.700195", "5977.700195", "5982.600098", "5982.700195",
"5984.299805", "5984.700195", "5985.600098", "5986.399902",
"5988.799805", "5989.799805", "5990.399902", "5991.899902",
"5994.399902", "5994.899902", "5996.100098", "5997.000000",
"5998.299805", "5999.799805", "6004.000000", "6005.799805",
"6011.100098", "6011.299805", "6011.899902", "6013.200195",
"6013.600098", "6014.299805", "6014.600098", "6015.200195",
"6015.799805", "6016.000000", "6016.299805", "6016.600098",
"6021.799805", "6022.799805", "6023.500000", "6025.100098",
"6025.500000", "6026.200195", "6029.399902", "6032.500000",
"6032.799805", "6037.000000", "6037.100098", "6037.700195",
"6038.899902", "6041.100098", "6041.899902", "6042.200195",
"6045.200195", "6048.600098", "6049.399902", "6049.799805",
"6050.000000", "6050.200195", "6054.399902", "6054.700195",
"6056.899902", "6057.299805", "6060.399902", "6061.299805",
"6062.899902", "6065.100098", "6067.600098", "6069.700195",
"6069.899902", "6070.100098", "6070.399902", "6071.799805",
"6075.399902", "6075.600098", "6077.100098", "6084.500000",
"6087.399902", "6088.100098", "6090.100098", "6091.899902",
"6094.000000", "6094.299805", "6096.700195", "6097.799805",
"6098.299805", "6100.299805", "6102.100098", "6104.100098",
"6107.000000", "6108.000000", "6116.200195", "6118.700195",
"6121.399902", "6122.299805", "6126.200195", "6128.700195",
"6130.399902", "6135.299805", "6135.799805", "6141.700195",
"6143.799805", "6146.100098", "6160.399902", "6161.500000",
"6165.299805", "6169.500000", "6172.299805", "6172.600098",
"6175.899902", "6176.299805", "6177.799805", "6179.700195",
"6181.200195", "6183.399902", "6185.000000", "6185.500000",
"6185.899902", "6186.899902", "6190.000000", "6192.299805",
"6194.600098", "6195.899902", "6197.600098", "6203.600098",
"6207.600098", "6210.200195", "6210.399902", "6215.399902",
"6215.500000", "6215.600098", "6225.200195", "6227.600098",
"6230.399902", "6232.100098", "6234.799805", "6240.899902",
"6241.500000", "6244.399902", "6244.500000", "6245.100098",
"6247.299805", "6247.600098", "6252.200195", "6253.899902",
"6258.100098", "6262.700195", "6265.799805", "6266.000000",
"6268.299805", "6268.399902", "6268.500000", "6268.899902",
"6272.299805", "6273.000000", "6275.700195", "6278.399902",
"6280.200195", "6284.399902", "6285.899902", "6286.000000",
"6293.100098", "6297.700195", "6299.600098", "6300.200195",
"6304.700195", "6310.899902", "6319.500000", "6328.299805",
"6329.000000", "6339.200195", "6345.000000", "6351.799805",
"6352.200195", "null"), class = "factor"), Adj.Close = structure(c(263L,
65L, 60L, 85L, 81L, 119L, 124L, 144L, 132L, 126L, 90L, 61L,
73L, 82L, 75L, 89L, 101L, 86L, 96L, 102L, 98L, 114L, 91L,
103L, 100L, 92L, 76L, 95L, 106L, 110L, 117L, 126L, 115L,
109L, 138L, 161L, 163L, 152L, 157L, 158L, 167L, 155L, 153L,
160L, 164L, 183L, 186L, 188L, 172L, 156L, 159L, 164L, 143L,
122L, 120L, 113L, 105L, 135L, 149L, 146L, 162L, 127L, 137L,
168L, 182L, 131L, 27L, 43L, 47L, 30L, 21L, 37L, 32L, 53L,
51L, 70L, 68L, 74L, 79L, 111L, 141L, 150L, 123L, 93L, 59L,
84L, 87L, 50L, 72L, 88L, 108L, 94L, 62L, 55L, 77L, 83L, 63L,
78L, 64L, 21L, 16L, 26L, 15L, 11L, 10L, 12L, 14L, 13L, 18L,
38L, 22L, 19L, 24L, 33L, 34L, 39L, 44L, 40L, 46L, 56L, 54L,
80L, 97L, 121L, 147L, 174L, 154L, 165L, 169L, 179L, 181L,
180L, 187L, 173L, 178L, 171L, 166L, 165L, 140L, 133L, 136L,
134L, 112L, 118L, 99L, 116L, 104L, 130L, 107L, 129L, 151L,
142L, 148L, 128L, 125L, 170L, 177L, 176L, 197L, 223L, 220L,
216L, 212L, 211L, 217L, 210L, 200L, 215L, 203L, 218L, 242L,
249L, 234L, 219L, 238L, 239L, 226L, 213L, 229L, 235L, 248L,
221L, 236L, 231L, 228L, 253L, 245L, 246L, 244L, 225L, 224L,
243L, 233L, 240L, 251L, 245L, 232L, 252L, 258L, 257L, 259L,
260L, 247L, 237L, 227L, 230L, 241L, 254L, 262L, 261L, 256L,
255L, 250L, 222L, 192L, 190L, 189L, 201L, 198L, 185L, 194L,
204L, 193L, 208L, 195L, 210L, 207L, 206L, 209L, 202L, 214L,
196L, 184L, 191L, 199L, 205L, 175L, 139L, 145L, 45L, 48L,
29L, 41L, 66L, 71L, 67L, 52L, 35L, 23L, 2L, 3L, 6L, 17L,
25L, 31L, 36L, 20L, 42L, 49L, 58L, 57L, 69L, 28L, 8L, 9L,
7L, 5L, 4L, 1L), .Label = c("5642.799805", "5664.100098",
"5665.200195", "5671.799805", "5693.700195", "5728.200195",
"5730.600098", "5732.799805", "5736.000000", "5751.899902",
"5759.399902", "5761.399902", "5788.700195", "5788.799805",
"5789.500000", "5790.500000", "5805.100098", "5808.700195",
"5815.500000", "5818.100098", "5820.700195", "5828.700195",
"5829.000000", "5829.100098", "5830.299805", "5832.299805",
"5833.299805", "5834.200195", "5837.100098", "5838.000000",
"5840.799805", "5841.200195", "5841.299805", "5841.500000",
"5843.100098", "5849.200195", "5855.899902", "5857.000000",
"5861.399902", "5868.799805", "5869.899902", "5875.200195",
"5876.799805", "5881.000000", "5883.799805", "5886.000000",
"5890.700195", "5895.700195", "5896.899902", "5902.000000",

"6262.700195", "6265.799805", "6266.000000", "6268.299805",
"6268.399902", "6268.500000", "6268.899902", "6272.299805",
"6273.000000", "6275.700195", "6278.399902", "6280.200195",
"6284.399902", "6285.899902", "6286.000000", "6293.100098",
"6297.700195", "6299.600098", "6300.200195", "6304.700195",
"6310.899902", "6319.500000", "6328.299805", "6329.000000",
"6339.200195", "6345.000000", "6351.799805", "6352.200195",
"null"), class = "factor"), Volume = structure(c(5L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0",
"34463900", "78246200", "7891300", "null"), class = "factor")), class = "data.frame", row.names = c(NA,


-269L))










share|improve this question

























  • Please include a reproducible example. You can show us the data using dput(axdata) and pasting in the results. That way we can help you better

    – RAB
    Nov 22 '18 at 7:03











  • @user10626943 I just included the data for you. Thanks

    – MrFizz
    Nov 22 '18 at 9:55











  • Your dput contains errors. Missing quotes and or data. From which stock quote does the data come from? That way I can download the data myself from yahoo

    – phiver
    Nov 22 '18 at 10:01











  • @phiver its from the S&P/ASX200 index. Here is a link to the the Yahoo download page. link

    – MrFizz
    Nov 22 '18 at 10:21
















-2












-2








-2








I have been attempting to import this Yahoo finance code and plot it using ggplot, but whenever I attempt to do it, the x axis shows multiple lines (as shown below). Also, as in the attached photo, I'm not sure why the dates are showing up this way. Thanks



x axis error



Here is the code



axdata <- read.csv("AXJO.csv")

axdata$Date <- as.Date(axdata$Date)

plt <- ggplot(axdata, aes(x =Date, y = axdata$Close))


Here is the data. I kept all the important details but removed a lot of the price data and dates to keep it to the character limit.



> dput(axdata)
structure(list(Date = structure(1:269, .Label = c("2017-10-30",
"2017-10-31", "2017-11-01", "2017-11-02", "2017-11-05", "2017-11-06",
"2017-11-07", "2017-11-08", "2017-11-09", "2017-11-12", "2017-11-13",
, "2018-11-07", "2018-11-08", "2018-11-11", "2018-11-12", "2018-11-13",
"2018-11-14", "2018-11-15", "2018-11-18", "2018-11-19", "2018-11-20"),
class = "factor"),
Open = structure(c(259L, 52L, 63L, 58L, 81L, 78L, 114L, 119L,
139L, 127L, 121L, 84L, 59L, 71L, 79L, 73L, 83L, 96L, 96L,
91L, 97L, 93L, 109L, 85L, 98L, 95L, 87L, 73L, 90L, 101L,
105L, 112L, 121L, 110L, 104L, 133L, 156L, 158L, 147L, 152L,
153L, 162L, 150L, 148L, 155L, 159L, 178L, 181L, 183L, 167L,
151L, 154L, 159L, 138L, 117L, 115L, 108L, 100L, 130L, 144L,
141L, 157L, 122L, 132L, 163L, 177L, 126L, 26L, 41L, 45L,
28L, 20L, 35L, 30L, 52L, 50L, 68L, 66L, 72L, 76L, 106L, 136L,
145L, 118L, 88L, 46L, 46L, 82L, 49L, 70L, 86L, 103L, 89L,
60L, 54L, 74L, 80L, 61L, 75L, 62L, 20L, 15L, 25L, 14L, 10L,
9L, 11L, 13L, 12L, 17L, 36L, 21L, 18L, 23L, 31L, 32L, 37L,
42L, 38L, 44L, 55L, 53L, 77L, 92L, 116L, 142L, 169L, 149L,
160L, 164L, 174L, 176L, 175L, 182L, 168L, 173L, 166L, 161L,
160L, 135L, 128L, 131L, 129L, 107L, 113L, 94L, 111L, 99L,
125L, 102L, 124L, 146L, 137L, 143L, 123L, 120L, 165L, 172L,
171L, 192L, 218L, 215L, 211L, 207L, 206L, 212L, 205L, 196L,
210L, 199L, 213L, 237L, 245L, 229L, 214L, 234L, 233L, 221L,
208L, 224L, 230L, 244L, 216L, 231L, 226L, 223L, 247L, 241L,
242L, 239L, 220L, 219L, 238L, 228L, 235L, 248L, 240L, 227L,
249L, 254L, 253L, 255L, 256L, 243L, 232L, 222L, 225L, 236L,
250L, 258L, 257L, 252L, 251L, 246L, 217L, 187L, 185L, 184L,
197L, 193L, 180L, 189L, 200L, 188L, 203L, 190L, 205L, 202L,
201L, 204L, 198L, 209L, 191L, 179L, 186L, 194L, 195L, 170L,
134L, 140L, 43L, 47L, 39L, 39L, 64L, 69L, 65L, 51L, 33L,
22L, 1L, 2L, 5L, 16L, 24L, 29L, 34L, 19L, 40L, 48L, 57L,
56L, 67L, 27L, 7L, 8L, 6L, 4L, 3L),
.Label = c("5664.100098",
"5665.200195", "5671.799805", "5693.700195", "5728.200195",
"5730.600098", "5732.799805", "5736.000000", "5751.899902",
"5759.399902", "5761.399902", "5788.700195", "5788.799805",
"5789.500000", "5790.500000", "5805.100098", "5808.700195",
"5815.500000", "5818.100098", "5820.700195", "5828.700195",
"5829.000000", "5829.100098", "5830.299805", "5832.299805",
"5833.299805", "5834.200195", "5838.000000", "5840.799805",
"5841.200195", "5841.299805", "5841.500000", "5843.100098",
"5849.200195", "5855.899902", "5857.000000", "5861.399902",
"5868.799805", "5869.899902", "5875.200195", "5876.799805",
"5881.000000", "5883.799805", "5886.000000", "5890.700195",
"5895.000000", "5895.700195", "5896.899902", "5902.000000",
"6094.299805", "6096.700195", "6097.799805", "6098.299805",
"6100.299805", "6102.100098", "6104.100098", "6107.000000",
"6108.000000", "6116.200195", "6118.700195", "6121.399902",
"6122.299805", "6126.200195", "6128.700195", "6130.399902",
"6135.299805", "6135.799805", "6141.700195", "6143.799805",
"6146.100098", "6160.399902", "6161.500000", "6165.299805",
"6169.500000", "6172.299805", "6172.600098", "6175.899902",
"6176.299805", "6177.399902", "6177.799805", "6179.700195",
"6181.200195", "6183.399902", "6185.000000", "6185.899902",
"6186.899902", "6190.000000", "6192.299805", "6194.600098",
"6195.899902", "6197.600098", "6203.600098", "6207.600098",
"6210.200195", "6210.399902", "6215.399902", "6215.500000",
.899902", "6286.000000", "6293.100098", "6297.000000",
"6297.700195","6299.600098",
"6304.700195", "6310.899902", "6319.500000", "6328.299805",
"6329.000000", "6338.399902", "6345.000000", "6351.799805",
"6352.200195", "null"), class = "factor"), High = structure(c(260L,
62L, 70L, 74L, 73L, 104L, 108L, 132L, 130L, 116L, 106L, 75L,
64L, 82L, 66L, 76L, 90L, 86L, 86L, 94L, 93L, 117L, 95L, 97L,
91L, 85L, 77L, 87L, 99L, 101L, 102L, 114L, 127L, 96L, 124L,
146L, 150L, 147L, 153L, 157L, 154L, 156L, 143L, 148L, 163L,
173L, 177L, 181L, 182L, 160L, 152L, 164L, 145L, 129L, 120L,
115L, 105L, 125L, 141L, 135L, 155L, 144L, 128L, 158L, 172L,
172L, 113L, 52L, 38L, 37L, 22L, 28L, 32L, 45L, 51L, 61L,
57L, 65L, 78L, 92L, 126L, 149L, 137L, 103L, 79L, 69L, 83L,
71L, 60L, 81L, 112L, 89L, 80L, 48L, 63L, 84L, 68L, 72L, 67L,
50L, 15L, 20L, 18L, 11L, 9L, 8L, 13L, 10L, 14L, 27L, 29L,
21L, 23L, 31L, 33L, 30L, 42L, 36L, 39L, 46L, 53L, 64L, 88L,
107L, 133L, 165L, 165L, 166L, 168L, 169L, 178L, 176L, 175L,
179L, 174L, 171L, 167L, 159L, 151L, 136L, 123L, 122L, 118L,
110L, 100L, 109L, 98L, 121L, 111L, 112L, 142L, 139L, 140L,
34L,
24L, 26L, 34L, 41L, 49L, 47L, 56L, 56L, 19L, 6L, 7L, 4L,
2L, 1L), .Label = c("5671.799805", "5693.700195", "5700.200195",
"5731.299805", "5737.600098", "5753.500000", "5757.899902",
"5764.299805", "5766.000000", "5799.200195", "5804.299805",
"5805.100098", "5806.000000", "5816.600098", "5820.700195",
"5829.000000", "5830.299805", "5832.299805", "5837.299805",
"5837.500000", "5837.899902", "5840.500000", "5844.700195",
"5849.200195", "5857.100098", "5857.399902", "5857.799805",
"5860.200195", "5864.000000", "5864.799805", "5867.600098",
"5868.100098", "5871.100098", "5877.200195", "5884.700195",
"5887.000000", "5890.700195", "5893.600098", "5894.700195",
05",
"6313.600098", "6314.899902", "6318.899902", "6329.000000",
"6331.000000", "6333.700195", "6345.399902", "6348.100098",
"6352.200195", "6355.200195", "6358.000000", "6373.500000",
"null"),
class = "factor"), Low = structure(c(263L, 67L,
79L, 80L, 90L, 96L, 121L, 136L, 139L, 129L, 97L, 82L, 73L,
86L, 76L, 88L, 100L, 99L, 95L, 107L, 105L, 111L, 92L, 102L,
109L, 91L, 84L, 87L, 106L, 114L, 123L, 126L, 130L, 113L,
122L, 149L, 159L, 158L, 160L, 166L, 163L, 156L, 146L, 161L,
165L, 169L, 186L, 191L, 177L, 157L, 164L, 167L, 152L, 133L,
135L, 125L, 116L, 116L, 147L, 144L, 154L, 137L, 117L, 148L,
171L, 134L, 24L, 39L, 41L, 20L, 23L, 29L, 38L, 42L, 64L,
57L, 70L, 74L, 78L, 94L, 124L, 153L, 132L, 98L, 63L, 58L,
58L, 59L, 60L, 85L, 103L, 93L, 77L, 66L, 75L, 81L, 72L, 83L,
68L, 27L, 17L, 22L, 18L, 13L, 9L, 12L, 14L, 15L, 16L, 19L,
36L, 26L, 30L, 37L, 43L, 44L, 48L, 49L, 50L, 52L, 65L, 69L,
89L, 108L, 128L, 155L, 162L, 163L, 174L, 173L, 182L, 184L,
L, 212L, 198L,
185L, 188L, 194L, 199L, 179L, 145L, 140L, 54L, 47L, 25L,
40L, 51L, 71L, 53L, 56L, 45L, 33L, 4L, 2L, 5L, 8L, 21L, 34L,
28L, 31L, 32L, 46L, 62L, 61L, 55L, 35L, 11L, 7L, 10L, 6L,
3L, 1L), .Label = c("5594.000000", "5624.600098", "5635.500000",
"5664.100098", "5665.200195", "5682.399902", "5686.799805",
66.799805",
"6167.700195", "6169.500000", "6172.600098", "6174.399902",
"6177.500000", "6177.799805", "6178.399902", "6179.799805",
"6181.200195", "6182.000000", "6182.500000", "6189.399902",
"6194.600098", "6199.899902", "6203.600098", "6204.299805",
"6209.600098", "6209.899902", "6214.500000", "6215.500000",
"6217.000000", "6224.899902", "6227.600098", "6230.399902",
"6230.899902", "6231.200195", "6234.799805", "6235.500000",
"6238.000000", "6239.600098", "6239.700195", "6240.899902",
"6242.500000", "6243.100098", "6244.399902", "6244.500000",
"6248.799805", "6251.100098", "6252.200195", "6253.899902",
"6254.799805", "6257.899902", "6258.399902", "6260.000000",
"6268.899902", "6269.100098", "6271.899902", "6272.299805",
"6274.700195", "6275.899902", "6276.299805", "6277.399902",
"6282.399902", "6303.000000", "6310.899902", "6316.600098",
"6319.500000", "6338.399902", "6348.200195", "null"), class = "factor"),
Close = structure(c(263L, 65L, 60L, 85L, 81L, 119L, 124L,
144L, 132L, 126L, 90L, 61L, 73L, 82L, 75L, 89L, 101L, 86L,
96L, 102L, 98L, 114L, 91L, 103L, 100L, 92L, 76L, 95L, 106L,
110L, 117L, 126L, 115L, 109L, 138L, 161L, 163L, 152L, 157L,
158L, 167L, 155L, 153L, 160L, 164L, 183L, 186L, 188L, 172L,
156L, 159L, 164L, 143L, 122L, 120L, 113L, 105L, 135L, 149L,
146L, 162L, 127L, 137L, 168L, 182L, 131L, 27L, 43L, 47L,
30L, 21L, 37L, 32L, 53L, 51L, 70L, 68L, 74L, 79L, 111L, 141L,
150L, 123L, 93L, 59L, 84L, 87L, 50L, 72L, 88L, 108L, 94L,
62L, 55L, 77L, 83L, 63L, 78L, 64L, 21L, 16L, 26L, 15L, 11L,
10L, 12L, 14L, 13L, 18L, 38L, 22L, 19L, 24L, 33L, 34L, 39L,
44L, 40L, 46L, 56L, 54L, 80L, 97L, 121L, 147L, 174L, 154L,
165L, 169L, 179L, 181L, 180L, 187L, 173L, 178L, 171L, 166L,
165L, 140L, 133L, 136L, 134L, 112L, 118L, 99L, 116L, 104L,
130L, 107L, 129L, 151L, 142L, 148L, 128L, 125L, 170L, 177L,
176L, 197L, 223L, 220L, 216L, 212L, 211L, 217L, 210L, 200L,
215L, 203L, 218L, 242L, 249L, 234L, 219L, 238L, 239L, 226L,
213L, 229L, 235L, 248L, 221L, 236L, 231L, 228L, 253L, 245L,
246L, 244L, 225L, 224L, 243L, 233L, 240L, 251L, 245L, 232L,
252L, 258L, 257L, 259L, 260L, 247L, 237L, 227L, 230L, 241L,
254L, 262L, 261L, 256L, 255L, 250L, 222L, 192L, 190L, 189L,
201L, 198L, 185L, 194L, 204L, 193L, 208L, 195L, 210L, 207L,
206L, 209L, 202L, 214L, 196L, 184L, 191L, 199L, 205L, 175L,
139L, 145L, 45L, 48L, 29L, 41L, 66L, 71L, 67L, 52L, 35L,
23L, 2L, 3L, 6L, 17L, 25L, 31L, 36L, 20L, 42L, 49L, 58L,
57L, 69L, 28L, 8L, 9L, 7L, 5L, 4L, 1L), .Label = c("5642.799805",
"5664.100098", "5665.200195", "5671.799805", "5693.700195",
"5728.200195", "5730.600098", "5732.799805", "5736.000000",
"5751.899902", "5759.399902", "5761.399902", "5788.700195",
"5788.799805", "5789.500000", "5790.500000", "5805.100098",
"5808.700195", "5815.500000", "5818.100098", "5820.700195",
"5828.700195", "5829.000000", "5829.100098", "5830.299805",
"5832.299805", "5833.299805", "5834.200195", "5837.100098",
"
"5939.100098", "5939.500000", "5940.899902", "5941.299805",
"5941.600098", "5942.399902", "5942.899902", "5943.500000",
"5943.700195", "5945.700195", "5946.100098", "5949.399902",
"5950.299805", "5950.899902", "5953.600098", "5953.799805",
"5957.299805", "5959.399902", "5959.500000", "5959.899902",
"5960.600098", "5962.399902", "5963.200195", "5963.500000",
"5966.000000", "5969.899902", "5971.700195", "5973.299805",
"5974.700195", "5977.700195", "5982.600098", "5982.700195",
"5984.299805", "5984.700195", "5985.600098", "5986.399902",
"5988.799805", "5989.799805", "5990.399902", "5991.899902",
"5994.399902", "5994.899902", "5996.100098", "5997.000000",
"5998.299805", "5999.799805", "6004.000000", "6005.799805",
"6011.100098", "6011.299805", "6011.899902", "6013.200195",
"6013.600098", "6014.299805", "6014.600098", "6015.200195",
"6015.799805", "6016.000000", "6016.299805", "6016.600098",
"6021.799805", "6022.799805", "6023.500000", "6025.100098",
"6025.500000", "6026.200195", "6029.399902", "6032.500000",
"6032.799805", "6037.000000", "6037.100098", "6037.700195",
"6038.899902", "6041.100098", "6041.899902", "6042.200195",
"6045.200195", "6048.600098", "6049.399902", "6049.799805",
"6050.000000", "6050.200195", "6054.399902", "6054.700195",
"6056.899902", "6057.299805", "6060.399902", "6061.299805",
"6062.899902", "6065.100098", "6067.600098", "6069.700195",
"6069.899902", "6070.100098", "6070.399902", "6071.799805",
"6075.399902", "6075.600098", "6077.100098", "6084.500000",
"6087.399902", "6088.100098", "6090.100098", "6091.899902",
"6094.000000", "6094.299805", "6096.700195", "6097.799805",
"6098.299805", "6100.299805", "6102.100098", "6104.100098",
"6107.000000", "6108.000000", "6116.200195", "6118.700195",
"6121.399902", "6122.299805", "6126.200195", "6128.700195",
"6130.399902", "6135.299805", "6135.799805", "6141.700195",
"6143.799805", "6146.100098", "6160.399902", "6161.500000",
"6165.299805", "6169.500000", "6172.299805", "6172.600098",
"6175.899902", "6176.299805", "6177.799805", "6179.700195",
"6181.200195", "6183.399902", "6185.000000", "6185.500000",
"6185.899902", "6186.899902", "6190.000000", "6192.299805",
"6194.600098", "6195.899902", "6197.600098", "6203.600098",
"6207.600098", "6210.200195", "6210.399902", "6215.399902",
"6215.500000", "6215.600098", "6225.200195", "6227.600098",
"6230.399902", "6232.100098", "6234.799805", "6240.899902",
"6241.500000", "6244.399902", "6244.500000", "6245.100098",
"6247.299805", "6247.600098", "6252.200195", "6253.899902",
"6258.100098", "6262.700195", "6265.799805", "6266.000000",
"6268.299805", "6268.399902", "6268.500000", "6268.899902",
"6272.299805", "6273.000000", "6275.700195", "6278.399902",
"6280.200195", "6284.399902", "6285.899902", "6286.000000",
"6293.100098", "6297.700195", "6299.600098", "6300.200195",
"6304.700195", "6310.899902", "6319.500000", "6328.299805",
"6329.000000", "6339.200195", "6345.000000", "6351.799805",
"6352.200195", "null"), class = "factor"), Adj.Close = structure(c(263L,
65L, 60L, 85L, 81L, 119L, 124L, 144L, 132L, 126L, 90L, 61L,
73L, 82L, 75L, 89L, 101L, 86L, 96L, 102L, 98L, 114L, 91L,
103L, 100L, 92L, 76L, 95L, 106L, 110L, 117L, 126L, 115L,
109L, 138L, 161L, 163L, 152L, 157L, 158L, 167L, 155L, 153L,
160L, 164L, 183L, 186L, 188L, 172L, 156L, 159L, 164L, 143L,
122L, 120L, 113L, 105L, 135L, 149L, 146L, 162L, 127L, 137L,
168L, 182L, 131L, 27L, 43L, 47L, 30L, 21L, 37L, 32L, 53L,
51L, 70L, 68L, 74L, 79L, 111L, 141L, 150L, 123L, 93L, 59L,
84L, 87L, 50L, 72L, 88L, 108L, 94L, 62L, 55L, 77L, 83L, 63L,
78L, 64L, 21L, 16L, 26L, 15L, 11L, 10L, 12L, 14L, 13L, 18L,
38L, 22L, 19L, 24L, 33L, 34L, 39L, 44L, 40L, 46L, 56L, 54L,
80L, 97L, 121L, 147L, 174L, 154L, 165L, 169L, 179L, 181L,
180L, 187L, 173L, 178L, 171L, 166L, 165L, 140L, 133L, 136L,
134L, 112L, 118L, 99L, 116L, 104L, 130L, 107L, 129L, 151L,
142L, 148L, 128L, 125L, 170L, 177L, 176L, 197L, 223L, 220L,
216L, 212L, 211L, 217L, 210L, 200L, 215L, 203L, 218L, 242L,
249L, 234L, 219L, 238L, 239L, 226L, 213L, 229L, 235L, 248L,
221L, 236L, 231L, 228L, 253L, 245L, 246L, 244L, 225L, 224L,
243L, 233L, 240L, 251L, 245L, 232L, 252L, 258L, 257L, 259L,
260L, 247L, 237L, 227L, 230L, 241L, 254L, 262L, 261L, 256L,
255L, 250L, 222L, 192L, 190L, 189L, 201L, 198L, 185L, 194L,
204L, 193L, 208L, 195L, 210L, 207L, 206L, 209L, 202L, 214L,
196L, 184L, 191L, 199L, 205L, 175L, 139L, 145L, 45L, 48L,
29L, 41L, 66L, 71L, 67L, 52L, 35L, 23L, 2L, 3L, 6L, 17L,
25L, 31L, 36L, 20L, 42L, 49L, 58L, 57L, 69L, 28L, 8L, 9L,
7L, 5L, 4L, 1L), .Label = c("5642.799805", "5664.100098",
"5665.200195", "5671.799805", "5693.700195", "5728.200195",
"5730.600098", "5732.799805", "5736.000000", "5751.899902",
"5759.399902", "5761.399902", "5788.700195", "5788.799805",
"5789.500000", "5790.500000", "5805.100098", "5808.700195",
"5815.500000", "5818.100098", "5820.700195", "5828.700195",
"5829.000000", "5829.100098", "5830.299805", "5832.299805",
"5833.299805", "5834.200195", "5837.100098", "5838.000000",
"5840.799805", "5841.200195", "5841.299805", "5841.500000",
"5843.100098", "5849.200195", "5855.899902", "5857.000000",
"5861.399902", "5868.799805", "5869.899902", "5875.200195",
"5876.799805", "5881.000000", "5883.799805", "5886.000000",
"5890.700195", "5895.700195", "5896.899902", "5902.000000",

"6262.700195", "6265.799805", "6266.000000", "6268.299805",
"6268.399902", "6268.500000", "6268.899902", "6272.299805",
"6273.000000", "6275.700195", "6278.399902", "6280.200195",
"6284.399902", "6285.899902", "6286.000000", "6293.100098",
"6297.700195", "6299.600098", "6300.200195", "6304.700195",
"6310.899902", "6319.500000", "6328.299805", "6329.000000",
"6339.200195", "6345.000000", "6351.799805", "6352.200195",
"null"), class = "factor"), Volume = structure(c(5L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0",
"34463900", "78246200", "7891300", "null"), class = "factor")), class = "data.frame", row.names = c(NA,


-269L))










share|improve this question
















I have been attempting to import this Yahoo finance code and plot it using ggplot, but whenever I attempt to do it, the x axis shows multiple lines (as shown below). Also, as in the attached photo, I'm not sure why the dates are showing up this way. Thanks



x axis error



Here is the code



axdata <- read.csv("AXJO.csv")

axdata$Date <- as.Date(axdata$Date)

plt <- ggplot(axdata, aes(x =Date, y = axdata$Close))


Here is the data. I kept all the important details but removed a lot of the price data and dates to keep it to the character limit.



> dput(axdata)
structure(list(Date = structure(1:269, .Label = c("2017-10-30",
"2017-10-31", "2017-11-01", "2017-11-02", "2017-11-05", "2017-11-06",
"2017-11-07", "2017-11-08", "2017-11-09", "2017-11-12", "2017-11-13",
, "2018-11-07", "2018-11-08", "2018-11-11", "2018-11-12", "2018-11-13",
"2018-11-14", "2018-11-15", "2018-11-18", "2018-11-19", "2018-11-20"),
class = "factor"),
Open = structure(c(259L, 52L, 63L, 58L, 81L, 78L, 114L, 119L,
139L, 127L, 121L, 84L, 59L, 71L, 79L, 73L, 83L, 96L, 96L,
91L, 97L, 93L, 109L, 85L, 98L, 95L, 87L, 73L, 90L, 101L,
105L, 112L, 121L, 110L, 104L, 133L, 156L, 158L, 147L, 152L,
153L, 162L, 150L, 148L, 155L, 159L, 178L, 181L, 183L, 167L,
151L, 154L, 159L, 138L, 117L, 115L, 108L, 100L, 130L, 144L,
141L, 157L, 122L, 132L, 163L, 177L, 126L, 26L, 41L, 45L,
28L, 20L, 35L, 30L, 52L, 50L, 68L, 66L, 72L, 76L, 106L, 136L,
145L, 118L, 88L, 46L, 46L, 82L, 49L, 70L, 86L, 103L, 89L,
60L, 54L, 74L, 80L, 61L, 75L, 62L, 20L, 15L, 25L, 14L, 10L,
9L, 11L, 13L, 12L, 17L, 36L, 21L, 18L, 23L, 31L, 32L, 37L,
42L, 38L, 44L, 55L, 53L, 77L, 92L, 116L, 142L, 169L, 149L,
160L, 164L, 174L, 176L, 175L, 182L, 168L, 173L, 166L, 161L,
160L, 135L, 128L, 131L, 129L, 107L, 113L, 94L, 111L, 99L,
125L, 102L, 124L, 146L, 137L, 143L, 123L, 120L, 165L, 172L,
171L, 192L, 218L, 215L, 211L, 207L, 206L, 212L, 205L, 196L,
210L, 199L, 213L, 237L, 245L, 229L, 214L, 234L, 233L, 221L,
208L, 224L, 230L, 244L, 216L, 231L, 226L, 223L, 247L, 241L,
242L, 239L, 220L, 219L, 238L, 228L, 235L, 248L, 240L, 227L,
249L, 254L, 253L, 255L, 256L, 243L, 232L, 222L, 225L, 236L,
250L, 258L, 257L, 252L, 251L, 246L, 217L, 187L, 185L, 184L,
197L, 193L, 180L, 189L, 200L, 188L, 203L, 190L, 205L, 202L,
201L, 204L, 198L, 209L, 191L, 179L, 186L, 194L, 195L, 170L,
134L, 140L, 43L, 47L, 39L, 39L, 64L, 69L, 65L, 51L, 33L,
22L, 1L, 2L, 5L, 16L, 24L, 29L, 34L, 19L, 40L, 48L, 57L,
56L, 67L, 27L, 7L, 8L, 6L, 4L, 3L),
.Label = c("5664.100098",
"5665.200195", "5671.799805", "5693.700195", "5728.200195",
"5730.600098", "5732.799805", "5736.000000", "5751.899902",
"5759.399902", "5761.399902", "5788.700195", "5788.799805",
"5789.500000", "5790.500000", "5805.100098", "5808.700195",
"5815.500000", "5818.100098", "5820.700195", "5828.700195",
"5829.000000", "5829.100098", "5830.299805", "5832.299805",
"5833.299805", "5834.200195", "5838.000000", "5840.799805",
"5841.200195", "5841.299805", "5841.500000", "5843.100098",
"5849.200195", "5855.899902", "5857.000000", "5861.399902",
"5868.799805", "5869.899902", "5875.200195", "5876.799805",
"5881.000000", "5883.799805", "5886.000000", "5890.700195",
"5895.000000", "5895.700195", "5896.899902", "5902.000000",
"6094.299805", "6096.700195", "6097.799805", "6098.299805",
"6100.299805", "6102.100098", "6104.100098", "6107.000000",
"6108.000000", "6116.200195", "6118.700195", "6121.399902",
"6122.299805", "6126.200195", "6128.700195", "6130.399902",
"6135.299805", "6135.799805", "6141.700195", "6143.799805",
"6146.100098", "6160.399902", "6161.500000", "6165.299805",
"6169.500000", "6172.299805", "6172.600098", "6175.899902",
"6176.299805", "6177.399902", "6177.799805", "6179.700195",
"6181.200195", "6183.399902", "6185.000000", "6185.899902",
"6186.899902", "6190.000000", "6192.299805", "6194.600098",
"6195.899902", "6197.600098", "6203.600098", "6207.600098",
"6210.200195", "6210.399902", "6215.399902", "6215.500000",
.899902", "6286.000000", "6293.100098", "6297.000000",
"6297.700195","6299.600098",
"6304.700195", "6310.899902", "6319.500000", "6328.299805",
"6329.000000", "6338.399902", "6345.000000", "6351.799805",
"6352.200195", "null"), class = "factor"), High = structure(c(260L,
62L, 70L, 74L, 73L, 104L, 108L, 132L, 130L, 116L, 106L, 75L,
64L, 82L, 66L, 76L, 90L, 86L, 86L, 94L, 93L, 117L, 95L, 97L,
91L, 85L, 77L, 87L, 99L, 101L, 102L, 114L, 127L, 96L, 124L,
146L, 150L, 147L, 153L, 157L, 154L, 156L, 143L, 148L, 163L,
173L, 177L, 181L, 182L, 160L, 152L, 164L, 145L, 129L, 120L,
115L, 105L, 125L, 141L, 135L, 155L, 144L, 128L, 158L, 172L,
172L, 113L, 52L, 38L, 37L, 22L, 28L, 32L, 45L, 51L, 61L,
57L, 65L, 78L, 92L, 126L, 149L, 137L, 103L, 79L, 69L, 83L,
71L, 60L, 81L, 112L, 89L, 80L, 48L, 63L, 84L, 68L, 72L, 67L,
50L, 15L, 20L, 18L, 11L, 9L, 8L, 13L, 10L, 14L, 27L, 29L,
21L, 23L, 31L, 33L, 30L, 42L, 36L, 39L, 46L, 53L, 64L, 88L,
107L, 133L, 165L, 165L, 166L, 168L, 169L, 178L, 176L, 175L,
179L, 174L, 171L, 167L, 159L, 151L, 136L, 123L, 122L, 118L,
110L, 100L, 109L, 98L, 121L, 111L, 112L, 142L, 139L, 140L,
34L,
24L, 26L, 34L, 41L, 49L, 47L, 56L, 56L, 19L, 6L, 7L, 4L,
2L, 1L), .Label = c("5671.799805", "5693.700195", "5700.200195",
"5731.299805", "5737.600098", "5753.500000", "5757.899902",
"5764.299805", "5766.000000", "5799.200195", "5804.299805",
"5805.100098", "5806.000000", "5816.600098", "5820.700195",
"5829.000000", "5830.299805", "5832.299805", "5837.299805",
"5837.500000", "5837.899902", "5840.500000", "5844.700195",
"5849.200195", "5857.100098", "5857.399902", "5857.799805",
"5860.200195", "5864.000000", "5864.799805", "5867.600098",
"5868.100098", "5871.100098", "5877.200195", "5884.700195",
"5887.000000", "5890.700195", "5893.600098", "5894.700195",
05",
"6313.600098", "6314.899902", "6318.899902", "6329.000000",
"6331.000000", "6333.700195", "6345.399902", "6348.100098",
"6352.200195", "6355.200195", "6358.000000", "6373.500000",
"null"),
class = "factor"), Low = structure(c(263L, 67L,
79L, 80L, 90L, 96L, 121L, 136L, 139L, 129L, 97L, 82L, 73L,
86L, 76L, 88L, 100L, 99L, 95L, 107L, 105L, 111L, 92L, 102L,
109L, 91L, 84L, 87L, 106L, 114L, 123L, 126L, 130L, 113L,
122L, 149L, 159L, 158L, 160L, 166L, 163L, 156L, 146L, 161L,
165L, 169L, 186L, 191L, 177L, 157L, 164L, 167L, 152L, 133L,
135L, 125L, 116L, 116L, 147L, 144L, 154L, 137L, 117L, 148L,
171L, 134L, 24L, 39L, 41L, 20L, 23L, 29L, 38L, 42L, 64L,
57L, 70L, 74L, 78L, 94L, 124L, 153L, 132L, 98L, 63L, 58L,
58L, 59L, 60L, 85L, 103L, 93L, 77L, 66L, 75L, 81L, 72L, 83L,
68L, 27L, 17L, 22L, 18L, 13L, 9L, 12L, 14L, 15L, 16L, 19L,
36L, 26L, 30L, 37L, 43L, 44L, 48L, 49L, 50L, 52L, 65L, 69L,
89L, 108L, 128L, 155L, 162L, 163L, 174L, 173L, 182L, 184L,
L, 212L, 198L,
185L, 188L, 194L, 199L, 179L, 145L, 140L, 54L, 47L, 25L,
40L, 51L, 71L, 53L, 56L, 45L, 33L, 4L, 2L, 5L, 8L, 21L, 34L,
28L, 31L, 32L, 46L, 62L, 61L, 55L, 35L, 11L, 7L, 10L, 6L,
3L, 1L), .Label = c("5594.000000", "5624.600098", "5635.500000",
"5664.100098", "5665.200195", "5682.399902", "5686.799805",
66.799805",
"6167.700195", "6169.500000", "6172.600098", "6174.399902",
"6177.500000", "6177.799805", "6178.399902", "6179.799805",
"6181.200195", "6182.000000", "6182.500000", "6189.399902",
"6194.600098", "6199.899902", "6203.600098", "6204.299805",
"6209.600098", "6209.899902", "6214.500000", "6215.500000",
"6217.000000", "6224.899902", "6227.600098", "6230.399902",
"6230.899902", "6231.200195", "6234.799805", "6235.500000",
"6238.000000", "6239.600098", "6239.700195", "6240.899902",
"6242.500000", "6243.100098", "6244.399902", "6244.500000",
"6248.799805", "6251.100098", "6252.200195", "6253.899902",
"6254.799805", "6257.899902", "6258.399902", "6260.000000",
"6268.899902", "6269.100098", "6271.899902", "6272.299805",
"6274.700195", "6275.899902", "6276.299805", "6277.399902",
"6282.399902", "6303.000000", "6310.899902", "6316.600098",
"6319.500000", "6338.399902", "6348.200195", "null"), class = "factor"),
Close = structure(c(263L, 65L, 60L, 85L, 81L, 119L, 124L,
144L, 132L, 126L, 90L, 61L, 73L, 82L, 75L, 89L, 101L, 86L,
96L, 102L, 98L, 114L, 91L, 103L, 100L, 92L, 76L, 95L, 106L,
110L, 117L, 126L, 115L, 109L, 138L, 161L, 163L, 152L, 157L,
158L, 167L, 155L, 153L, 160L, 164L, 183L, 186L, 188L, 172L,
156L, 159L, 164L, 143L, 122L, 120L, 113L, 105L, 135L, 149L,
146L, 162L, 127L, 137L, 168L, 182L, 131L, 27L, 43L, 47L,
30L, 21L, 37L, 32L, 53L, 51L, 70L, 68L, 74L, 79L, 111L, 141L,
150L, 123L, 93L, 59L, 84L, 87L, 50L, 72L, 88L, 108L, 94L,
62L, 55L, 77L, 83L, 63L, 78L, 64L, 21L, 16L, 26L, 15L, 11L,
10L, 12L, 14L, 13L, 18L, 38L, 22L, 19L, 24L, 33L, 34L, 39L,
44L, 40L, 46L, 56L, 54L, 80L, 97L, 121L, 147L, 174L, 154L,
165L, 169L, 179L, 181L, 180L, 187L, 173L, 178L, 171L, 166L,
165L, 140L, 133L, 136L, 134L, 112L, 118L, 99L, 116L, 104L,
130L, 107L, 129L, 151L, 142L, 148L, 128L, 125L, 170L, 177L,
176L, 197L, 223L, 220L, 216L, 212L, 211L, 217L, 210L, 200L,
215L, 203L, 218L, 242L, 249L, 234L, 219L, 238L, 239L, 226L,
213L, 229L, 235L, 248L, 221L, 236L, 231L, 228L, 253L, 245L,
246L, 244L, 225L, 224L, 243L, 233L, 240L, 251L, 245L, 232L,
252L, 258L, 257L, 259L, 260L, 247L, 237L, 227L, 230L, 241L,
254L, 262L, 261L, 256L, 255L, 250L, 222L, 192L, 190L, 189L,
201L, 198L, 185L, 194L, 204L, 193L, 208L, 195L, 210L, 207L,
206L, 209L, 202L, 214L, 196L, 184L, 191L, 199L, 205L, 175L,
139L, 145L, 45L, 48L, 29L, 41L, 66L, 71L, 67L, 52L, 35L,
23L, 2L, 3L, 6L, 17L, 25L, 31L, 36L, 20L, 42L, 49L, 58L,
57L, 69L, 28L, 8L, 9L, 7L, 5L, 4L, 1L), .Label = c("5642.799805",
"5664.100098", "5665.200195", "5671.799805", "5693.700195",
"5728.200195", "5730.600098", "5732.799805", "5736.000000",
"5751.899902", "5759.399902", "5761.399902", "5788.700195",
"5788.799805", "5789.500000", "5790.500000", "5805.100098",
"5808.700195", "5815.500000", "5818.100098", "5820.700195",
"5828.700195", "5829.000000", "5829.100098", "5830.299805",
"5832.299805", "5833.299805", "5834.200195", "5837.100098",
"
"5939.100098", "5939.500000", "5940.899902", "5941.299805",
"5941.600098", "5942.399902", "5942.899902", "5943.500000",
"5943.700195", "5945.700195", "5946.100098", "5949.399902",
"5950.299805", "5950.899902", "5953.600098", "5953.799805",
"5957.299805", "5959.399902", "5959.500000", "5959.899902",
"5960.600098", "5962.399902", "5963.200195", "5963.500000",
"5966.000000", "5969.899902", "5971.700195", "5973.299805",
"5974.700195", "5977.700195", "5982.600098", "5982.700195",
"5984.299805", "5984.700195", "5985.600098", "5986.399902",
"5988.799805", "5989.799805", "5990.399902", "5991.899902",
"5994.399902", "5994.899902", "5996.100098", "5997.000000",
"5998.299805", "5999.799805", "6004.000000", "6005.799805",
"6011.100098", "6011.299805", "6011.899902", "6013.200195",
"6013.600098", "6014.299805", "6014.600098", "6015.200195",
"6015.799805", "6016.000000", "6016.299805", "6016.600098",
"6021.799805", "6022.799805", "6023.500000", "6025.100098",
"6025.500000", "6026.200195", "6029.399902", "6032.500000",
"6032.799805", "6037.000000", "6037.100098", "6037.700195",
"6038.899902", "6041.100098", "6041.899902", "6042.200195",
"6045.200195", "6048.600098", "6049.399902", "6049.799805",
"6050.000000", "6050.200195", "6054.399902", "6054.700195",
"6056.899902", "6057.299805", "6060.399902", "6061.299805",
"6062.899902", "6065.100098", "6067.600098", "6069.700195",
"6069.899902", "6070.100098", "6070.399902", "6071.799805",
"6075.399902", "6075.600098", "6077.100098", "6084.500000",
"6087.399902", "6088.100098", "6090.100098", "6091.899902",
"6094.000000", "6094.299805", "6096.700195", "6097.799805",
"6098.299805", "6100.299805", "6102.100098", "6104.100098",
"6107.000000", "6108.000000", "6116.200195", "6118.700195",
"6121.399902", "6122.299805", "6126.200195", "6128.700195",
"6130.399902", "6135.299805", "6135.799805", "6141.700195",
"6143.799805", "6146.100098", "6160.399902", "6161.500000",
"6165.299805", "6169.500000", "6172.299805", "6172.600098",
"6175.899902", "6176.299805", "6177.799805", "6179.700195",
"6181.200195", "6183.399902", "6185.000000", "6185.500000",
"6185.899902", "6186.899902", "6190.000000", "6192.299805",
"6194.600098", "6195.899902", "6197.600098", "6203.600098",
"6207.600098", "6210.200195", "6210.399902", "6215.399902",
"6215.500000", "6215.600098", "6225.200195", "6227.600098",
"6230.399902", "6232.100098", "6234.799805", "6240.899902",
"6241.500000", "6244.399902", "6244.500000", "6245.100098",
"6247.299805", "6247.600098", "6252.200195", "6253.899902",
"6258.100098", "6262.700195", "6265.799805", "6266.000000",
"6268.299805", "6268.399902", "6268.500000", "6268.899902",
"6272.299805", "6273.000000", "6275.700195", "6278.399902",
"6280.200195", "6284.399902", "6285.899902", "6286.000000",
"6293.100098", "6297.700195", "6299.600098", "6300.200195",
"6304.700195", "6310.899902", "6319.500000", "6328.299805",
"6329.000000", "6339.200195", "6345.000000", "6351.799805",
"6352.200195", "null"), class = "factor"), Adj.Close = structure(c(263L,
65L, 60L, 85L, 81L, 119L, 124L, 144L, 132L, 126L, 90L, 61L,
73L, 82L, 75L, 89L, 101L, 86L, 96L, 102L, 98L, 114L, 91L,
103L, 100L, 92L, 76L, 95L, 106L, 110L, 117L, 126L, 115L,
109L, 138L, 161L, 163L, 152L, 157L, 158L, 167L, 155L, 153L,
160L, 164L, 183L, 186L, 188L, 172L, 156L, 159L, 164L, 143L,
122L, 120L, 113L, 105L, 135L, 149L, 146L, 162L, 127L, 137L,
168L, 182L, 131L, 27L, 43L, 47L, 30L, 21L, 37L, 32L, 53L,
51L, 70L, 68L, 74L, 79L, 111L, 141L, 150L, 123L, 93L, 59L,
84L, 87L, 50L, 72L, 88L, 108L, 94L, 62L, 55L, 77L, 83L, 63L,
78L, 64L, 21L, 16L, 26L, 15L, 11L, 10L, 12L, 14L, 13L, 18L,
38L, 22L, 19L, 24L, 33L, 34L, 39L, 44L, 40L, 46L, 56L, 54L,
80L, 97L, 121L, 147L, 174L, 154L, 165L, 169L, 179L, 181L,
180L, 187L, 173L, 178L, 171L, 166L, 165L, 140L, 133L, 136L,
134L, 112L, 118L, 99L, 116L, 104L, 130L, 107L, 129L, 151L,
142L, 148L, 128L, 125L, 170L, 177L, 176L, 197L, 223L, 220L,
216L, 212L, 211L, 217L, 210L, 200L, 215L, 203L, 218L, 242L,
249L, 234L, 219L, 238L, 239L, 226L, 213L, 229L, 235L, 248L,
221L, 236L, 231L, 228L, 253L, 245L, 246L, 244L, 225L, 224L,
243L, 233L, 240L, 251L, 245L, 232L, 252L, 258L, 257L, 259L,
260L, 247L, 237L, 227L, 230L, 241L, 254L, 262L, 261L, 256L,
255L, 250L, 222L, 192L, 190L, 189L, 201L, 198L, 185L, 194L,
204L, 193L, 208L, 195L, 210L, 207L, 206L, 209L, 202L, 214L,
196L, 184L, 191L, 199L, 205L, 175L, 139L, 145L, 45L, 48L,
29L, 41L, 66L, 71L, 67L, 52L, 35L, 23L, 2L, 3L, 6L, 17L,
25L, 31L, 36L, 20L, 42L, 49L, 58L, 57L, 69L, 28L, 8L, 9L,
7L, 5L, 4L, 1L), .Label = c("5642.799805", "5664.100098",
"5665.200195", "5671.799805", "5693.700195", "5728.200195",
"5730.600098", "5732.799805", "5736.000000", "5751.899902",
"5759.399902", "5761.399902", "5788.700195", "5788.799805",
"5789.500000", "5790.500000", "5805.100098", "5808.700195",
"5815.500000", "5818.100098", "5820.700195", "5828.700195",
"5829.000000", "5829.100098", "5830.299805", "5832.299805",
"5833.299805", "5834.200195", "5837.100098", "5838.000000",
"5840.799805", "5841.200195", "5841.299805", "5841.500000",
"5843.100098", "5849.200195", "5855.899902", "5857.000000",
"5861.399902", "5868.799805", "5869.899902", "5875.200195",
"5876.799805", "5881.000000", "5883.799805", "5886.000000",
"5890.700195", "5895.700195", "5896.899902", "5902.000000",

"6262.700195", "6265.799805", "6266.000000", "6268.299805",
"6268.399902", "6268.500000", "6268.899902", "6272.299805",
"6273.000000", "6275.700195", "6278.399902", "6280.200195",
"6284.399902", "6285.899902", "6286.000000", "6293.100098",
"6297.700195", "6299.600098", "6300.200195", "6304.700195",
"6310.899902", "6319.500000", "6328.299805", "6329.000000",
"6339.200195", "6345.000000", "6351.799805", "6352.200195",
"null"), class = "factor"), Volume = structure(c(5L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0",
"34463900", "78246200", "7891300", "null"), class = "factor")), class = "data.frame", row.names = c(NA,


-269L))







r ggplot2






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 22 '18 at 9:54







MrFizz

















asked Nov 22 '18 at 6:23









MrFizzMrFizz

11




11













  • Please include a reproducible example. You can show us the data using dput(axdata) and pasting in the results. That way we can help you better

    – RAB
    Nov 22 '18 at 7:03











  • @user10626943 I just included the data for you. Thanks

    – MrFizz
    Nov 22 '18 at 9:55











  • Your dput contains errors. Missing quotes and or data. From which stock quote does the data come from? That way I can download the data myself from yahoo

    – phiver
    Nov 22 '18 at 10:01











  • @phiver its from the S&P/ASX200 index. Here is a link to the the Yahoo download page. link

    – MrFizz
    Nov 22 '18 at 10:21





















  • Please include a reproducible example. You can show us the data using dput(axdata) and pasting in the results. That way we can help you better

    – RAB
    Nov 22 '18 at 7:03











  • @user10626943 I just included the data for you. Thanks

    – MrFizz
    Nov 22 '18 at 9:55











  • Your dput contains errors. Missing quotes and or data. From which stock quote does the data come from? That way I can download the data myself from yahoo

    – phiver
    Nov 22 '18 at 10:01











  • @phiver its from the S&P/ASX200 index. Here is a link to the the Yahoo download page. link

    – MrFizz
    Nov 22 '18 at 10:21



















Please include a reproducible example. You can show us the data using dput(axdata) and pasting in the results. That way we can help you better

– RAB
Nov 22 '18 at 7:03





Please include a reproducible example. You can show us the data using dput(axdata) and pasting in the results. That way we can help you better

– RAB
Nov 22 '18 at 7:03













@user10626943 I just included the data for you. Thanks

– MrFizz
Nov 22 '18 at 9:55





@user10626943 I just included the data for you. Thanks

– MrFizz
Nov 22 '18 at 9:55













Your dput contains errors. Missing quotes and or data. From which stock quote does the data come from? That way I can download the data myself from yahoo

– phiver
Nov 22 '18 at 10:01





Your dput contains errors. Missing quotes and or data. From which stock quote does the data come from? That way I can download the data myself from yahoo

– phiver
Nov 22 '18 at 10:01













@phiver its from the S&P/ASX200 index. Here is a link to the the Yahoo download page. link

– MrFizz
Nov 22 '18 at 10:21







@phiver its from the S&P/ASX200 index. Here is a link to the the Yahoo download page. link

– MrFizz
Nov 22 '18 at 10:21














1 Answer
1






active

oldest

votes


















0














First of all, looks like you have an issue with reading in your data. All your fields have been read in as a character instead of numbers. You need to check what is going on there.



Secondly, if you are going to load yahoo data, you can use the quantmod package.



library(quantmod)

# get the data
axdata <- getSymbols("^AXJO", from = "2018-09-01", auto.assign = FALSE)


plot the data:



chartSeries(axdata)


Or it you want to work in tidy data the tidyquant package. But that also installs quite a few other packages, but you will get some extra functions like geom_candlestick so you can plot stock data in ggplot2.



library(tidyquant)

axdata2 <- tq_get("^AXJO", from = "2018-09-01")

axdata2 %>%
ggplot(aes(x = date, y = close)) +
geom_line()





share|improve this answer























    Your Answer






    StackExchange.ifUsing("editor", function () {
    StackExchange.using("externalEditor", function () {
    StackExchange.using("snippets", function () {
    StackExchange.snippets.init();
    });
    });
    }, "code-snippets");

    StackExchange.ready(function() {
    var channelOptions = {
    tags: "".split(" "),
    id: "1"
    };
    initTagRenderer("".split(" "), "".split(" "), channelOptions);

    StackExchange.using("externalEditor", function() {
    // Have to fire editor after snippets, if snippets enabled
    if (StackExchange.settings.snippets.snippetsEnabled) {
    StackExchange.using("snippets", function() {
    createEditor();
    });
    }
    else {
    createEditor();
    }
    });

    function createEditor() {
    StackExchange.prepareEditor({
    heartbeatType: 'answer',
    autoActivateHeartbeat: false,
    convertImagesToLinks: true,
    noModals: true,
    showLowRepImageUploadWarning: true,
    reputationToPostImages: 10,
    bindNavPrevention: true,
    postfix: "",
    imageUploader: {
    brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
    contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
    allowUrls: true
    },
    onDemand: true,
    discardSelector: ".discard-answer"
    ,immediatelyShowMarkdownHelp:true
    });


    }
    });














    draft saved

    draft discarded


















    StackExchange.ready(
    function () {
    StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53424980%2fimporting-stock-data-problem-when-plotting-with-ggplot%23new-answer', 'question_page');
    }
    );

    Post as a guest















    Required, but never shown

























    1 Answer
    1






    active

    oldest

    votes








    1 Answer
    1






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    0














    First of all, looks like you have an issue with reading in your data. All your fields have been read in as a character instead of numbers. You need to check what is going on there.



    Secondly, if you are going to load yahoo data, you can use the quantmod package.



    library(quantmod)

    # get the data
    axdata <- getSymbols("^AXJO", from = "2018-09-01", auto.assign = FALSE)


    plot the data:



    chartSeries(axdata)


    Or it you want to work in tidy data the tidyquant package. But that also installs quite a few other packages, but you will get some extra functions like geom_candlestick so you can plot stock data in ggplot2.



    library(tidyquant)

    axdata2 <- tq_get("^AXJO", from = "2018-09-01")

    axdata2 %>%
    ggplot(aes(x = date, y = close)) +
    geom_line()





    share|improve this answer




























      0














      First of all, looks like you have an issue with reading in your data. All your fields have been read in as a character instead of numbers. You need to check what is going on there.



      Secondly, if you are going to load yahoo data, you can use the quantmod package.



      library(quantmod)

      # get the data
      axdata <- getSymbols("^AXJO", from = "2018-09-01", auto.assign = FALSE)


      plot the data:



      chartSeries(axdata)


      Or it you want to work in tidy data the tidyquant package. But that also installs quite a few other packages, but you will get some extra functions like geom_candlestick so you can plot stock data in ggplot2.



      library(tidyquant)

      axdata2 <- tq_get("^AXJO", from = "2018-09-01")

      axdata2 %>%
      ggplot(aes(x = date, y = close)) +
      geom_line()





      share|improve this answer


























        0












        0








        0







        First of all, looks like you have an issue with reading in your data. All your fields have been read in as a character instead of numbers. You need to check what is going on there.



        Secondly, if you are going to load yahoo data, you can use the quantmod package.



        library(quantmod)

        # get the data
        axdata <- getSymbols("^AXJO", from = "2018-09-01", auto.assign = FALSE)


        plot the data:



        chartSeries(axdata)


        Or it you want to work in tidy data the tidyquant package. But that also installs quite a few other packages, but you will get some extra functions like geom_candlestick so you can plot stock data in ggplot2.



        library(tidyquant)

        axdata2 <- tq_get("^AXJO", from = "2018-09-01")

        axdata2 %>%
        ggplot(aes(x = date, y = close)) +
        geom_line()





        share|improve this answer













        First of all, looks like you have an issue with reading in your data. All your fields have been read in as a character instead of numbers. You need to check what is going on there.



        Secondly, if you are going to load yahoo data, you can use the quantmod package.



        library(quantmod)

        # get the data
        axdata <- getSymbols("^AXJO", from = "2018-09-01", auto.assign = FALSE)


        plot the data:



        chartSeries(axdata)


        Or it you want to work in tidy data the tidyquant package. But that also installs quite a few other packages, but you will get some extra functions like geom_candlestick so you can plot stock data in ggplot2.



        library(tidyquant)

        axdata2 <- tq_get("^AXJO", from = "2018-09-01")

        axdata2 %>%
        ggplot(aes(x = date, y = close)) +
        geom_line()






        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Nov 22 '18 at 11:04









        phiverphiver

        13.8k92936




        13.8k92936
































            draft saved

            draft discarded




















































            Thanks for contributing an answer to Stack Overflow!


            • Please be sure to answer the question. Provide details and share your research!

            But avoid



            • Asking for help, clarification, or responding to other answers.

            • Making statements based on opinion; back them up with references or personal experience.


            To learn more, see our tips on writing great answers.




            draft saved


            draft discarded














            StackExchange.ready(
            function () {
            StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53424980%2fimporting-stock-data-problem-when-plotting-with-ggplot%23new-answer', 'question_page');
            }
            );

            Post as a guest















            Required, but never shown





















































            Required, but never shown














            Required, but never shown












            Required, but never shown







            Required, but never shown

































            Required, but never shown














            Required, but never shown












            Required, but never shown







            Required, but never shown







            這個網誌中的熱門文章

            Xamarin.form Move up view when keyboard appear

            Post-Redirect-Get with Spring WebFlux and Thymeleaf

            Anylogic : not able to use stopDelay()