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library(reshape2)
library(googleVis)
## Creating a generic function for 'toJSON' from package 'jsonlite' in package 'googleVis'
## 
## Welcome to googleVis version 0.6.1
## 
## Please read the Google API Terms of Use
## before you start using the package:
## https://developers.google.com/terms/
## 
## Note, the plot method of googleVis will by default use
## the standard browser to display its output.
## 
## See the googleVis package vignettes for more details,
## or visit http://github.com/mages/googleVis.
## 
## To suppress this message use:
## suppressPackageStartupMessages(library(googleVis))
suppressPackageStartupMessages(library(googleVis))
chik <- read.csv('chikang.csv', header = TRUE)
head(chik)
##   Years Andhra.Pradesh Arunachal.Pradesh Assam Bihar  Goa Gujarat Haryana
## 1  2010            116                 1     1     1 1429    1719      26
## 2  2011             99                 1     1    91  664    1142     215
## 3  2012           2827                 1     1    34  571    1317       9
## 4  2013           4827                 1   742     1 1149    2891       1
## 5  2014           1359                 1     1     1 1215     574       3
## 6  2015            817                35     1     3  561     416       1
##   J.K Jharkhand Karnataka Kerala Madhya.Pradesh Meghalaya Maharashtra
## 1   1         1      8741   1718            113        16        7431
## 2   1       816      1941    183            281       168        5113
## 3   1        86      2382     66             21         1        1544
## 4   1        61      5295    273            139         1        1578
## 5   1        11      6962    272            161         1        1572
## 6   1        21     21763    175             67        78         391
##   Orissa Punjab Rajasthan Tamil.nadu Telangana Tripura Uttar.Pradesh
## 1    544      1      1326       4319         1       1             5
## 2    236      1       618       4194         1       1             3
## 3    129      1       172       5118         1       1            13
## 4     35      1        76        859         1       1             1
## 5     11      2        51        543      1687      34             4
## 6     81    181         7        329      2167     181             1
##   Uttarakhand West.Bengal Andaman Chandigarh D.N Delhi Lakshadweep
## 1           1       21513      59          1   1   121           1
## 2          18        4482      96          1   1   111           1
## 3           1        1381     256          1 111     6           1
## 4           1         646     212          1   2    18           1
## 5           1        1132     161          1   1     8           1
## 6           1        1113      68          1   1    64           1
##   Puduchery
## 1        11
## 2        42
## 3        45
## 4       146
## 5       399
## 6       245
chikdf<- melt(chik, id.vars ="Years", States  =  c('Andhra.Pradesh', 'Arunachal.Pradesh', 'Assam', 'Bihar',  'Goa', 'Gujarat', 'Haryana', 'J.K', 'Jharkhand',
                                                         'Karnataka', 'Kerala', 'Madhya.Pradesh', 'Meghalaya', 'Maharashtra', 'Orissa', 'Punjab', 'Rajasthan', 'Tamil.nadu', 'Telangana',
                                                         'Tripura', 'Uttar.Pradesh', 'Uttarakhand',  'West.Bengal',  'Andaman', 'Chandigarh', 'D.N', 'Delhi', 'Lakshadweep', 'Puduchery'))

Chikangunya spread from 2010 to 2016:

M <- gvisMotionChart(chikdf, idvar="variable", 
                     timevar="Years", options = list(width = 800, height = 450))
print(M, tag="chart")

Note that the echo = FALSE parameter was added to the code chunk to prevent printing of the R code that generated the plot.