quandl.get returns NaN and Zeros

quandl.get returns mostly NaN and Zeros

 data=quandl.get(['SGX/INH2018.4','NSE/CNX_NIFTY.4'],rows=50)

Date SGX/INH2018 - Close NSE/CNX_NIFTY - Close

2017-12-15 NaN 10333.25

2017-12-18 NaN 10388.75

2017-12-19 NaN 10463.20

2017-12-20 NaN 10444.20

2017-12-21 NaN 10440.30

2017-12-22 NaN 10493.00

2017-12-26 NaN 10531.50

2017-12-27 10700.0 NaN

2017-12-28 0.0 NaN

2017-12-29 0.0 10530.70

2018-01-01 NaN 10435.55

2018-01-02 0.0 10442.20

2018-01-03 10549.0 10443.20

2018-01-04 0.0 10504.80

2018-01-05 0.0 10558.85

2018-01-08 10685.0 10623.60

2018-01-09 10672.5 10637.00

2018-01-10 10573.5 10632.20

2018-01-11 0.0 10651.20

2018-01-12 10730.5 10681.25

2018-01-15 10800.0 10741.55

2018-01-16 10771.0 10700.45

2018-01-17 0.0 10788.55

2018-01-18 10905.0 NaN

2018-01-19 0.0 10894.70

2018-01-22 10952.0 NaN

2018-01-23 11058.5 11083.70

2018-01-24 0.0 11086.00

2018-01-25 11080.0 11069.65

2018-01-26 0.0 NaN

2018-01-29 11170.5 11130.40

2018-01-30 11118.0 NaN

2018-01-31 11080.5 11027.70

2018-02-01 11050.0 NaN

2018-02-02 10757.5 10760.60

2018-02-05 10720.0 10666.55

2018-02-06 10560.5 10498.25

2018-02-07 10470.0 10476.70

2018-02-08 10557.5 10576.85

2018-02-09 10482.0 10454.95

2018-02-12 10552.0 10539.75

2018-02-13 10487.5 NaN

2018-02-14 10490.0 10500.90

2018-02-15 10584.5 10545.50

2018-02-16 NaN 10452.30

2018-01-03 10549.0 10443.20

2018-02-19 10405.5 10378.40

2018-02-20 10365.5 10360.40

2018-02-21 10402.0 10397.45

2018-02-22 10385.5 10382.70

2018-02-23 10504.5 10491.05

2018-02-26 10597.5 10582.60

2018-02-27 10562.0 10554.30

2018-02-28 10519.0 10492.85

2018-03-01 10447.0 10458.35

2018-03-02 10313.5 NaN

2018-03-05 10360.0 10358.85

2018-03-06 10232.0 10249.25

2018-03-07 10179.0 10154.20

2018-03-08 10238.0 10242.65

Why so many NaN and zeros?
How to get the closing price of the above symbols?.